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Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model * Data Preparation * Publications studying tokenization, data quality, dataset curation, or labeling * Contribution to a major open source corpus * Contribution to open source libraries for data quality, dataset curation, or labeling Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Francisco, CA: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

NYU Langone Health is a fully integrated health system that consistently achieves the best patient outcomes through a rigorous focus on quality that has resulted in some of the lowest mortality rates in the nation. Vizient Inc. has ranked NYU Langone the No. 1 comprehensive academic medical center in the country for three years in a row, and U.S. News & World Report recently placed nine of its clinical specialties among the top five in the nation. NYU Langone offers a comprehensive range of medical services with one high standard of care across 6 inpatient locations, its Perlmutter Cancer Center, and over 320 outpatient locations in the New York area and Florida. With $14.2 billion in revenue this year, the system also includes two tuition-free medical schools, in Manhattan and on Long Island, and a vast research enterprise with over $1 billion in active awards from the National Institutes of Health. For more information, go to NYU Langone Health, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter, YouTube and Instagram. Position Summary: We have an exciting opportunity to join our team as a Cat Scan Technologist/IV Cert, Manhattan - Cancer Center. In this role, the successful candidate will be responsible for performing medically prescribed radiographic and CT procedures. Utilizes computerized tomography (CT) scanners to produce cross-section images of patients internal organs and tissues for the diagnosis of medical issues. Accurately interpret a physicians scanning instructions, administer contrast materials, prepare and operate the CT scan equipment and position the patient to capture the appropriate images. Job Responsibilities: • Performs filming of optimum quality and archives the data. Uses efficient methods and completes examinations assigned in reasonable amount of time. Performs transmission and/or segmentation for transmission to PACS in a complete and proper anatomic display. Generates high quality hard copies of images when necessary. Maintains cleanliness of radiographic area. Prepares equipment and supplies in advance for future exams. Makes alterations in work schedule for STAT and emergency cases. Is able to alter work patterns to satisfy the needs of the patient and medical staff. Is able to recognize a medical emergency and notifies nurse, PA and/or MD immediately. Demonstrates knowledge of proper radiation safety procedures and incorporates them into the performance of all radiographic procedures. Uses gonadal shielding on all patients whenever possible. Restricts beam to the smallest possible area, ensuring the least possible exposure to the patient without compromising quality. Eliminates the possibility of accidental exposures to x-ray by all persons. Maintains radiation detection badges and rings appropriately and returns them as required. Assist in the technical orientation of cross-trained technologist and instructs them in complex or difficult procedures., • Demonstrates knowledge of the hospital and radiology information systems as they relate to radiology. Correctly chooses appropriate patient information from HIS/RIS system in accordance with HIPPA regulations. Demonstrates ability to access patient information such as appointment times, type of exam, and patient reports. Is knowledgeable of the total cycle of RIS patient tracking. Follows departmental policy of documenting begin, complete and departure times, when appropriate, in the RIS. Has working knowledge of film library functions. Demonstrates knowledge of the HIS and is able to access patient data for verification of orders. Competent in scheduling exams in RIS from the order entry queue and/or demonstrates the ability to modify exams when necessary., • Demonstrates skill in setup and administration of IV contrast media. Explains CT or IR procedure and process of administration of contrast to patient and engages radiologist and/or LIP as appropriate per policy. Makes sure contrast media questionnaire has been filled out by patient. Assesses any existing intravenous line or selects appropriate venipuncture site and attaches injector tubing to patients intravenous line. Loads and programs contrast media power injector according to established departmental procedures and assigns appropriate injection rates based on access and protocol. Ensures that all emergency equipment is readily available. Injects intravenous contrast using the power injector and monitors patient for signs of contrast media reaction and/or evidence of extravasation. Notifies radiologist or LIP in case of reaction or extravasation., • Performs other duties as assigned., • Independently implements patient procedures in accordance with departmental protocols and standards. Explains the procedure and equipment to the patient clearly. Provides for patient comfort before, during and after procedure, and maintains an ongoing rapport with the patient throughout the procedure to ease any anxiety the patient may have. Provides for patient privacy at all times. Positions patient and radiographic equipment appropriate to the body part(s) to be radiographed and adjust equipment settings accordingly to insure maximum information is obtained. Scouts the patient and is able to determine what images of a cross-sectional nature are to be taken. Demonstrates knowledge of cross-sectional anatomy to include solid understanding of slices and the relationship between the images produced by these slices and the parts of the body. Is able to determine, based on knowledge of cross-sectional anatomy, when he/she has taken enough slices to complete the procedure. Is able to recognize pathology or abnormalities in images produced from the CT scan (i.e.-tumors, masses, and lesions) in their cross-sectional aspects. Images this area above and below the mass; measures the abnormality as determined by protocol. Solves problems that arise during patient examinations using both technical knowledge and innovation. Alters examination to maximize information in response to patients condition. Confers with other technologists concerning previous approaches utilized. Assists physicians as needed during the course of radiographic CT procedures, as needed. Determines how to display and re-format data as needed., • Effectively assesses patients information and status, and follows appropriate procedure(s) accordingly. Uses standard procedures to identify the correct patient. Checks patients wristband by name, unit, and room number to ensure patients ID matches examination requisition. OR Calls patient by last name, asking patient to confirm their identity by stating their first name. Introduces self to the patient. Reviews patients requisition and understands the type of exam required by each requisition and confers with medical staff regarding clarification when necessary. Seeks information or asks for assistance from supervisor regarding difficult or questionable results. Follows accepted radiologic procedures and uses medical information to determine type of protocol required for radiographic examination. Consults policy and procedure manuals and/or other reference materials as necessary to ensure actions conform to established protocols. Follows special instructions indicated on radiographic requisition. Recognizes need for and follows isolation precautions. Required Licenses: Radiologic Tech Lic - NYS, Am Registry Of Radiologic Tech Preferred Qualifications: Minimum Two years experience in CT. Qualified candidates must be able to effectively communicate with all levels of the organization. NYU Langone Health provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family. NYU Langone Health is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online. View Know Your Rights: Workplace discrimination is illegal. NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $111,072.27 - $111,072.27 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. To view the Pay Transparency Notice, please click here

Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Richmond, VA: $179,400 - $204,700 for Lead Machine Learning Engineer San Jose, CA: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (Gen AI Platform Services) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (AI Foundations) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $179,400 - $204,700 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (LLM Customization and Finetuning) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (Gen AI Platform, Agentic AI & LLM Infrastructure & Orchestration) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher I (Multi-agent Systems, Knowledge Graphs/GraphRAG/Graph-of-Thought / GoT, MCP, LangGraph, Agent Protocols) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. The AI Foundations – AI Software Engineering team builds scalable, state-of-the-art AI architectures designed to transform the software development lifecycle at Capital One. Our goal is to empower internal engineers by developing multi-agent solutions that streamline design, code generation, system migration, and troubleshooting to operate software more effectively at scale.To achieve this, we leverage a cutting-edge stack including LangGraph, MCP, Knowledge Graphs, agent-to-agent protocols, and advanced model customization. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Agentic AI Research * PhD focused on multi-agent systems, autonomous agents, planning, or reinforcement learning * Hands-on experience developing and deploying multi-agent architectures (e.g., using frameworks like LangGraph or specialized agent protocols) * Experience with techniques like tool-use integration, memory management for agents, or verifiable agent behavior * Knowledge Graph Research * PhD focused on knowledge representation and reasoning, graph neural networks (GNNs), or large-scale data integration * Publications in relevant venues (e.g., ISWC, WWW, KDD, Neurips, ICML) on knowledge graph construction, embedding, querying, or reasoning * Experience in designing, implementing, and deploying industrial-scale Knowledge Graph solutions * Demonstrated expertise with graph databases (e.g., Neo4j, JanusGraph) and graph embedding techniques * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Francisco, CA: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher II (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher I (AI Foundations) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Director, Applied Research Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. This is a people manager role that will lead teams to drive strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected people leader, you will guide and mentor a team of applied scientists. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Key Responsibilities: * Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Basic Qualifications: * PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 8 years of experience in Applied Research * At least 5 years of people leadership experience Preferred Qualifications [choose applicable set based on focus of role]: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 10 years of industrial NLP research experience * Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Has worked on an LLM (open source or commercial) that is currently available for use * Demonstrated ability to guide the technical direction of a large-scale model training team * Experience working with 500+ node clusters of GPUs Has worked on LLM scaled to 70B parameters and 1T+ tokens * Experience with common training optimization frameworks (deep speed, nemo) * Behavioral Models * PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) * Member of technical leadership for model deployment for a very large user behavior model * Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR * Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems * Experience with production real-time and streaming environments * Contributions to common open source frameworks (pytorch-geometric, DGL) * Proposed new methods for inference or representation learning on graphs or sequences * Worked datasets with 100m+ users * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large language models * 5+ years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model * Data Preparation * Numerous Publications studying tokenization, data quality, dataset curation, or labeling * Leading contributions to one or more large open source corpus (1 Trillion + tokens) * Core contributor to open source libraries for data quality, dataset curation, or labeling Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $318,100 - $363,100 for Sr Director, Applied Research Cambridge, MA: $350,000 - $399,500 for Sr Director, Applied Research McLean, VA: $350,000 - $399,500 for Sr Director, Applied Research New York, NY: $381,800 - $435,700 for Sr Director, Applied Research Richmond, VA: $318,100 - $363,100 for Sr Director, Applied Research San Francisco, CA: $381,800 - $435,700 for Sr Director, Applied Research Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Distinguished Applied Researcher Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Key Responsibilities: * Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data * Flex your interpersonal skills to translate the complexity of your work into tangible business goals Basic Qualifications: * PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 10 years of industrial NLP research experience * Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs * Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Has worked on an LLM (open source or commercial) that is currently available for use * Demonstrated ability to guide the technical direction of a large-scale model training team * Experience with common training optimization frameworks (deep speed, nemo) * Experience contributing to the team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $278,400 - $317,700 for Distinguished Applied Researcher Cambridge, MA: $306,300 - $349,500 for Distinguished Applied Researcher McLean, VA: $306,300 - $349,500 for Distinguished Applied Researcher New York, NY: $334,100 - $381,300 for Distinguished Applied Researcher San Francisco, CA: $334,100 - $381,300 for Distinguished Applied Researcher Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (FM Hosting, LLM Inference) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Lead AI Engineer Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $209,000 - $238,500 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (Gen AI Platform Services, Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

NYU Langone Health is a fully integrated health system that consistently achieves the best patient outcomes through a rigorous focus on quality that has resulted in some of the lowest mortality rates in the nation. Vizient Inc. has ranked NYU Langone the No. 1 comprehensive academic medical center in the country for three years in a row, and U.S. News & World Report recently placed nine of its clinical specialties among the top five in the nation. NYU Langone offers a comprehensive range of medical services with one high standard of care across 6 inpatient locations, its Perlmutter Cancer Center, and over 320 outpatient locations in the New York area and Florida. With $14.2 billion in revenue this year, the system also includes two tuition-free medical schools, in Manhattan and on Long Island, and a vast research enterprise with over $1 billion in active awards from the National Institutes of Health. For more information, go to NYU Langone Health, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter, YouTube and Instagram. Position Summary: We have an exciting opportunity to join our team as a Lead Tech, Nuclear Medicine. In this role, the successful candidate will be responsible for performing medically prescribed nuclear medicine procedures and assist in the supervision of the technical staff, and facilitates patient flow through the department. Works under general direction. Job Responsibilities: • Demonstrates knowledge of the organization’s Service Standards and incorporates them into the performance of duties., • Provides direction to the technical staff, facilitates patient flow through the department, and provides support to management. Ensures management is apprised of work situations and the performance of each employee, on an ongoing basis, giving clear and accurate information. Utilizes advanced expertise and problem-solving skills to assist staff in the performance of difficult cases and troubleshooting technical problems. Offers continuing guidance on work activities and procedures. Orients employees to new procedures and changes in existing procedures. Trains newly hired technical staff in the procedures of the department and pertinent medical center policies. Understands quality control procedures, identifies problems and implements solutions. Inspects finished radiographs for quality and completion prior to submission for reading. Reports malfunctioning, damaged, or missing equipment to management and appropriate service personnel. Helps to clarify problems with equipment and develops solutions to minor equipment malfunctions. Understands and recognizes the importance of various reports from the HIS and RIS in follow-up and status of work completed, knows how to run these reports, and uses them to maintain these systems as precision tools for the nuclear medicine department. Example: Scheduled Exam Report, Complete-not-dictated. Etc., • Operates hospital and radiology information systems as they relate to nuclear medicine. Correctly chooses appropriate patient information from HIS/RIS system in accordance with HIPPA regulations. Demonstrates ability to access patient information such as appointment times, type of exam, and patient reports. Is knowledgeable of the total cycle of RIS patient tracking. Follows departmental policy of documenting begin, complete and departure times, when appropriate, in the RIS. Demonstrates knowledge of the HIS and is able to access patient data for verification of orders. Competent in scheduling exams in RIS from the order entry queue and/or demonstrates the ability to modify exams when necessary, • Effectively assesses patient’s information and status, and follows appropriate procedure(s) accordingly. Uses standard procedures to identify the correct patient. Checks patient’s wristband by name, unit, and room number to ensure patient’s ID matches examination requisition. OR calls patient by last name, asking patient to confirm their identity by stating their first name. Introduces self to the patient. Reviews patient’s requisition and understands the type of exam required by each requisition and confers with medical staff regarding clarification when necessary. Seeks information or asks for assistance from supervisor regarding difficult or questionable results. Follows accepted nuclear medicine procedures and uses medical information to determine type of protocol required for radiographic examination. Consults policy and procedure manuals and/or other reference materials as necessary to ensure actions conform to established protocols. Follows special instructions as indicated on Nuclear Medicine requisition. Recognizes need for and follows isolation precautions. 5. Independently implements non-imaging procedures in accordance with departmental protocols and standards. Invivo/Invitro-Collects body fluid specimens as necessary at established intervals for in-vivo and in-vitro procedures. Selects appropriate containers/equipment based on type of procedure. Processes specimens in accordance with standard industry practice. Properly operates counting equipment in order to perform in-vivo and in-vitro procedures according to industry practice. 6. Radiopharmacy - Prepares doses and standards properly by quantitating exact dose, activity, and confirming calculated activity using a dose calibrator. Chooses an appropriate container for dilution of standard. Performs “wipe tests” of the exterior package on all radioactive shipments received. Monitors all packaging materials and deface radiation symbols on boxes before discarding. Removes all labels from lead containers being stored for disposal. Stores radioactive materials and non radioactive kits in the appropriate area. Assembles generator and positions it correctly behind barriers. Obtains generator eluate according to manufacturer’s instructions. Prepares compound radiopharmaceuticals according to manufacturer’s specifications and in sufficient amounts to meet the day’s exam activity., 7. Radiation Control- Disposes of radioactive waste according to department policies and procedures, radiation safety guidelines, license specifications, and applicable regulating bodies. Follows radiation protection procedures in order to adhere to local, state, and federal license requirements governing the use of radioactive materials. Takes appropriate measures to reduce exposure whenever possible. Carries out contamination surveys of work areas on a periodic basis according to regulatory guidelines. Performs decontamination procedures when necessary in accordance with departmental procedures; notifies supervisor of any contamination incident., 8. Quality Control-Performs routine imaging system evaluations on all scintillation cameras according to established industry practice. Calibrates and dispenses radioactive gas from bulk load system or unit dose system by loading radioactive gas into administration machine if appropriate. Evaluates the performance of the dose calibrator (ionization chamber) by following appropriate departmental procedures. Develops and maintains quality control procedures for all assays, using appropriate control area and assessment techniques in order to achieve validity and accuracy., 9. Documentation-Maintains all required records pertinent to all quality control procedures performed both before and during imaging procedures. Records all data required pertaining to dose preparation and administration, receipt of radioactive materials, radiopharmaceuticals, and radioactive waste disposal in appropriate logbook. Records all data required pertaining to contamination surveys and decontamination procedures performed in appropriate logbook., 10. Executes equipment set-up, utilization and proper maintenance procedure. Prepares instrument for procedure and correctly chooses proper collimator, imaging parameters, settings, etc. Properly operates laboratory equipment used in all non-imaging in-vivo and in-vitro procedures. Uses imaging and peripheral equipment, in a safe and productive manner in accordance with prescribed hospital, departmental and manufacturer’s procedures. Observes and reports any malfunctioning of the equipment and notifies appropriate persons in case of missing or damaged equipment. Demonstrates knowledge of proper use of computer product printers, i.e. label printers, report printers, etc, and minor adjustments to correct malfunctions., 11. Performs other duties as assigned. Minimum Qualifications: • Associate Degree, • Completion of a Nuclear Medicine Technology Certification Board (NMTCB) recognized nuclear medicine technology program., • Certification/registration in Nuclear Medicine by either the: Nuclear Medicine Technology Certification Board (NMTCB) or The American Registry of Radiologic Technologists (ARRT), • Four years experience as a Nuclear Medicine Technologist, • Good communication and interpersonal skills, • New York State License (Nuclear Medicine). Preferred Qualifications: Completion of a Bachelor's Degree in nuclear medicine technology. Qualified candidates must be able to effectively communicate with all levels of the organization. NYU Langone Health provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family. NYU Langone Health is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online. View Know Your Rights: Workplace discrimination is illegal. NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $115,207.60 - $128,154.60 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. To view the Pay Transparency Notice, please click here

Lead AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

NYU Langone Health is a fully integrated health system that consistently achieves the best patient outcomes through a rigorous focus on quality that has resulted in some of the lowest mortality rates in the nation. Vizient Inc. has ranked NYU Langone the No. 1 comprehensive academic medical center in the country for three years in a row, and U.S. News & World Report recently placed nine of its clinical specialties among the top five in the nation. NYU Langone offers a comprehensive range of medical services with one high standard of care across 6 inpatient locations, its Perlmutter Cancer Center, and over 320 outpatient locations in the New York area and Florida. With $14.2 billion in revenue this year, the system also includes two tuition-free medical schools, in Manhattan and on Long Island, and a vast research enterprise with over $1 billion in active awards from the National Institutes of Health. For more information, go to NYU Langone Health, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter, YouTube and Instagram. Position Summary: We have an exciting opportunity to join our team as a Nuclear Medicine Technologist - Manhattan, Cancer Center. In this role, the successful candidate will b responsible for performing medically prescribed nuclear medicine procedures. Works under general direction. Job Responsibilities: 1. Demonstrates knowledge of the organization’s Service Standards and incorporates them into the performance of duties., 2. Operates hospital and radiology information systems as they relate to nuclear medicine. Correctly chooses appropriate patient information from HIS/RIS system in accordance with HIPPA regulations. Demonstrates ability to access patient information such as appointment times, type of exam, and patient reports. Is knowledgeable of the total cycle of RIS patient tracking. Follows departmental policy of documenting beginning, completion and departure times, when appropriate, in the RIS. Demonstrates knowledge of the HIS and is able to access patient data for verification of orders. Competent in scheduling exams in RIS from the order entry queue and/or demonstrates the ability to modify exams when necessary., 3. Effectively assesses patient’s information and status, and follows appropriate procedure(s) accordingly. Uses standard procedures to identify the correct patient. Checks patient’s wristband by name, unit, and room number to ensure patient’s ID matches examination requisition. OR calls patient by last name, asking patient to confirm their identity by stating their first name. Introduces self to the patient. Reviews patient’s requisition and understands the type of exam required by each requisition and confers with medical staff regarding clarification when necessary. Seeks information or asks for assistance from supervisor regarding difficult or questionable results. Follows accepted nuclear medicine procedures and uses medical information to determine type of protocol required for radiographic examination. Consults policy and procedure manuals and/or other reference materials as necessary to ensure actions conform to established protocols. Follows special instructions as indicated on Nuclear Medicine requisition. Recognizes need for and follows isolation precautions., 4. Independently implements patient procedures in accordance with departmental protocols and standards. Explains the procedure and equipment to the patient clearly. Obtains formal consent when necessary. Provides for patient comfort before, during and after procedure, and maintains an ongoing rapport with the patient throughout the procedure to ease any anxiety the patient may have. Provides for patient privacy at all times. Knowledgeable about patient preparation, considering patient comfort, clothing, pre-medications and any other preparations necessary for the imaging procedure being performed. Prepares radiopharmaceutical dose using proper procedures, and dose calculations. 5. Verifies label on radiopharmaceutical vial. Calculates activity remaining and activity needed for procedure and determines required patient dose, and verifies the radioactivity of the dose using a dose calibrator. Calibrates and dispenses radioactive gas from bulk load system or unit dose system. Positions patient and equipment appropriate to the body part(s) to be studied and adjust equipment settings accordingly to insure maximum information is obtained. Determines how to display and format data as needed. Performs filming of optimum quality and archives the data. Analyzes data acquired and reports results to physician for interpretation. Solves problems that arise during patient examinations using both technical knowledge and innovation. Alters examination to maximize information in response to patient’s condition. Confers with other technologists concerning previous approaches utilized. 6. Assists physicians as needed during the course of the procedure. Uses efficient methods and completes examinations assigned in reasonable amount of time. Performs transmission and/or segmentation for transmission to PACS in a proper anatomic fashion. Generates high quality hard copies of images when necessary. Maintains cleanliness of procedure area. Prepares equipment and supplies in advance for future exams. Makes alterations in work schedule for STAT and emergency cases. Alter work patterns to satisfy the needs of the patient and medical staff as needed. Is able to recognize a medical emergency and notifies nurse, PA and/or MD immediately., 7. Independently implements non-imaging procedures in accordance with departmental protocols and standards. Invivo/Invitro-Collects body fluid specimens as necessary at established intervals for in-vivo and in-vitro procedures. Selects appropriate containers/equipment based on type of procedure. Processes specimens in accordance with standard industry practice. Properly operates counting equipment in order to perform in-vivo and in-vitro procedures according to industry practice. 8. Radiopharmacy - Prepares doses and standards properly by quantitating exact dose, activity, and confirming calculated activity using a dose calibrator. Chooses an appropriate container for dilution of standard. Performs “wipe tests” of the exterior package on all radioactive shipments received. Monitors all packaging materials and deface radiation symbols on boxes before discarding. Removes all labels from lead containers being stored for disposal. Stores radioactive materials and non radioactive kits in the appropriate area. Assembles generator and positions it correctly behind barriers. Obtains generator eluate according to manufacturer’s instructions. Prepares compound radiopharmaceuticals according to manufacturer’s specifications and in sufficient amounts to meet the day’s exam activity., 9. Radiation Control- Disposes of radioactive waste according to department policies and procedures, radiation safety guidelines, license specifications, and applicable regulating bodies. Follows radiation protection procedures in order to adhere to local, state, and federal license requirements governing the use of radioactive materials. Takes appropriate measures to reduce exposure whenever possible. Carries out contamination surveys of work areas on a periodic basis according to regulatory guidelines. Performs decontamination procedures when necessary in accordance with departmental procedures; notifies supervisor of any contamination incident., 10. Quality Control-Performs routine imaging system evaluations on all scintillation cameras according to established industry practice. Calibrates and dispenses radioactive gas from bulk load system or unit dose system by loading radioactive gas into administration machine if appropriate. Evaluates the performance of the dose calibrator (ionization chamber) by following appropriate departmental procedures. Develops and maintains quality control procedures for all assays, using appropriate control area and assessment techniques in order to achieve validity and accuracy., 11. Documentation-Maintains all required records pertinent to all quality control procedures performed both before and during imaging procedures. Records all data required pertaining to dose preparation and administration, receipt of radioactive materials, radiopharmaceuticals, and radioactive waste disposal in appropriate logbook. Records all data required pertaining to contamination surveys and decontamination procedures performed in appropriate logbook., 12. Executes equipment set-up, utilization and proper maintenance procedure. Prepares instrument for procedure and correctly chooses proper collimator, imaging parameters, settings, etc. Properly operates laboratory equipment used in all non-imaging in-vivo and in-vitro procedures. Uses imaging and peripheral equipment, in a safe and productive manner in accordance with prescribed hospital, departmental and manufacturer’s procedures. Observes and reports any malfunctioning of the equipment and notifies appropriate persons in case of missing or damaged equipment. Demonstrates knowledge of proper use of computer product printers, i.e. label printers, report printers, etc, and minor adjustments to correct malfunctions, 13. Performs other duties as assigned. Minimum Qualifications: To qualify you must have a Associate's Degree Nuclear Medicine Technology program or a related health field for all employees hired after August 1, 2016. For new Graduates, a Nuclear Medicine permit issued by NYS Department of Health New York State license in Nuclear Medicine. American Registry of Radiologic Technologist (ARRT) or Nuclear Medicine Technology Certification Board (NMTCB). Strong communication (both written and oral), problem solving, and customer service skills. Basic computer skills including Microsoft Office. Demonstrates a thorough knowledge of Nuclear Medicine equipment.. Required Licenses: Nuc Med Technologist License, Nuclear Med Tech Cert (NMTCB), Am Registry Of Radiologic Tech Preferred Qualifications: Completion of a Bachelors Degree or baccalaureate degree in nuclear medicine technology. Qualified candidates must be able to effectively communicate with all levels of the organization. NYU Langone Health provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family. NYU Langone Health is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online. View Know Your Rights: Workplace discrimination is illegal. NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $108,907.60 - $108,907.60 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. To view the Pay Transparency Notice, please click here

NYU Langone Health is a fully integrated health system that consistently achieves the best patient outcomes through a rigorous focus on quality that has resulted in some of the lowest mortality rates in the nation. Vizient Inc. has ranked NYU Langone the No. 1 comprehensive academic medical center in the country for three years in a row, and U.S. News & World Report recently placed nine of its clinical specialties among the top five in the nation. NYU Langone offers a comprehensive range of medical services with one high standard of care across 6 inpatient locations, its Perlmutter Cancer Center, and over 320 outpatient locations in the New York area and Florida. With $14.2 billion in revenue this year, the system also includes two tuition-free medical schools, in Manhattan and on Long Island, and a vast research enterprise with over $1 billion in active awards from the National Institutes of Health. For more information, go to NYU Langone Health, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter, YouTube and Instagram. Position Summary: We have an exciting opportunity to join our team as a Technologist, Nuclear Medicine. In this role, the successful candidate will be responsible for performing medically prescribed nuclear medicine procedures. Works under general direction. Job Responsibilities: 1. Demonstrates knowledge of the organization’s Service Standards and incorporates them into the performance of duties., 2. Operates hospital and radiology information systems as they relate to nuclear medicine. Correctly chooses appropriate patient information from HIS/RIS system in accordance with HIPPA regulations. Demonstrates ability to access patient information such as appointment times, type of exam, and patient reports. Is knowledgeable of the total cycle of RIS patient tracking. Follows departmental policy of documenting beginning, completion and departure times, when appropriate, in the RIS. Demonstrates knowledge of the HIS and is able to access patient data for verification of orders. Competent in scheduling exams in RIS from the order entry queue and/or demonstrates the ability to modify exams when necessary., 3. Effectively assesses patient’s information and status, and follows appropriate procedure(s) accordingly. Uses standard procedures to identify the correct patient. Checks patient’s wristband by name, unit, and room number to ensure patient’s ID matches examination requisition. OR calls patient by last name, asking patient to confirm their identity by stating their first name. Introduces self to the patient. Reviews patient’s requisition and understands the type of exam required by each requisition and confers with medical staff regarding clarification when necessary. Seeks information or asks for assistance from supervisor regarding difficult or questionable results. Follows accepted nuclear medicine procedures and uses medical information to determine type of protocol required for radiographic examination. Consults policy and procedure manuals and/or other reference materials as necessary to ensure actions conform to established protocols. Follows special instructions as indicated on Nuclear Medicine requisition. Recognizes need for and follows isolation precautions., 4. Independently implements patient procedures in accordance with departmental protocols and standards. Explains the procedure and equipment to the patient clearly. Obtains formal consent when necessary. Provides for patient comfort before, during and after procedure, and maintains an ongoing rapport with the patient throughout the procedure to ease any anxiety the patient may have. Provides for patient privacy at all times. Knowledgeable about patient preparation, considering patient comfort, clothing, pre-medications and any other preparations necessary for the imaging procedure being performed. Prepares radiopharmaceutical dose using proper procedures, and dose calculations. 5. Verifies label on radiopharmaceutical vial. Calculates activity remaining and activity needed for procedure and determines required patient dose, and verifies the radioactivity of the dose using a dose calibrator. Calibrates and dispenses radioactive gas from bulk load system or unit dose system. Positions patient and equipment appropriate to the body part(s) to be studied and adjust equipment settings accordingly to insure maximum information is obtained. Determines how to display and format data as needed. Performs filming of optimum quality and archives the data. Analyzes data acquired and reports results to physician for interpretation. Solves problems that arise during patient examinations using both technical knowledge and innovation. Alters examination to maximize information in response to patient’s condition. Confers with other technologists concerning previous approaches utilized. 6. Assists physicians as needed during the course of the procedure. Uses efficient methods and completes examinations assigned in reasonable amount of time. Performs transmission and/or segmentation for transmission to PACS in a proper anatomic fashion. Generates high quality hard copies of images when necessary. Maintains cleanliness of procedure area. Prepares equipment and supplies in advance for future exams. Makes alterations in work schedule for STAT and emergency cases. Alter work patterns to satisfy the needs of the patient and medical staff as needed. Is able to recognize a medical emergency and notifies nurse, PA and/or MD immediately., 7. Independently implements non-imaging procedures in accordance with departmental protocols and standards. Invivo/Invitro-Collects body fluid specimens as necessary at established intervals for in-vivo and in-vitro procedures. Selects appropriate containers/equipment based on type of procedure. Processes specimens in accordance with standard industry practice. Properly operates counting equipment in order to perform in-vivo and in-vitro procedures according to industry practice. 8. Radiopharmacy - Prepares doses and standards properly by quantitating exact dose, activity, and confirming calculated activity using a dose calibrator. Chooses an appropriate container for dilution of standard. Performs “wipe tests” of the exterior package on all radioactive shipments received. Monitors all packaging materials and deface radiation symbols on boxes before discarding. Removes all labels from lead containers being stored for disposal. Stores radioactive materials and non radioactive kits in the appropriate area. Assembles generator and positions it correctly behind barriers. Obtains generator eluate according to manufacturer’s instructions. Prepares compound radiopharmaceuticals according to manufacturer’s specifications and in sufficient amounts to meet the day’s exam activity., 9. Radiation Control- Disposes of radioactive waste according to department policies and procedures, radiation safety guidelines, license specifications, and applicable regulating bodies. Follows radiation protection procedures in order to adhere to local, state, and federal license requirements governing the use of radioactive materials. Takes appropriate measures to reduce exposure whenever possible. Carries out contamination surveys of work areas on a periodic basis according to regulatory guidelines. Performs decontamination procedures when necessary in accordance with departmental procedures; notifies supervisor of any contamination incident., 10. Quality Control-Performs routine imaging system evaluations on all scintillation cameras according to established industry practice. Calibrates and dispenses radioactive gas from bulk load system or unit dose system by loading radioactive gas into administration machine if appropriate. Evaluates the performance of the dose calibrator (ionization chamber) by following appropriate departmental procedures. Develops and maintains quality control procedures for all assays, using appropriate control area and assessment techniques in order to achieve validity and accuracy., 11. Documentation-Maintains all required records pertinent to all quality control procedures performed both before and during imaging procedures. Records all data required pertaining to dose preparation and administration, receipt of radioactive materials, radiopharmaceuticals, and radioactive waste disposal in appropriate logbook. Records all data required pertaining to contamination surveys and decontamination procedures performed in appropriate logbook., 12. Executes equipment set-up, utilization and proper maintenance procedure. Prepares instrument for procedure and correctly chooses proper collimator, imaging parameters, settings, etc. Properly operates laboratory equipment used in all non-imaging in-vivo and in-vitro procedures. Uses imaging and peripheral equipment, in a safe and productive manner in accordance with prescribed hospital, departmental and manufacturer’s procedures. Observes and reports any malfunctioning of the equipment and notifies appropriate persons in case of missing or damaged equipment. Demonstrates knowledge of proper use of computer product printers, i.e. label printers, report printers, etc, and minor adjustments to correct malfunctions, 13. Performs other duties as assigned. Minimum Qualifications: • Associate's Degree Nuclear Medicine Technology program or a related health field for all employees hired after August 1, 2016. For new Graduates, a Nuclear Medicine permit issued by NYS Department of Health, • New York State license in Nuclear Medicine., • American Registry of Radiologic Technologist (ARRT) or Nuclear Medicine Technology Certification Board (NMTCB)., • Strong communication (both written and oral), problem solving, and customer service skills., • Basic computer skills including Microsoft Office., • Demonstrates a thorough knowledge of Nuclear Medicine equipment.. Preferred Qualifications: Completion of a Bachelor's Degree or baccalaureate degree in nuclear medicine technology. Qualified candidates must be able to effectively communicate with all levels of the organization. NYU Langone Health provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family. NYU Langone Health is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online. View Know Your Rights: Workplace discrimination is illegal. NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $108,907.60 - $121,854.60 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. To view the Pay Transparency Notice, please click here

Lead AI Engineer (MLX) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $225,400 - $257,200 for Sr. Lead AI Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

This job is with Morningstar, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. The Morningstar DBRS U.S. RMBS team is seeking an Assistant Vice President to support the analysis and assignment of credit ratings for U.S. residential mortgage‑backed securities (RMBS). This role offers the opportunity to deepen your structured finance expertise, work closely with senior analysts, and interact with external market participants in a collaborative and analytical environment. The ideal candidate brings strong quantitative skills, excellent attention to detail, and experience working with structured finance or mortgage‑related products. This position is based in New York. Key Responsibilities * Conduct RMBS transaction analysis, including assessment of collateral characteristics, deal structures, credit enhancement levels, and legal frameworks. * Identify and focus on key credit issues during the new‑issue rating process. * Review and evaluate banker cash‑flow model outputs, providing feedback on structural assumptions. * Serve as a co‑lead or back‑up analyst on selected transactions. * Present analytical findings to rating committees with clarity and confidence. * Collaborate with senior analysts to ensure accurate and consistent application of criteria. * Contribute to the enhancement of structured finance criteria, models, and analytical tools. * Perform sensitivities, transaction comparisons, and stress‑testing tasks under the guidance of senior team members. * Produce and publish market updates, newsletters, or concise commentary with minimal supervision. * Participate in meetings with bankers, issuers, investors, and other market participants to discuss transaction details and analytical considerations. * Represent the team professionally in all client‑facing interactions. * Bachelor's degree in finance, economics, math, engineering, computer science, or a related field. * 5-7 years of experience in structured finance, securitization, banking, mortgage finance, or a relevant analytical role. * Strong analytical and quantitative abilities, with excellent attention to detail. * Proficiency in Microsoft Excel and standard Office applications. * Organized, deadline‑driven, and comfortable managing multiple priorities. * Strong communication and presentation skills, with the ability to convey complex concepts clearly. About Us Morningstar DBRS is a leading provider of independent rating services and opinions for corporate and sovereign entities, financial institutions, and project and structured finance instruments globally. Rating more than 4,000 issuers and 60,000 securities, it is one of the top four credit rating agencies in the world. Morningstar DBRS empowers investor success by bringing more transparency and a much-needed diversity of opinion in the credit rating industry. Our approach and size allow us to be nimble enough to respond to customers' needs in their local markets, but large enough to provide the necessary expertise and resources they require. Market innovators choose to work with us because of our agility, tech-forward approach, and exceptional customer service. Morningstar DBRS is the next generation of credit ratings. Compensation and Benefits At Morningstar we believe people are at their best when they are at their healthiest. That's why we champion your wellness through a wide range of programs that support all stages of your personal and professional life. Here are some examples of the offerings we provide: * Financial Health * 100% 401k match up to 6% of salary * Stock Ownership Potential * Company provided life insurance - 1x salary + commission * Physical Health * Comprehensive health benefits (medical/dental/vision) including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plans and coverages * Additional medical Wellness Incentives - up to $300-$600 annual * Company-provided long- and short-term disability insurance * Emotional Health * Trust-Based Time Off * 6-week Paid Sabbatical Program * 6-Week Paid Family Caregiving Leave * Competitive 8-24 Week Paid Parental Leave * Adoption Assistance * Leadership Coaching & Formal Mentorship Opportunities * Annual Flex Stipend - $1000 annually to cover personal education & well-being expenses * Tuition Reimbursement * Social Health * Charitable Matching Gifts program * Dollars for Doers volunteer program * Paid volunteering days * 15+ Employee Resource & Affinity Groups Base Salary Compensation Range $97,854.00 - 157,938.00 USD Annual Incentive Target Percentage 20% Annual If you receive and accept an offer from us, we require that personal and any related investments be disclosed confidentiality to our Compliance team (days vary by region). These investments will be reviewed to ensure they meet Code of Ethics requirements. If any conflicts of interest are identified, then you will be required to liquidate those holdings immediately. In addition, dependent on your department and location of work certain employee accounts must be held with an approved broker (for example all, U.S. employee accounts). If this applies and your account(s) are not with an approved broker, you will be required to move your holdings to an approved broker. Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues. R06_DBRSInc DBRS, Inc. - US Legal Entity

Location(s): Kearny, NJ, US, 07032-4398 Function: Manufacturing Audience: Hourly Work Arrangement: On Site Requisition ID: 68836 Hiring Manager: Hany Azmy HR Rep: Patricia Oltar SUMMARY The purpose of the Maintenance Planner is to perform as professional, highly skilled and exceptionally competent maintenance person in addition to handling the certification, training and management of contractors and all planned maintenance. This role handles the bid and planning process for project work. Participates in teams to develop and implement solutions. Principal Duties and Responsibilities: • Energy Control Procedures (ECP's) and Lock Tag Try (LTT) system. Respect for the potential hazards within the manufacturing operation. Training and regular auditing of the process., • Fluent in the language of the plant., • Computer literacy - email, simple spreadsheet, word doc., • Safe rigging procedures., • Forklift operation, licensed - will provide certification., • Confirm that all contractors have completed the proper safety compliance paperwork before a project begins., • Training and oversee contractors as they come on site to complete projects., • Work with the Reliability Leader and Controller on 901s for project completion., • PLC basics -- Ability to use laptop for troubleshooting and see what limit switch or photo eye isn't working and ability to adjust where needed. Internal various timers in the program; the ability to access status files to diagnose and clear PLC faults., • Troubleshooting basics, how to analyze a problem and step to the root cause. Help reduce cycle time to problem resolution and eliminates the "replace and see what happens method"., • Process 101 - Basic concepts of what it takes to consistently manufacture shingles. Critical product characteristics, key process variables, customer needs etc., • Business 101 - World Class Manufacturing (WCM) concepts, what are they, individual and business benefits. Key business metrics and focus., • Must have minimum two years of plant experience or have demonstrated capability and knowledge to trouble shoot major plant systems. (Filled coating sys, Slate sys, Poly wrap. Etc.), • Installs, modifies or maintains plant equipment and assists in determining appropriate methods to accomplish these tasks., • Must work safely and follow all documented and "common sense" safety polices and procedures., • Read, understand, and analyze blueprints and other technical data references., • Expert use of hand and power tools., • nInspects plant equipment to identify potential problems prior to breakdown occurrences., • Complies with good housekeeping practices on the job and insures work areas are clean and picked up after each job completion., • Follows all environmental compliance polices & programs., • Machining bores, keyways, drill press, grinding; lathe and mill operation., • Ability to properly, precision align belt, gear or direct coupled shafts using proper tools to specified tolerances., • Understanding of lubrication principles and bearing tolerances and basic bearing "physics"-I.E. how does it work in terms of need for extreme care, keeping clean, etc., • Hydraulic systems understanding - hydraulic flow principles. Effects of pipe sizes and valves on pressure drops, making proper fittings per system requirements, proper valve application, etc. Applied to water systems, hot oil, and hydraulic systems., • Same as above for compressed air and steam, (where applicable) systems., • Understanding of pump basics and operating characteristics including effects of suction pressures, head pressures, sealing/packing techniques., • Ability to track conveyor belts properly and understanding the physics of belt operation and tracking including bucket elevators; belt splicing., • Ability to read air and power fluid schematics., • Basic welding for all; structural and piping welding for at least one craft per plant., • Pipefitting - alignment, flange, threading., • Basic electrical component "how they work" understanding: solenoids, motors, heaters, contacts, and photoeyes., • Basic industrial electrical code., • Capability to read schematics and P&ID drawings., • Fusing, thermal overload protection, wire sizing, motor theory, etc., • AC, DC and Servo drive system (basics)., • Be able to safely conduct motor control and power circuit troubleshooting. Understand fuse sizing, take motor amp readings, understand basic DC motor control, etc., • Ability to fully troubleshoot drives-DC and AC variable frequency, and communicate technically with outside technical support when needed., • Ability to fully understand the various control loops in the plant including IM/APC systems and weight control equipment., • Fully competent in electrical noise avoidance-grounding, shielding, etc., • Burner system understanding, troubleshooting and properly tuningComply with all plant rules, • Comply with safety regulations and maintain a clean and orderly work area, • All other duties as assigned or needed The employee should hold the following abilities: • Basic Computer Skills, • Electrical, • Basic PLC, • Hydraulic, • Pneumatics, • Basic Blueprint & Schematic reading, • Basic Welding, • Able to think under pressure and make quick decisions, • Ability to work well in a team or alone The employee must be able to: The employee should have the following: High School or equivalent Complete and pass Electrical CD Rom training provided by plant. • Preferably five (5) years in a related maintenance trade or occupation that involved electrical, hydraulic machinery and equipment in a manufacturing environment., • Able to demonstrate trouble-shooting techniques and have a basic understanding of blueprints., • Basic ability and knowledge of welding practices and hydraulic circuitry., • Advanced understanding of electrical circuitry., • Basic PLC knowledge., • Must have the ability to interpret instructions furnished in written, oral, diagram or schedule form., • Flair for working with large industrial machines. The employee should possess the ability to: • Able to do repetitive hand, arm, leg movements for several hours, • Able to climb on and off of fork truck, • Ability to stand for 10 - 12 hours straight, • Able to climb and descend stairs for up to 12 hours continuously, • Lift and push and pull 50lbs. More than 100 times per day, • Must be able to squat, bend at the waist and knees freely, • Exposure to temperature extremes, • Exposure to sounds or noise levels that maybe uncomfortable, • Bending and twisting, • Handle, control or feel objects, tools or control This job description in no way states or implies that these are the only duties to be performed by the employee(s) incumbent in this position. Employee(s) will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. A review of this position has excluded the marginal functions of the position that are incidental to the performance of fundamental job duties. All duties and responsibilities are essential job functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the incumbents(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, and abilities. This document does not create an employment contract, implied or otherwise, other than an "at will" relationship. About Owens Corning Owens Corning is a residential and commercial building products leader committed to building a sustainable future through material innovation. Our products provide durable, sustainable, energy-efficient solutions that leverage our unique capabilities and market-leading positions to help our customers win and grow. We are global in scope, human in scale with more than 25,000 employees in 31 countries dedicated to generating value for our customers and shareholders and making a difference in the communities where we work and live. Founded in 1938 and based in Toledo, Ohio, USA, Owens Corning posted 2024 sales of $11.0 billion. For more information, visit . Owens Corning is an equal opportunity employer. Except in limited circumstances such as formal apprenticeship programs, Owens Corning does not employ anyone under the age of 18.

Job Description: Overview: We don't simply hire employees. We invest in them. When you work at Chatham, we empower you - offering professional development opportunities to help you grow in your career, no matter if you've been here for five months or 15 years. Chatham has worked hard to create a distinct work environment that values people, teamwork, integrity, and client service. You will have immediate opportunities to partner with talented subject matter experts, work on complex projects, and contribute to the value Chatham delivers every day. Chatham Financial is looking for a Full Stack Engineer to join our Technology Engagements team. You'll build production software across two tracks: custom AI solutions for Chatham's external clients (private equity firms, real estate investors, capital markets organizations) and internal applications that improve how Chatham operates. This is a hands-on building role. You'll write code every day, working across the full stack to ship applications that solve real business problems. The work spans client-facing platforms, workflow automation tools, and internal apps built in partnership with Chatham's product, technology, and business teams. We build with AI, not just about AI. You must be actively using LLM-powered coding tools like Claude Code, Codex, or similar to write, review, and ship code. This isn't optional or nice-to-have. It's how we work. What You'll Do • Build and ship full-stack web applications from database to UI, • Write production Python using modern frameworks (FastAPI, etc.) with clean architecture, solid design patterns, and well-structured code, • Develop React or similar-based frontends that are clean, functional, and user-friendly, • Design and build APIs, services, and integrations across systems, • Work with SQL databases to design schemas, write queries, and manage data, • Build LLM-powered applications: agent orchestration, extraction engines, tool-use patterns, and AI-integrated workflows, • Use Claude Code, Codex, or similar LLM coding tools daily to write, review, and ship code effectively, • Collaborate closely with the AI Solutions Engineers and team leadership to translate client requirements into working software, • Work cross-functionally with Chatham's product, technology, and business teams on internal tools and applications, • Own features end-to-end: architecture, implementation, testing, deployment, • 5+ years of professional software engineering experience, • Strong software architecture skills: design patterns, clean code structure, separation of concerns, building systems that are reliable, robust, and performant, • Full-stack development: Python (FastAPI or similar frameworks), JavaScript, TypeScript, React, • Solid experience with SQL, relational databases, and data modeling, • Hands-on experience building with LLMs: agent orchestration, RAG systems, prompt engineering, tool-use patterns, or AI-integrated applications, • Understanding of how LLMs work, their strengths, limitations, and how to build reliable systems around them, • Active daily use of LLM-powered coding tools (Claude Code, Codex, GitHub Copilot, or similar) to write and ship code. This is a hard requirement., • Experience building and consuming APIs, handling system integrations, and working through the full development lifecycle, • Comfortable working in fast-paced environments where priorities shift and you need to figure things out, • Ability to work independently, make decisions, and ship without heavy oversight, • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience, • Preferred, • Experience with cloud platforms (AWS, Azure, or GCP), • Background at a startup or high-growth company, • Familiarity with data pipelines, ETL, or working with unstructured data, • Competitive compensation: base salary + performance bonus, • Small team, big impact: your work ships to real clients solving real problems, • AI-first environment: we don't just talk about AI, we build with it every day, • Domain expertise: learn capital markets and financial services from the inside, • Stability + speed: 30+ year firm with an entrepreneurial team culture For New York based candidates, the compensation range for the position is expected to be between $100,000 and $140,000 annually. Total compensation, including base pay, discretionary individual bonus and company bonus, may be higher than range listed, depending on applicant's skills, qualifications, and experience. Benefits include health insurance, life and disability insurance, 401k, EAP, paid holidays and paid time off. About Chatham Financial: Chatham Financial is the leading independent capital markets advisor, delivering an integrated blend of expert advice and powerful technology to help you reduce risk and seize opportunity. With decades of capital markets strategy, execution, monitoring, and performance expertise, we serve as an unwavering advocate for your best interests and your innovation partner. Our technology platform unifies data across assets, debt, and derivatives, giving you unmatched agility, transparency, and insight. It's clear ahead. Our commitment is to carry that light forward in every partnership, every solution, and every market we serve. We help guide the way-giving clients the insight and momentum to move forward with confidence, no matter what lies ahead.

Job Title Retail Sales Associate - Bilingual English/ Spanish a PLUS! Job Overview Our Retail Sales Associates are a driving force behind Bob's Discount Furniture's success and expansion. Whether you're looking for full-time or part-time opportunities, you'll find a supportive, fun, and team-oriented environment at Bob's. As a Retail Sales Associate, you'll help customers bring their home design dreams to life while delivering world-class service in a low-pressure, gimmick-free atmosphere-just the way Bob's intended! What You'll Bring to Bob's At Bob's Discount Furniture, we value the unique skills and experiences that each candidate brings. Success in this role is driven by a combination of customer service ability, interpersonal skills, and a passion for helping others. If you enjoy working with people, are energized by a sales environment, and love home decor, this role is for you! Key Skills for Success To excel in this role, you will need to demonstrate strengths in the following skill areas: Core Competencies & Expertise * Customer Engagement and Active Listening * Relationship Building and Client Follow-Up * Consultative Selling and Product Knowledge Application * Team Collaboration and Communication * Adaptability to Retail Schedules and High-Energy Environments * Comfort with Digital Tools and Point-of-Sale Systems * Organizational Skills and Time Management * Problem Solving and Goal Orientation Preferred Competencies & Skills * Previous retail or commission-based sales experience * Bilingual communication skills * Passion for home design and interior decor * Experience with customer relationship management tools or systems Who We Are At Bob's, we have fun, we love what we do, and we're growing fast! As one of the leading omni-channel furniture retailers in the country with over 200 stores, we're committed to creating a workplace that values skills-based hiring, diverse perspectives, and an inclusive culture where everyone can thrive. How We Will Support Your Success We know you have many choices when it comes to your career. At Bob's, we invest in your growth, well-being, and career advancement. Benefits & Perks * Hourly Advance / Draw vs. Commission pay structure * Medical, Dental, and Vision coverage * Employer-paid and voluntary Life Insurance options * 401(k) Profit Sharing Plan with generous match * Paid time off including vacation, sick days, holidays, and your birthday! * Employee Assistance Program and Emergency Support Programs (Bail Out & Helping Hand) * Exclusive Employee Discounts * Flexible retail schedules * Tuition reimbursement and professional development opportunities Our Culture & Core Values At Bob's, we believe in fostering a positive, inclusive, and skill-driven work environment. Our core values-Honesty, Integrity, Transparency, Community, Safety, Diversity, Accountability, and Fun-guide everything we do. We're not just a workplace; we're a team that supports and celebrates each other! Minimum Qualifications * Energetic and self-motivated with strong interpersonal skills * Basic computer proficiency * Must be at least 18 years old to be considered for employment with Bob's * Ability to work a flexible retail schedule Physical Demands * Ability to stand for long periods and move throughout the showroom * Must be able to lift and move up to 50 lbs as needed Diversity is a Core Value at Bob's At Bob's Discount Furniture, we want you to feel at home. Whether you're shopping with us or a part of the Bob's team, we want you to know that you are valued, appreciated, and free to be who you are. We are committed to creating a place as diverse as the communities we serve. Expected Base Pay Not Including Potential Commissions, Incentive, Bonus, etc. Opportunities: Pay: $15.49 advance VS commission It is policy of Bob's Discount Furniture, Inc., to provide equal employment opportunity to all employees and applicants for employment. No person shall be discriminated against or harassed because of race, religion, color, sex, age, national origin, disability, pregnancy, citizenship, veteran or military status, or any other protected status in accordance with federal, state or local law. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact ___. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.

Be part of an amazing story Macy's is more than just a store. We're a story. One that's captured the hearts and minds of America for more than 160 years. A story about innovations and traditions...about inspiring stores and irresistible products...about the excitement of the Macy's 4th of July Fireworks, and the wonder of the Thanksgiving Day Parade. We've been part of memorable moments and milestones for countless customers and colleagues. Those stories are part of what makes this such a special place to work. Job Overview The Buyer drives omnichannel sales, margin, turn, and growth in their area of responsibility and supports total company objectives. They manage pre-season and in-season assortment building, including assortment selection and assortment driver strategies. The Buyer develops and executes a strategic vision with a progressive, customer-centric approach, delivering on sales and profit objectives. Building trust with their teams and key collaborators is fundamental. Demonstrating curiosity in a broader and more complex business environment, transcending the traditional competitive landscape, is crucial to re-engaging customers. Other duties are performed as assigned. The Buyer is known as a trusted, collaborative, and results-oriented leader, business partner, and change agent who leads through influence, possessing professional maturity and industry credibility. The ideal candidate is comfortable and effective leading through significant complexity, quickly evaluating and sun-setting legacy approaches that no longer align with the strategy. They are known for both vision and an equally strong orientation for speed. What You Will Do • Lead and manage the development of the assortment, including assortment selection and strategies, to support the high-level assortment vision and maximize sales, margin, and turnover., • Develop and maintain strong relationships with vendors., • Develop a pre-season assortment vision aligned with company priorities and insights from Digital, Private Brands, and Planning Director counterparts., • Evaluate upcoming season trends in partnership with Trend Research and Forecasting and key vendors, recommending key trends and opportunities., • Partner with Financial Planning and Merchandise Planning to ensure department-level financial targets support assortment strategy., • Collaborate with Private Brands and Merchandise Planning to develop assortment vision guiding product development strategy, color/sizing opportunities, testing new products/categories, and alignment on marketing/digital strategy., • Make in-season changes for the department and vendors based on sales, margin, and turnover forecasts from Financial Planning., • Present ROF strategy and problem resolution plan in partnership with Financial Planning., • Review category, class, and item performance analysis by Associate and Assistant Buyers, determining in-season item-level changes and reorder opportunities., • Maintain industry presence to foster connections, identify new business opportunities, and generate ideas for Macy's. Represent and support the Macy's brand while engaging in industry activities., • Conduct regular meetings with vendors to discuss current business and plan for the future., • Cultivate trust and collaborative relationships with the supplier community, in collaboration with Trend Research and Forecasting., • Establish pre-season pricing strategy with input from the Digital Director and partner with the Pricing team on in-season adjustments., • Collaborate with the Merchandise Marketing team and Digital Director to set content and promotional strategies, including FOB events., • Coordinate vendor marketing and co-op requests, collaborating with the Merchandise Marketing team and receiving input from the Digital Director., • Develop and lead pre-season and in-season merchandising vision and strategy to create a seamless shopping experience for customers both in stores and online., • Maximize sales, margin, and turnover by establishing and communicating a store merchandising strategy that optimizes presentation and salability. Communication Skills: Proficient in open and continuous communication, adept at keeping others informed, and capable of presenting information clearly and concisely. Leadership Abilities: Excellent leadership skills, with a dynamic, transformational approach and a passion for driving results. Ability to lead teams effectively in a changing and ambiguous business environment. A dynamic and transformational leader passionate about their work, inspiring others and advocating for talent within the organization. Interpersonal Skills: Strong interpersonal skills, facilitating collaboration across functional lines and at various organizational levels. Creative and Strategic Thinking: Ability to think creatively, strategically, and technically, enabling innovative solutions to business challenges. Technical Proficiency: Proficiency in MS Office computer programs is essential for the role. Team Development: Track record of developing diverse and forward-thinking teams, fostering talent with a company-wide mindset and prioritizing colleague and business needs. Skilled at building engaged and highly functional teams and partnerships, cultivating a culture that encourages fresh thinking and connectedness at all organizational levels. Empowerment and Independence: Ability to maintain focus on vision and outcomes, empowering team members to make decisions independently without traditional hierarchical approval. Collaborative Approach: Collaborative and supportive style with a strong ability to establish trust and build relationships across all levels and functions of the organization. Resilience and Energy: Resilient, tenacious, and high-energy, capable of bouncing back rapidly from adversity and driving forward momentum in challenging situations. Who You Are • Candidates with a bachelor's degree or equivalent work experience in a related field are encouraged to apply. 5+ years of related experience., • Regularly required to sit, talk, hear; use hands/fingers to touch, handle, and feel. Occasionally required to move about the workplace and reach with hands and arms. Requires close vision. Join a team where work is as rewarding as it is fun! We offer a dynamic, inclusive environment with competitive pay and benefits. Enjoy comprehensive health and wellness coverage and a 401(k) match to invest in your future. Prioritize your well-being with paid time off and eight paid holidays. Grow your career with continuous learning and leadership development. Plus, build community by joining one of our Colleague Resource Groups and make a difference through our volunteer opportunities. Some additional benefits we offer include: • Merchandise discounts, • Performance-based incentives, • Annual merit review, • Employee Assistance Program with mental health counseling and legal/financial advice About Us This is a great time to join Macy's! Whether you're helping a customer find the perfect gift, streamlining operations in one of our distribution centers, enhancing our online shopping experience, buying in-style and on-trend merchandise to outfit our customers, or designing a balloon for the Thanksgiving Day Parade, we offer unique opportunities to be part of some of the most memorable moments in people's lives. Join us and help write the next chapter in our story - Apply Today! This job description is not all-inclusive. Macy's, Inc. reserves the right to amend this job description at any time. Macy's, Inc. is an Equal Opportunity Employer, committed to a diverse and inclusive work environment. MERCH00

Posting Date 01/29/2026 262 Broad St, Newark, New Jersey, 07104-3809, United States of America Teammate must be willing to work within the float neighborhood defined below. • Full Time Float teammates are expected to work 4-5 days/week (30-40 hours/week). Part Time Float teammates are expected to work 3-4 days/week (24-30 hours/week). • Float teammates must be willing to work every other Saturday or two Saturdays in a four-week period., • Float teammates must be willing to work opening shifts, mid shifts, and closing shifts., • Float teammates are expected to float to all clinics within their float neighborhood., • Float teammates are not expected to work six days/week or nocturnal shifts. DaVita is seeking a Registered Nurse to join our outpatient dialysis team. In this role, you'll provide life-saving care to patients with end-stage renal disease or chronic kidney conditions. No dialysis experience required-just a commitment to compassionate, high-quality care. . Responsibilities: • Deliver direct patient care in an outpatient dialysis setting, • Monitor patients, manage treatment plans, and respond to health changes, • Collaborate with a supportive clinical team, including Patient Care Technicians, • Educate patients and families on kidney health and treatment options, • Float to nearby clinics as needed; flexible schedule required What to Expect: • Fast-paced, hands-on environment, • Long-term patient relationships, • Broad nursing skill application with medically complex patients, • Paid training provided Schedule: • Flexible shifts including mornings, evenings, weekends, and holidays, • Training may occur at a clinic other than your home location Qualifications: • RN license in the state of practice, • ADN required; BSN preferred, • Basic computer proficiency, • Reliable transportation for potential floating Preferred (Not Required): • Experience in ICU, CCU, ER, or Med Surg, • CNN/CDN certification Benefits: • Medical, dental, vision, and 401(k) match, • Paid time off and PTO cash-out, • Family support: EAP, Headspace, parental leave, backup child/elder care, • Career growth and tuition support Join DaVita and help patients live better, healthier lives. Apply today. #LI-SY1 At DaVita, we strive to be a community first and a company second. We want all teammates to experience DaVita as "a place where I belong." Our goal is to embed belonging into everything we do in our Village, so that it becomes part of who we are. We are proud to be an equal opportunity workplace and comply with state and federal affirmative action requirements. Individuals are recruited, hired, assigned and promoted without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, protected veteran status, or any other protected characteristic. This position will be open for a minimum of three days. The Wage Range for the role is $40.00 - $55.00/hour. For location-specific minimum wage details, see the following link: ___ Compensation for the role will depend on a number of factors, including a candidate's qualifications, skills, competencies and experience. DaVita offers a competitive total rewards package, which includes a 401k match, healthcare coverage and a broad range of other benefits. Learn more at ___ Colorado Residents: Please do not respond to any questions in this initial application that may seek age-identifying information such as age, date of birth, or dates of school attendance or graduation. You may also redact this information from any materials you submit during the application process. You will not be penalized for redacting or removing this information.

The Department of Applied Physics and Applied Mathematics (APAM) at Columbia University in the City of New York invites applications for Associate Research Scientist positions in the area of magnetically confined plasma research. There are up to 4 positions under consideration. The successful candidate will advance research in magnetically confined plasmas and support the broader goals of the Columbia Fusion Research Center. In the tokamak area, the candidate may conduct research on experimental tokamak facilities in the public sector. Examples include the DIII-D tokamak located at General Atomics or the National Spherical Torus Experiment Upgrade located at Princeton Plasma Physics Laboratory, or tokamaks located abroad. In the stellarator area, the candidate may conduct research in coil optimization, energetic particle physics, and other related activities. Activities may also be conducted in support of industrially sponsored research contracts originating from a wide array of sponsors, including concepts beyond tokamaks and stellarators. The successful candidate will also be expected to assist in the mentorship of more junior scientists, post-doctoral researchers, and students. In addition, the candidate is expected to conduct both supporting and independent research towards the execution of the Columbia Fusion Research Center research program, likely supporting multiple research awards. Candidates for professional officer of research positions are expected to have established their ability to conduct original, independent scientist research. To the rank of an associate research scientist, candidate's qualifications and contributions to their fields of research must be equivalent to those of an assistant professor. All candidates for all officer of research positions are expected to be able to work well in a team and to communicate effectively the results of their research or research activities both orally and in writing. The level of appointment is commensurate with experience. The earliest position is expected to begin on approximately Jan 1st 2026 or sooner if possible, with possible additional positions being filled later in 2026. The search will close no sooner than December 1st 2025 and will remain open until the positions are filled. Columbia University is an Affirmative Action/Equal Opportunity Employer. Minimum Qualifications: Ph.D. (or equivalent professional degree) in plasma physics or a related field, and experience with different computer environments and languages especially Python, Matlab, IDL, FORTRAN and UNIX/LINX. Candidates for professional officer of research positions are expected to have established their ability to conduct original, independent scientist research. To the rank of an associate research scientist, candidate's qualifications and contributions to their fields of research must be equivalent to those of an assistant professor. All candidates for all officer of research positions are expected to be able to work well in a team and to communicate effectively the results of their research or research activities both orally and in writing. Preferred Qualifications: Familiarity of working with magnetically confined plasma computational modeling tools and their application to interpret experimental or simulated data. Familiarity with magnetically confined plasma experimental data and measurement methods. Demonstrated track record of mentorship of junior scientists, post-doctoral fellows, or students. Publications in top-rated journals in the field and presentations at national and international conferences. Candidates should be open to relocation to the New York City area. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

NA The Innovation & AI Senior Analyst will support the firm's Innovation & AI strategy by coordinating, executing, and scaling key innovation, legal technology initiatives across the firm. The role will focus on managing technology pilots, developing and refining practice use cases, and supporting the design and deployment of client-facing solutions that enhance service delivery and create new value for clients. The Innovation & AI Senior Analyst will: • Serve as a central point of coordination between partners, lawyers, business services teams, and external vendors to move innovation initiatives from concept through implementation., • Lead structured pilot programs, including scoping, requirements gathering, testing, feedback collection, and evaluation, to determine which tools and solutions should be scaled across the firm, within specific practice groups, or for key transaction types., • Work closely with practice groups to identify opportunities to improve efficiency, enhance matter and transaction delivery, and develop new client offerings through the use of AI, automation, data, legal technology, and transactions technology support. The roles and responsibilities of this job include: * Coordinate and manage end-to-end innovation, legal technology, and transactions technology initiatives, from initial concept through pilot and implementation. * Lead structured pilot programs, including scoping, requirements gathering, solution configuration, user testing, feedback collection, measurement of outcomes, and go/no-go recommendations for wider rollout. * Act as a central liaison between partners, lawyers, business services teams (including IT, Knowledge, BD, and Risk), and external vendors to ensure alignment, clear communication, and timely delivery of initiatives. * Develop, document, and refine practice-specific technology use cases, including articulating problem statements, desired outcomes, and measurable benefits. * Support the design, build, and deployment of client-facing tools, dashboards, and solutions that leverage AI, automation, data, and legal technology to enhance client service and differentiate the firm's offerings. * Work closely with transactional and other practice groups to identify opportunities to improve efficiency, consistency, and quality in matter and transaction delivery through process improvement and technology. * Prepare and maintain project documentation (e.g., project plans, status reports, requirements documents, testing scripts, training materials) to support effective execution and governance of initiatives. * Develop and deliver training, demos, and guidance materials to lawyers and business services teams to drive adoption and effective use of new tools and solutions. * Monitor, measure, and report on the performance and impact of deployed tools and initiatives, using agreed KPIs and feedback to recommend enhancements and continuous improvement. * Contribute to the ongoing refinement and execution of the firm's Innovation & AI strategic roadmap, providing insights from pilots, user feedback, and market developments. The qualifications for this role are: Education and Experience • Bachelor's degree required; a degree in business, information systems, computer science, law, or a related field preferred., • Experience in a law firm, professional services, financial services, or technology/consulting environment, with exposure to legal operations, innovation, or technology implementation., • Demonstrated experience managing or supporting technology projects or pilots, ideally involving AI, automation, data analytics, or legal/transactions technology tools. Technical and Professional Skills • Familiarity with AI and automation concepts (e.g., machine learning, NLP, generative AI) and their application to legal workflows and transaction processes., • Strong understanding of legal technology tools (e.g., document automation, contract review, due diligence, deal management, data rooms, collaboration platforms)., • Solid project coordination or project management skills, including scoping, requirements gathering, testing, and stakeholder communication., • Proficiency with standard business tools (e.g., Excel, PowerPoint) and comfort working with data, dashboards, or basic analytics. Core Competencies • Proven ability to work effectively with partners, lawyers, and business services teams, including the ability to translate between legal/user needs and technical requirements., • Strong analytical and problem-solving skills, with the ability to break down complex processes, identify inefficiencies, and propose practical technology-enabled solutions., • Excellent written and verbal communication skills, including the ability to prepare clear documentation, presentations, and training materials., • High level of organization and attention to detail, with the ability to manage multiple matters, pilots, and stakeholders in parallel., • Collaborative, client-service mindset, with a focus on driving adoption, measurable value, and continuous improvement., • Curiosity and adaptability, with an interest in staying current on emerging AI, legaltech, and transactions technology trends and best practices. Compensation Range: $133,600 - $183,700 This role reports to Senior Manager - Innovation and AI Equal Opportunities White & Case is an Equal Employment Opportunity (EEO) employer and is committed to creating a fair workplace. It is our Firm's policy to recruit, employ, train, compensate and promote without regard to race, color, religion, creed, national origin, age, gender, sexual orientation, marital status, military or veteran status, disability, genetic information, or any other category protected by applicable law. Applicants who are interested in applying for a position and require an accommodation during the process should contact . Benefits at White & Case White & Case LLP offers a comprehensive suite of benefit programs to all eligible employees, including medical, dental, and vision insurance, life and disability coverage, 401(k) retirement savings, vacation time, and leave programs (including parental leave). Exempt roles are also performance bonus eligible. The Firm may modify and amend any job description at any time in its sole discretion. Nothing herein creates a contract of employment or otherwise modifies the at-will nature of employment. The above is only a general description of the essential duties associated with this position and does not represent an exhaustive or comprehensive list of all duties. New York Pay Range: -. Salary range in other markets will vary. Note to Recruitment Agencies Our internal Recruitment team manages all aspects of lateral hiring. All agencies must have signed terms of business-specific to the relevant office-before submitting any candidates. CVs or applications sent directly to White & Case partners or employees will also not be considered formal introductions. If you have questions, please contact the relevant Recruitment team. We work with our preferred suppliers when engaging agencies.

Location(s): Kearny, NJ, US, 07032 Function: Manufacturing Audience: Hourly Work Arrangement: On Site Requisition ID: 68837 Hiring Manager: Brandon Coulter HR Rep: Patricia Oltar SUMMARY The purpose of the Operator Helper is to provide assistance as needed to the Operators in the asphalt production process. Good mechanical skills, basic computer skills (training available) and good team communication skills are required by the job. This job requires excellent self-direction working alone or in small teams with little direct supervision. Principal Duties and Responsibilities: • Notify your supervisor immediately of any accident, near miss or on- the -job injury when it occurs no matter how insignificant it may seem., • Take personal ownership to work safely each and every day and hold other team members to the same high standards of safety., • Strive to maintain TPM (Total Productive Maintenance) goals of zero losses, zero accidents, zero defects, • Fix unsafe conditions and report them immediately to supervisor., • Certify and operate in all of the following areas: Truck Loading and Unloading and Boiler Incinerator. Required to train and obtain a Boiler Operator License from the State of New Jersey., • Perform the administrative tracking tasks of data entry, BOL processing, production entry, receiving, and general organization., • Be able to climb up to three floors of stairs, read panel displays, use operations manuals for troubleshooting, use full upper body movement for process, stand up to 12 hours with breaks., • Become certified to operate a forklift., • Attend and participate in meetings and training., • Participate in projects and collaborate with Maintenance to facilitate equipment repairs, • Know and follow all plant environmental control policies and procedures., • Meet team expectations such as reliability, teamwork, and process improvement. Maintain and improve productivity teamwork, quality and safety., • Complies with good housekeeping practices on the job., • Follows all environmental compliance polices & programs., • Comply with all plant rules., • Comply with safety regulations and maintain a clean and orderly work area., • Regular Attendance on site and ability to rotate to varying shifts., • Engages in TPM activities, supporting the plant initiatives, • Actively leads and improves TPM processes., • Encourages new ideas to create best practices., • Supports pillar progress and addresses issues by submitting TPM tags ensuring continued progress for the plant The employee should hold the following abilities: • Good communication skills, • Accountability and ownership for actions, • Able to think under pressure and make quick decisions, • Ability to work well in a team or alone, • Able to communicate in English The employee must be able to: The employee should have the following: • High School Diploma or GED Equivalent, • Manufacturing or Asphalt production experience is a plus The employee should possess the ability to: • Ability to stand for 10 - 12 hours straight, • Able to climb and descend stairs for up to 12 hours continuously, • Lift and push and pull 50lbs. More than 100 times per day, • Able to do repetitive hand, arm, leg movements for 12 hours, • Must be able to squat, bend at the waist and knees freely, • Exposure to temperature extremes, • Exposure to sounds or noise levels that maybe uncomfortable, • Bending and twisting, • Handle, control or feel objects, tools or control, • Repetitive movements This job description in no way states or implies that these are the only duties to be performed by the employee(s) incumbent in this position. Employee(s) will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. A review of this position has excluded the marginal functions of the position that are incidental to the performance of fundamental job duties. All duties and responsibilities are essential job functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the incumbents(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, and abilities. This document does not create an employment contract, implied or otherwise, other than an "at will" relationship. About Owens Corning Owens Corning is a residential and commercial building products leader committed to building a sustainable future through material innovation. Our products provide durable, sustainable, energy-efficient solutions that leverage our unique capabilities and market-leading positions to help our customers win and grow. We are global in scope, human in scale with more than 25,000 employees in 31 countries dedicated to generating value for our customers and shareholders and making a difference in the communities where we work and live. Founded in 1938 and based in Toledo, Ohio, USA, Owens Corning posted 2024 sales of $11.0 billion. For more information, visit . Owens Corning is an equal opportunity employer. Except in limited circumstances such as formal apprenticeship programs, Owens Corning does not employ anyone under the age of 18. Nearest Major Market: New York City Nearest Secondary Market: Newark

$10,000 Sign On Bonus for External Candidates At Optum, you'll have the clinical resources, data and support of a global organization behind you so you can help your patients live healthier lives. We believe you deserve an exceptional career, and will empower you to live your best life at work and at home. Experience the fulfillment of advancing the health of your community with the excitement of contributing new practice ideas and initiatives that could help improve care for millions of patients across the country. Because together, we have the power to make health care better for everyone. Join us and discover how rewarding medicine can be while Caring. Connecting. Growing together. The Mammography Technologist will be responsible for performing quality patient care and mammographic images for successful diagnostic of patients for the radiologist. This also includes creating a tranquil environment, so patients will be able to adhere to examination instructions. Primary Responsibilities: • Identify anatomical orientation on all required images and assures proper file identification on all images, • Demonstrate competency performing all mammographic procedures and the operation of all related equipment, • Greet patients, obtain history, and enters information in computer system, • Obtain mammographic images according to guidelines, • Maintain logs; process paperwork for biopsies, • Utilize sterile techniques preventing contamination, • Maintain quality standards as it relates to HIPAA regulations, • All clinical aspects of mammography suite; maintains cleanliness of examination rooms. Stock necessary medical and radiologic supplies, • Assists in the completion of the accreditation process for American College of Radiology (ACR) every three years Maintain CPR certification, • Observe patient vital signs during examination, • Provide coverage as needed (i.e. in the event of call outs or extended patient schedules), • Provide instruction/mentoring to new hires, • Provide a positive patient experience; share information with patients, providing knowledge about the procedure; ensuring they are aware of follow-up steps and requirements, • Maintain communication with radiologists and other physicians, patients and their families, and other persons, • Other duties as assigned by manager You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: • ARRT (American Registry of Radiologic Technologist) (M) certified, • Diagnostic Mammography certified unless new grad, then 180 days contingent for certification, • Electronic medical records experience Preferred Qualifications: • Associate's degree or Bachelor's degree in Radiography, Radiation Therapy, or Nuclear Medicine, • 1+ years of experience as a general radiologic technologist, • EPIC EMR experience Physical Requirements: • Standing and walking for extended periods of time, • Able to lift and carry items weighting up to 50 pounds, • Able to lift patients weighting up to 300 pounds and place them in appropriate positions for operation of equipment, • Eyesight correctable to 20/20 to operate equipment and review developed films Core customers and key relationships: • Patients, • Patients Families and Friends, • Physicians and Other Medical Staff, • External Medical Partners Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The hourly pay for this role will range from $28.94 to $51.63 per hour based on full-time employment. We comply with all minimum wage laws as applicable. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

Job Description Responsibilities: • Maintains, analyzes, troubleshoots, and repairs computer systems, hardware and computer peripherals., • Documents, maintains, upgrades or replaces hardware and software systems., • Supports and maintains user account information including rights, security and systems groups., • Receives and documents all user support calls, Emails in the IT Web Help Desk application for problem resolution., • Escalates tickets when issues are not easily identified or corrected., • Provides help desk coverage, direction of problem resolution of workstation hardware, software and printers., • Maintains and updates the help desk database. Track and follow up on unresolved issues and report same as requested., • Relies on experience and judgment to plan and accomplish goals., • Performs a variety of IT related tasks as assigned., • Works under general supervision; reports to the Director of IS Support Services., • Evaluates documented resolutions to analyze trends for prevention of future problems., • Alerts management of emerging trends in incidents., • A certain degree of creativity and latitude is required., • Experience in industry-standard technologies and methodologies., • Deliver support and training to end users in the organization on the various types of software programs efficiently and effectively in fulfilling business objectives., • Assist with development and improvement of in-house software applications training programs and related courseware., • Provide End-User Training as required., • An associate's degree or its equivalent desired and 2-5 years of experience in the field or in a related area., • A certain degree of creativity and latitude is required. AmeriCorps, Peace Corps and other national service alumni are encouraged to apply. Technology Statement: Applicants may be responsible for providing the equipment and tools they need to work remotely as required, such as access to a computer, internet service, and phone service. Safe Horizon will discuss potential solutions with candidates and may assist where needed and agreed to in advance. Please follow this link to view complete EEO Law and complaint filing information: Know Your Rights: Workplace discrimination is illegal. Hiring Range: $25.83 - $27.48 Hourly Full-time Hours: 35 Hours per week Full-time Benefits: Vacation Time, Paid Sick Time, Holidays, Medical, Dental, Vision, 403(b) Retirement Plan, Company Life Insurance, Medical/Dependent Care Flexible Spending Accounts, Tuition Assistance Program, Commuter Benefits Program, Gym Reimbursement, Parental Leave, Employee Learning Center

Job DescriptionJob Overview We are currently seeking a full time Level I/II Desktop Support Engineer with 2-3 years of extensive hands-on experience with the following: PC, Mac and Printer break/fix. Responsibilities • Provide phone support and on-site remediation for workstation issues, • Troubleshooting and resolving customer system problems across a broad range of technologies, • Provide onsite installations of new software and upgrades, • Provide installation of service Packs and security updates, • Provide onsite support and installations to clients, • Provide Desktop support including analyzing and resolving end-user issues, • Provide printer troubleshooting Skills & Experience, • Knowledge of MAC and Windows operating systems and desktop applications, • Experience with installing, configuring, and administering a broad range of technologies, • Reliable, who can work with little to no supervision, • Excellent written and verbal communication skills, • Knowledge of Cisco Phone Systems a plus Powered by JazzHR OLUSueZj8n

Job Description We are looking for a Onsite Desktop Support Engineer to provide technical assistance to our clients. You will help install, upgrade and troubleshoot hardware and software systems. If you’re computer-savvy and enjoy supporting end users, we’d like to meet you. To succeed in this role, you should have a problem-solving attitude along with the ability to give clear technical instructions. You should also be familiar with remote troubleshooting techniques. Ultimately, you will ensure prompt and accurate customer service and increase client satisfaction. Note: U.S. citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor at this time. This position may requires onsite presence and travel to project / client location/s Responsibilities • The Onsite Desktop Support Technician role is to provide a single point of contact for local office end users to receive support and maintenance within the organization's desktop and laptop computing environment, • This includes installing, diagnosing, repairing, maintaining, and upgrading all hardware and equipment (including but not limited to PC, terminals, printers and scanners) to ensure efficient workstation performance, • The person will also solve problem areas (in person) in a timely and accurate fashion and provide end-user assistance where required, • Monitoring queues for incidents or requests that require resolution, • Escalate to L3 team /Vendors in case assistance is required to resolve any issue, • Isolate system issues; diagnose standard software issues & report hardware issues to respective Vendors, • Prioritizing work based on the impact and urgency of the ticket, • Maintain compliance to Client policies and guidelines like desktop/laptop naming conventions, laptop building/rebuilding checklist, surrender, disposal (Kill Disks/Degauss), • For open tickets requiring spares and accessories and work closely with asset management team in coordinating them, • Incident lifecycle management not limited to documenting work notes, attaching relevant knowledge and detailing incident resolution, • Fulfilment of Service Requests where necessary, • Track and report status of IMAC requests, • Verify completion of IMACs, • Enable end user / equipment Installs, Moves, and changes (IMAC) Requests, • Install new or enhanced functions or features: hardware, software, peripherals and configurations (e.g., peripheral upgrades, system reconfigurations, special requisition installations), • User Data Transfer on need basis, • Hardware support to desktops, laptops (Windows/Mac.), Thin clients (Windows and Linux), Printers, Scanners, • Hardware imaging, deployment, and repair management services, • When de-installing equipment, de-tag equipment, erase and dispose of data and information residing on hard drives, strip for disposal, update in the asset tracking system that the equipment has been de-installed and disposed of, and prepare the equipment to the vital 3rd party for collection and disposal, • Steady State Asset Refresh (Does not include project activity of bulk device replacement), • Assist asset management team in sharing the IMACs for new installations, movement on floors and carrying out physical verification activities, • Replacement of consumables for network printers and reporting issues to the appropriate vendor, • VIP Support (white glove service), • Inventory management and labelling of devices within Client office environment, • Handling shipping and receiving requests for movement of end devices within Client office Requirements • Proven work experience as a Desktop Support Engineer, Technical Support Engineer or similar role, • Hands-on experience with Windows/Linux/Mac OS environments, • Working knowledge of office automation products and computer peripherals, like printers and scanners, • Knowledge of network security practices and anti-virus programs, • Ability to perform remote troubleshooting and provide clear instructions, • Excellent problem-solving and multitasking skills, • Customer-oriented attitude, • No minimum qualification as long as you have experience

Job DescriptionDescription: NYC Healthcare Management Organization Now Hiring IT Desktop Engineer. 5 to 10 Year extensive experience as a Desktop Systems Engineer. Location: Midtown NYC. (On-site) Salary Range: $90,000.00 To 125,000.00 + Benefits Unrestricted Work Authorization Required JOB SUMMARY: The Desktop Engineer is a critical role that focuses on ensuring the smooth deployment, management, and support of desktop systems for the entire organization. You will utilize your expertise with Intune, SCCM and other tools for application packaging, deployments, imaging, and inventory control to enhance desktop environments. You will play a key role in supporting projects such as Unified Endpoint Management to transform the way desktop images are created, managed, and deployed across the organization. You will utilize your expertise in scripting and automating processes to aid our effort in achieving zero-touch image deployments and maintenance of desktop systems. Please note this role is based out of our Queens Health Center. DUTIES AND RESPONSIBILITIES: Collaborate with clients to understand their IT needs and challenges, providing expert advice and support for desktop environment management, troubleshooting, and optimization. Design, create, and manage application packages for deployment using ManageEngine, SCCM, Microsoft Intune, and other tools ensuring proper configuration and distribution across client environments. Develop, manage, and maintain desktop images for various operating systems and configurations. Efficiently deploy these images to both new and existing systems, adhering to client requirements, security, and best practices. Develop and maintain scripts and automation workflows to streamline and automate various aspects of desktop image creation, deployment, and management, with a focus on achieving zero-touch deployments. Assist in maintaining software and hardware inventory tracking systems, regularly updating databases to ensure accurate and current information. Oversee patch management processes, including the automated deployment and verification of updates. Generate detailed reports on patch status, compliance, and any encountered issues. Create and maintain thorough documentation for processes, configurations, and deployments, ensuring all procedures are clearly documented and accessible for future reference. Diagnose and resolve complex issues related to desktop environments, including hardware, software, and network problems. Contributes to team effort. Performs other duties as assigned. Requirements: EDUCATION AND EXPERIENCE: Bachelor’s degree in Engineering, Computer Science, Information Systems, a related area, or equivalent work experience. 5-10 years of extensive experience as a Desktop Systems Engineer or in a similar role, with a proven track record of supporting desktop infrastructure projects and initiatives 5-10 years of experience using SCCM for imaging and deployments 3+ years of experience using Intune for imaging and deployments Experience using Manage Engine Endpoint Central, Script Logic and or Desktop Authority is a plus Microsoft Endpoint Administrator certification is desired. Microsoft Modern Desktop Administrator certification is desired. ITIL V4 certification is desired. KNOWLEDGE, SKILLS, AND ABILITIES: Demonstrated experience in a desktop engineering role, with a strong background in managing and deploying desktop environments using Intune and SCCM. Proficiency in Microsoft Intune and SCCM for application management and deployment. Advanced proficiency in PowerShell scripting, Windows Management Instrumentation (WMI) Microsoft Deployment Toolkit (MDT), Active Directory, and Group Policies with demonstrated experience in developing automation solutions for desktop environments. Strong problem-solving skills, excellent communication abilities, and the capacity to work independently as well as collaboratively within a team. Strong understanding of desktop imaging technologies, deployment methodologies, and best practices, with hands-on experience in image creation, customization, and deployment processes. Ability to analyze complex technical issues, troubleshoot problems, and implement effective solutions in a timely manner. Strong communication and interpersonal skills, with the ability to collaborate effectively with team members, stakeholders, and vendors to achieve common goals and objectives. Attention to detail, ability to meet deadlines and prioritize deliverables for competing high-priority projects, and excellent time management skills. PHYSICAL DEMANDS: Occasional travel to Health Centers and other locations as needed. BENEFITS AND COMPENSATION: Medical, Dental, Vision, Pharmacy, and Mental health benefits at no cost to all benefits-eligible employees and their eligible dependents Paid Time Off (Vacation, Personal, Sick days, and 12 paid Holidays) 401(k) Plan with employer contribution Life Insurance Tuition Reimbursement Short Term and Long-Term Disability Benefits Legal Services Wellness Benefits

Job DescriptionSalary: $50,000 - $60,000 Title: Onsite Support & Hardware Engineer Location: Brooklyn, NY Department: Projects Job Type: Full-Time Ready to Escape the IT Grind? Come Build Something Greater with My IT Crew. AtMy IT Crew, we believe every team member deserves a voice. Since 2016, weve been a leader in the Managed Service Provider (MSP) space by doing things differentlyempowering our people, embracing innovation, and delivering exceptional service. We are looking for anOnsite Support & Hardware Engineerto join our Brooklyn team.This role is designed with a structured transition: You will begin your journey with a dedicated23 months immersion in Hardware & Inventory. During this initial phase, you will work internally to diagnose repairs, organize the stockroom, and master the equipment that powers our clients' businesses (from desktops and laptops to kiosks). Once this foundational period is complete,you will transition to your primary role as an Onsite Support Engineer.You will then serve as the trusted face of My IT Crew, traveling to client sites to build relationships and solve technical problems, utilizing the deep hardware expertise you gained during your initial training. This position is ideal for someone who wants to know the "nuts and bolts" of the hardware before becoming the hero who keeps our clients up and running onsite. What Youll Do Phase 1: Hardware Engineering & Inventory (Office-Based / First 23 Months) • Diagnose and repair a variety of hardware systems including desktops, laptops, kiosks, and networking equipment., • Manage the full lifecycle of hardware assets: receiving, labeling, storing, shipping, and tracking., • Coordinate with vendors for warranty claims, RMA processing, and hardware replacements., • Maintain accurate inventory logs and service records in ConnectWise and asset systems., • Ensure the workspace and equipment areas remain clean, organized, and secure., • Deploy to client locations to resolve critical system downtime, hardware failures, or network outages that cannot be fixed remotely., • Perform onsite installations, upgrades, and physical maintenance of IT systems., • Serve as the face of My IT Crew during site visits, collaborating with client staff to reassure them and resolve issues efficiently., • Act as a liaison between the client and the internal service desk during complex onsite troubleshooting. What You Bring Experience & Education • 3+ years of Windows-based IT support, systems administration, or hardware repair experience., • Associates or Bachelors degree in Computer Engineering/IT (Preferred) or equivalent experience., • Proven experience with hands-on hardware troubleshooting (component replacement, diagnostics)., • Strong understanding of PC components, operating systems (Windows/Linux), and networking basics (TCP/IP, switching)., • Familiarity with ticketing systems (ConnectWise preferred), documentation practices, and asset tracking., • Adaptability: Ability to switch gears between detailed bench work and high-pressure onsite client service., • Communication: Excellent interpersonal skills to work effectively with clients during outages., • Organization: Detail-oriented mindset for tracking inventory, RMAs, and documentation., • Problem Solving: A proactive mindset with strong critical thinking skills. Why Youll Love It Here • Useful, living documentation at your fingertips., • A team that listensand learns from each other., • Weekly collaborative trainings, not boring lectures., • New tools, new tech, and no gatekeeping., • A company that rewards initiative and values growthboth personal and professional. Sound like you? Lets talk. My IT Crew isnt just a place to workits a place to grow, contribute, and thrive. Come be part of a team thats redefining what IT support can be.

Job Description On-Call IT Field Technician – PC, Mac, POS and TV Mounting • Location: Multiple U.S. Cities (Local, Onsite Support), • Job Type: Independent Contractor (1099), • Pay: $35 per hour (on-site), • Schedule: Flexible – You accept jobs based on your availability Important Note This is an on-call, 1099 independent contractor role with full flexibility and no guaranteed hours. You set your availability and driving radius, and we send jobs that match your proximity and skills. About the Role Geeks On Site provides nationwide computer repair and technology support services for homes and businesses, delivered both remotely and on-site. Our services include computer repair, IT support, smart home installation, and a broad range of in-home and business technology services offering fast, reliable solutions across a wide range of devices and systems. Geeks On Site is hiring experienced Field IT Technicians to support residential and small business customers. The primary focus is computer troubleshooting, networking support, printer configuration, and general on site IT service. Technicians may also receive POS or outdoor TV mounting jobs based on experience. Responsibilities • Troubleshoot and repair Windows and macOS issues, • Resolve WiFi, router, and wired network problems, • Install and configure printers and scanners, • Replace or upgrade hardware components, • Reinstall operating systems using bootable tools, • Document work and communicate clearly with customers, • Install and support POS systems and run Cat5e or Cat6 cabling, • Two or more years of experience in IT support or field service, • Strong networking and diagnostic skills, • Reliable transportation and valid driver’s license, • Ability to work independently and provide professional customer service, • Ability to lift up to 50 lbs, • IT and POS work: $35 per hour for time on site, • Outdoor TV mounting: starts at $100 per mounted device, varies if a helper is required, • Flexible scheduling — accept only the jobs that match your route and availability, • National brand recognition and continuous job offers, • Dispatch and tech support team available to assist remotely What to Expect After You Apply • Intro Call – A recruiter will contact you for a quick chat, • Onboarding – Complete paperwork and tax forms electronically, • Background Check – Mandatory before activation, • Set Your Availability – You enter your availability in our tech portal, • Start Receiving Jobs – You’ll be dispatched jobs based on proximity & skills

Job Description On-Call IT Field Technician – PC, Mac, POS and TV Mounting • Location: Multiple U.S. Cities (Local, Onsite Support), • Job Type: Independent Contractor (1099), • Pay: $35 hour (on-site), • Schedule: Flexible – You accept jobs based on your availability Important Note This is an on-call, 1099 independent contractor role with full flexibility and no guaranteed hours. You set your availability and driving radius, and we send jobs that match your proximity and skills. About the Role Geeks On Site provides nationwide computer repair and technology support services for homes and businesses, delivered both remotely and on-site. Our services include computer repair, IT support, smart home installation, and a broad range of in-home and business technology services offering fast, reliable solutions across a wide range of devices and systems. Geeks On Site is hiring experienced Field IT Technicians to support residential and small business customers. The primary focus is computer troubleshooting, networking support, printer configuration, and general on site IT service. Technicians may also receive POS or outdoor TV mounting jobs based on experience. Responsibilities • Troubleshoot and repair Windows and macOS issues, • Resolve WiFi, router, and wired network problems, • Install and configure printers and scanners, • Replace or upgrade hardware components, • Reinstall operating systems using bootable tools, • Document work and communicate clearly with customers, • Install and support POS systems and run Cat5e or Cat6 cabling, • Two or more years of experience in IT support or field service, • Strong networking and diagnostic skills, • Reliable transportation and valid driver’s license, • Ability to work independently and provide professional customer service, • Ability to lift up to 50 lbs, • IT and POS work: $35 per hour for time on site, • Outdoor TV mounting: starts at $100 per mounted device, varies if a helper is required, • Flexible scheduling — accept only the jobs that match your route and availability, • National brand recognition and continuous job offers, • Dispatch and tech support team available to assist remotely What to Expect After You Apply • Intro Call – A recruiter will contact you for a quick chat, • Onboarding – Complete paperwork and tax forms electronically, • Background Check – Mandatory before activation, • Set Your Availability – You enter your availability in our tech portal, • Start Receiving Jobs – You’ll be dispatched jobs based on proximity & skills

Job Description Desktop Engineer Location: New York, NY 10004 Salary Range: $85,000 - $100,000 THE OPPORTUNITY Group One Trading is looking to hire a full-time Desktop Engineer who is passionate about all aspects of user support, including monitoring, actively engaging end-users, troubleshooting, and providing a high level of customer service. In this hands-on, front-line support role on our Systems Team, we desire a candidate with strong problem-solving, customer-service, critical thinking, and communication skills who can collaborate across functional groups. WHO WE ARE We are committed to creating a diverse environment and are proud to be an equal opportunity employer. At Group One, we value transparency and collaboration coming from unique perspectives and backgrounds. We hire bright, analytical, and competitive people and train them to be the best in the industry. We strive to create a workplace in which all employees have an opportunity to participate and contribute to the success of the business. A healthy work-life balance is essential to sustaining our work culture and our overall success. We rely on our employees to spur creativity, enhance problem-solving, and help us thrive in the high-pressure trading industry. WHAT WE DO Group One Trading was founded in San Francisco in 1989, and we've become one of the largest privately held options trading firms in the United States, with brilliant people on our team in New York, Chicago, Philadelphia, and San Francisco. We continue to expand our presence on exchanges as the options trading space evolves and grows. Armed with expertise developed through a rigorous training program, our traders provide competitive liquidity across a broad range of securities. We manage portfolios of thousands of securities and electronically stream two-sided quotes across multiple exchanges. Group One is wholly owned by its founders and employees, and all our trading is proprietary, placing both the rewards for our success and managerial oversight directly in our team's hands. THE SKILLSET A broad, multi-platform skill set is what we look for, but there will be plenty of learning opportunities no matter how many of these skills you bring in with you. We also encourage applicants with various levels of technical backgrounds to apply. Our ideal Desktop Engineer possesses the following: • Minimum of 2 years of experience working in a technical role, • Proficient in providing support, troubleshooting, and configuring system hardware, • Expertise in troubleshooting Windows Desktop and Server Operating Systems, including Windows 10, 11, Windows Server 2016, 2019, and 2022, • Knowledgeable in Microsoft Active Directory/AAD/Entra, Azure, DHCP, DNS, Exchange Online, and deployment of Windows Updates, • Familiarity with Microsoft SQL Server & SQL Database Management, • Experience working with a VMware vSphere environment, • Demonstrated proactive problem-solving and critical thinking skills, • Understanding of fundamental networking concepts, including TCP/IP, FTP, and routing, • Ability to lift up to 30 lbs. and crouch beneath desks for equipment installation WHAT TO EXPECT AS A DESKTOP ENGINEER Within 1 month, you complete your initial orientation as well as become familiar with our environment, our infrastructure, and our business. You begin a comprehensive, cross-functional training plan to learn more about every aspect of our firm. Within 3 months, you will be proficient in system monitoring, proactively identifying potential issues in the proprietary trading system and responding effectively to incidents. You will begin to gain confidence in performing software maintenance tasks, troubleshooting basic networking issues, and providing user computer setup support. Additionally, your collaborative skills and proactive problem-solving approach will be evident as you actively engage with teams, contribute to documentation efforts, and propose improvements to enhance system stability and performance. Within 6 months, you will have gained proficiency in troubleshooting complex issues and can provide timely and effective support to all users. Additionally, you will begin to take on a leadership role in collaborative efforts, contributing significantly to proposing system enhancements, and fostering a culture of continuous improvement within the team. This is a hybrid role that requires a significant in-office presence to work directly with our technology team & trading staff, in-person. THE BENEFITS Our Desktop Engineer earns a competitive salary, including a performance-based bonus. We provide fantastic benefits, including 401(k) and Roth 401(k) retirement plans with employer matching, medical, dental, vision, generous vacation time, paid holidays, parental leave, and flexible spending accounts (FSA) for health care, dependent daycare, and parking or mass transit expenses. If this sounds like the right opportunity for you, apply today! Please fill out our initial 3-minute, mobile-friendly application for the Desktop Engineer role. We look forward to meeting you! Job Posted by ApplicantPro

Job Description Key Responsibilities: Inventory Management: • Maintain an accurate and up-to-date inventory of IT assets, including hardware, software, printers/scanners, peripherals and mobile phones., • Track the movement, transfer, and disposition of IT assets., • Perform regular physical audits of IT inventory to ensure consistency with the inventory management system., • Work closely with the IT team and procurement department to support the purchasing of new hardware, software, and other IT assets., • Assist with requisitioning, receiving, and verifying the condition of IT items upon delivery., • Ensure that all IT equipment is properly tagged and entered into the asset management system upon receipt., • Mobile phone provisioning., • Coordinate the return, repair, or disposal of obsolete or non-functional IT equipment., • Ensure the timely and secure disposal of IT assets, including data destruction procedures., • Track software licensing and ensure compliance with licensing agreements., • Maintain software inventory and license records for audits and reporting purposes., • Prepare inventory reports for management, including status, utilization, and upcoming needs., • Generate asset management reports for internal audits and compliance purposes., • Collaborate with IT staff and departments heads (where appropriate) to understand upcoming technological needs and assist in planning for new purchases., • Provide support to the IT department by tracking and managing IT resources during technology projects or upgrades., • 2-3 years of experience in inventory control, IT asset management, or a related field., • Strong attention to detail and organizational skills., • Knowledge of IT hardware, software, and systems., • Familiarity with software licensing and compliance., • Proficient in Microsoft Office Suite (Excel, Word, etc.) and inventory management tools., • Strong communication and interpersonal skills., • Ability to work independently and manage multiple tasks effectively., • Certification in IT Asset Management (e.g., Certified IT Asset Manager – CIAM)., • Familiarity with ITIL (Information Technology Infrastructure Library) framework., • Office environment with occasional lifting of equipment up to 10 lbs., • Occasional travel to different locations across all 5 boroughs or vendor sites may be required. Technology Statement: Applicants may be responsible for providing the equipment and tools they need to work remotely as required, such as access to a computer, internet service, and phone service. Safe Horizon will discuss potential solutions with candidates and may assist where needed and agreed to in advance. Please follow this link to view complete EEO Law and complaint filing information: Know Your Rights: Workplace discrimination is illegal. Hiring Range: $34.06 - $37.36 Hourly Full-time Hours: 35 Hours per week Full-time Benefits: Vacation Time, Paid Sick Time, Holidays, Medical, Dental, Vision, 403(b) Retirement Plan, Company Life Insurance, Medical/Dependent Care Flexible Spending Accounts, Tuition Assistance Program, Commuter Benefits Program, Gym Reimbursement, Parental Leave, Employee Learning Center

Job Description Harlem Children’s Zone (HCZ) — a world-renowned education and poverty-fighting organization based in New York — seeks an enthusiastic, dedicated, and mission aligned IT Support Specialist with our Information Technology Department. The IT Support Specialist will bring a passion for the mission of Harlem Children’s Zone: break the cycle of intergenerational poverty with comprehensive, on-the-ground programming that builds up opportunities for children and families to thrive in school, work, and life. We are seeking a highly motivated and experienced IT Support Specialist to join our team. The ideal candidate will have a passion for technology and possess strong PC and Mac troubleshooting skills. The IT Support Technician will be responsible for creating documentation, tracking inventory, providing technical support to end-users, installing, maintaining, and troubleshooting computer hardware and software, and ensuring the seamless interconnectivity of all desktop computers and systems. Occasional weekend and evening support, event A/V support, and direct IT assistance to faculty, staff, students, and families may be required. For more information, check out Want to Work at Harlem Children’s Zone? Here’s 7 Things You Need to Know. Requirements • Proficiency in troubleshooting and supporting PC and Mac systems., • Excellent customer service, communication, and interpersonal skills., • Knowledge of IT concepts, practices, and procedures, including Windows, MacOS, iOS, and Android, • Understanding of basic Internet applications and TCP/IP networking., • Ability to think critically and act strategically under pressure., • Provide prompt and effective first-level IT support through various channels (phone, tickets, email, in-person); escalate complex issues as needed., • Document, analyze, and address recurring IT issues, developing proactive solutions and knowledge resources., • Perform installation, maintenance, and troubleshooting of computer hardware and software., • Configure and manage Apple and Windows devices, including mobile device management using JAMF (Apple) and Auto-pilot/Intune (Windows)., • Support and manage audio-visual systems and telecommunications (VoIP)., • Participate in IT projects under the guidance of the Assistant Director of Information Technology Support Services., • Collaborate with different IT teams for issue resolution, ensuring adherence to ITIL principles., • Proactively monitor IT security, respond to support queries, and manage IT inventory and data., • Offer flexible A/V and IT support for events, including early mornings, weekends, and evenings, ensuring high-quality audio-visual setup, testing, and troubleshooting for seamless event experiences. As a member of the Harlem Children's Zone team, you will join a supportive and inclusive community dedicated to helping children, families — and our staff — thrive. We offer highly competitive salaries, a comprehensive benefits package, and opportunities for growth. Our exceptional full-time benefits include: • Highly competitive base salaries, • Paid time off, • Employee referral bonus, • Career advancement, • No-cost health insurance, • Life Insurance, • Short-and long-term disability, • Additional voluntary benefits, • Wellness discounts, • Commuter benefits, • Financial wellness perks

Summary: Performs inspection, maintenance, and/or restoration of utility infrastructure. Performs inspection of energized underground electrical service box and manhole structures. Responsible for the direct supervision of field crews while planning, organizing, and coordinating daily field operations for various job types. Must be at least 21 years of age. Looking for candidates near San Antonio, TX Responsibilities: Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions described below: • Perform work according to standard work practices, procedures, and customer specifications, including but not limited to visually inspecting structures, performing minor repair or maintenance work, applying coatings, and restoring the job site to its original condition., • Maintain good customer and public relations by maintaining a professional appearance, being courteous, and communicating in a clear, respectful manner, • Maintain a positive company image, including the appearance of the crew, vehicles, and work areas., • Hire, train, motivate and supervise a crew of at least two employees of diverse backgrounds and skill levels., • Effectively manage daily work and crew to meet safety, quality, production, expense control, and crew management goals., • Organize resources and prioritize work to complete job within established timeframe., • Operate vehicles to transport material, equipment, and crew to and from job site., • Collect, record, and submit accurate, complete and timely data related to timekeeping, payroll, and work performed., • Promote and enforce safety by conducting daily briefings, weekly safety meetings, ensuring safe work practices are followed, monitoring and maintaining tool condition, and ensuring all drivers of company vehicles are qualified through company programs., • Properly maintain all vehicles, equipment, and tools used by the crew., • Maintain adequate inventory of equipment, tools, materials, and supplies., • Enforce and comply with all company and/or customer-required policies and procedures, including but not limited to crew member coaching, disciplinary action, a Drug and Alcohol-Free Workplace, prohibition of harassment, discrimination, and retaliation. Competencies: • Integrity and Respect: Conducts work with honesty, integrity, and humility to build trust and gain respect; can be trusted to "do the right thing"; treats others with respect; accepts and values differences; takes responsibility, admits mistakes, and seeks assistance when needed., • Action-Oriented: Enjoys physically challenging and demanding outdoor work; self- starter, motivated, and independent worker; able to balance competing priorities while achieving results., • Directing Others: Establishes and clearly communicates expectations and work direction; challenges others to go beyond minimum expectations; distributes the workload appropriately and provides needed resources; maintains open communications and provides coaching and feedback on performance., • Hiring and Staffing: Hires the best available people-does not "settle"; predicts future staffing needs and prepares in advance; always on the look-out for potential candidates and enthusiastically and accurately "markets" job opportunities; encourages, develops, and advances current staff; leads and coaches others to be successful and productive by clearly communicating expectations Drive for Results: Consistent performer; seeks-and encourages others-to exceed expectations and goals; able to meet production expectations, milestones, and goals, while being mindful of safety quality, and compliance. Education and/or Experience: High school diploma or general education degree (GED); possess some specialized training or at least three (3) months of related work experience. Training: Must successfully complete all aspects of a multi-week paid Foreman Training Program, covering inspection processes, administration, crew management, paint application, safety, and driver qualification. The length of training is dependent on the profit center and/or type of service. • Qualified Non-Electrical Worker Underground Hazard Awareness, • First Aid/CPR/AED - Every 2 years Certificates, Licenses, and/or Registrations: Must possess a valid state driver's license with no DUI/DWI convictions within the previous five (5) years. Ability to maintain First Aid and CPR certifications (e.g., American Heart Associate, Red Cross). May be required to obtain (or work under) a state pesticide applicator license. May be required to obtain and pass a DOT medical exam and/or background check. Technical Skills: Must be comfortable working within MAD (Minimum Approach Distance) of energized electrical systems of varying voltages. Ability to effectively communicate using e-mail, read and follow maps, understand and follow complex procedures and specifications, and utilize a handheld data collection device (e.g., tablet or handheld computer). Must have strong computer skills and the technical aptitude to learn Osmose software applications. Must have the ability to add, subtract, multiply, and divide in all units of measure, using whole numbers, common fractions, and decimals. Ability to compute rate, ratio, and percentage and to draw and interpret bar graphs. Ability to effectively present information in one-on-one and small group situations to customers and other employees of the organization. Physical Demands: While performing the duties of this job, the employee is regularly required to stand and walk. They must have full range of mobility in upper and lower body. The employee is frequently required to sit; reach with hands and arms; climb or balance; stoop, kneel, crouch, or crawl; talk; hear. The employee must regularly lift and/or move up to 50 pounds. Work Environment: While performing the duties of this job, the employee may routinely handle and/or apply painting coatings. The position regularly works in outdoor conditions that include inclement weather, heat and humidity, cold and freezing temperatures, and exposure to poisonous plants, insects, and allergens. The employee may also be exposed to energized electrical equipment and will be required to take appropriate precautions and wear required FR clothing and PPE. The noise level in the work environment is usually moderate with short periods of loud noise exceeding 85 decibels. Travel: Varies by customer and/or location and can include frequent Monday through Friday overnight travel or extended travel for multiple weeks throughout one or more states. Extended work weeks and overtime hours are probable during peak work periods or for specific jobs. Must maintain consistent attendance record and be available for work Monday through Saturday. Osmose is an Equal Opportunity employer. EOE M/F/Disabled/Vet

Hiring Manager: Jose Gutierrez HR Rep: Patricia Oltar SUMMARY The Utility position is an hourly position, and reports to the Production Shift Supervisor. The employee is responsible for ensuring that the end process of producing quality shingles continues even during process upsets. The Utility ensures that only quality product makes it from the production line. Principal Duties and Responsibilities: • SAFETY, • Follow and enforce all safety rules and procedures, training, and initiatives, • Maintain good housekeeping in all work areas, • Participate on safety teams, • QUALITY, • Perform laminator quality checks, • Ensure bundles are properly stacked when exiting autocatchers, • Evaluate layout board, • Monitor and report unusual or suspect material issues, • Remove off-specification shingles from line, • Ensure that no granule build-up is falling onto bundles, • Remove splices, • Monitor levels and application of laminate and seal, • PRODUCTION, • Be familiar with the laminator, autocatchers, palletizer, and line drive jobs and procedures, • Manually stack-off product during equipment failure, • Clear machine jams, • Prepare shingle bundles for wrapper, • Wrap or Rewrap finished product as necessary, • Visibly check measurements of shingles, • Assist in lace-up procedures, • Handle, stack, weigh, mark, and store product seconds in proper location, • Perform preventive maintenance (PM) on down days, • Assist team members to keep front end of line running smoothly, • Relieve front end team members for break periods, • Assist the shift mechanic on machine outages, • Visibly verify completion and submission of operator paperwork, • Participate in process teams SKILLS AND ABILITIES • Must be able to read, write, and speak English, • Must be able to work at a reasonably fast pace, • Must be able to work flexible shift schedules, • Regular attendance, timeliness, and scheduling flexibility are required, • Must have the ability to do basic mathematical calculations, • Must be able to work with a computer to perform basic data entry, • Must be able to operate a forklift COMPUTER AND SOFTWARE COMPENTENCIES • Must be able to operate a computer or other keyboard instrument EDUCATION AND/OR EXPERIENCE • Minimum high school diploma or equivalent ESSENTIAL PHYSICAL REQUIREMENTS/WORK ENVIRONMENT • Exposure to temperature extremes, • Exposure to sounds or noise levels that may be uncomfortable, • Exposure to dust, dirt, fiberglass particles, and fumes, • Prolonged sitting or standing for 8 - 16 hour shifts, • Mandatory overtime as required, • Repetitive movements, • Frequent climbing, bending, twisting, and lifting, • Handle, control, and feed product, • Ability to frequently move 40-100 pounds This job description in no way states or implies that these are the only duties to be performed by the employee(s) incumbent in this position. Employee(s) will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. A review of this position has excluded the marginal functions of the position that are incidental to the performance of fundamental job duties. All duties and responsibilities are essential job functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the incumbents(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, and abilities. This document does not create an employment contract, implied or otherwise, other than an "at will" relationship. About Owens Corning Owens Corning is a residential and commercial building products leader committed to building a sustainable future through material innovation. Our products provide durable, sustainable, energy-efficient solutions that leverage our unique capabilities and market-leading positions to help our customers win and grow. We are global in scope, human in scale with more than 25,000 employees in 31 countries dedicated to generating value for our customers and shareholders and making a difference in the communities where we work and live. Founded in 1938 and based in Toledo, Ohio, USA, Owens Corning posted 2024 sales of $11.0 billion. For more information, visit . Owens Corning is an equal opportunity employer. Except in limited circumstances such as formal apprenticeship programs, Owens Corning does not employ anyone under the age of 18.

At Crocs, Inc., every career offers a chance to make a real impact. No two journeys look the same. And that's exactly how we like it. Whether you're welcoming customers into our stores, collaborating with global teams at our headquarters, or keeping operations moving at our distribution centers, your impact is real and valued. At Crocs, Inc. you're not expected to fit a mold. You're encouraged to break it and create something better. As a Sales Associate at HEYDUDE, you're at the heart of crafting unforgettable experiences for our consumers. Whether you're sharing the story behind our latest product drop, hyping up in-store promotions, or helping the team crush goals, you'll be part of a crew that's passionate and driven. This role is a launchpad to learn, connect, and thrive alongside some of the best teammates in the industry. • Deliver outstanding consumer experiences by applying our V.I.B.E.S service model, • Actively champion a positive team culture by sharing ideas, feedback, and concerns, while consistently demonstrating the core values of Crocs, Inc, • Actively assist in all store departments, including POS system management, customer service, merchandising, product placement, visual presentation, and stockroom operations, to create a seamless shopping experience, • Work closely with Store Management to achieve and exceed personal performance objectives through effective selling strategies, • Serve as a brand ambassador by staying informed about current product collaborations, launches, and brand initiatives, and sharing this knowledge with consumers to elevate their experience and connection with HEYDUDE, • Adhere to all HEYDUDE policies, including Asset Protection procedures, shortage prevention, inventory control, and compliance initiatives, • Must be 16 years or older, • Flexibility in the work schedule, including nights, weekends, holidays and extended hours, with regular attendance and punctuality essential functions of this position, • A team first approach and a desire to succeed in a fast-paced retail environment, • Ability to move merchandise with appropriate equipment to and from backroom and sales floor, • Ability to place and arrange items on all shelves and racks, • Ability to climb and descend ladders while carrying merchandise, • Ability to lift 30 pounds or more with assistance, • Ability to be on your feet for a minimum of 8 hours per shift and to continuously move around all areas of the store, • Ability to stand, walk, kneel, or balance for a duration of time Title: Store Sales Associate Salary or Pay Range: $14.00 - $16.50 Pay is dependent on experience and geographic area. This position is eligible to participate in a company incentive program. The application window is 45 days, but applicants are encouraged to apply as soon as possible after the posting date in order to ensure optimal consideration. The posting will be removed if the job is filled before the application window deadline. Job Category: Retail Nearest Major Market: New York City

Duties: Provides administrative / Productarial support to attending physicians. Answers phones, takes messages, directs and responds to inquiries regarding departmental procedures, services and programs. Under the direction of the attending physician, performs personalized and confidential Productarial and administrative duties. Takes patient calls and fulfills requests for appointments, information, and contact with physicians / other staff within the department. Responds to messages. Schedules patients in MOSAIQ/ARIA (Dept electronic scheduling system) for services within the department consultations, follow ups, simulations, and brachytherapy procedures; and outside the department diagnostic radiology and other procedures. Initiates a pre-authorization process for procedures when necessary. Completes hospital registration of new patients in Eagle; transfers demographic information to MOSAIQ/ARIA and completes department registration in advance of consultation. Prepares new charts for patients to be seen in consultation, ensuring completeness of records required. Ensures that all pertinent records and procedure / study results are available when patients are seen in follow-up by the physician. Obtains demographic and financial information from patients and family in a professional and discreet manner. Establishes and maintains office records, documents and files. Photocopies materials as required; prepares correspondence Provides assistance in covering the responsibilities of other support staff in the department when they are out of the office. Maintains good attendance, arrives to work on time on a consistent basis. Displays a positive attitude. Represents the department in a professional manner. Has the ability to problem solve and to work independently. Demonstrates ability to handle multiple tasks at one time and to prioritize work May be required to perform other duties as assigned or perform other duties when necessary. Education: High School Diploma or equivalent Languages: English( Speak, Read, Write ) Skills: Three to five years of Productarial experience. Demonstrated ability to type 75 w.p.m. Computer literacy in word-processing and presentation software required Strong interpersonal and communications skills and ability to interact with all levels of personnel Minimum Degree Required: Completed High School (Diploma or GED) City: New York Schedule: Start Date: 05/18/2026 End Date: 07/18/2026 Schedule Notes: 8 am to 4 pm '' EPIC EXP REQUIRED Hours Per Week: 37.50 Hours Per Day: 7.50 Days Per Week: 5.00 Skills: • ADMINISTRATIVE SUPPORT, • ProductARIAL SUPPORT, • PHONE HANDLING, • MESSAGE TAKING, • INQUIRY RESPONSE Cloud Department: Dept / Floor: 2B , Cardiology Shift Hours: 8AM - 4PM Contract Type: Local Union Position?: Yes Which BarProducting Unit?: 1199 Tenure limit strictly enforced?: Compliance Analyst: Initial Start Date: On-Call Required?: No Min. Pay Rate: Max. Pay Rate: Worker All Inclusive Bill Rate:

Location: NYC, NY FLSA: Non-Exempt Status: Full-time Reports to: General Manager Pay Range: $19.00 - $21.00 per hour Job Summary: The Guest Service Agent is responsible for ensuring smooth check-in and check-out procedures, maintaining accurate guest records, and providing outstanding guest services. This role supports the hotel's front office operations and handles various guest inquiries, payments, and reservations to ensure a high level of guest satisfaction. Essential Functions and Duties: • Greet, register, and assign rooms to guests upon their arrival., • Verify guest credit and establish payment methods for accommodation., • Keep accurate records of room availability and guest accounts using property management systems., • Compute bills, collect payments, and make change for guests., • Perform basic bookkeeping tasks, such as balancing cash accounts., • Issue room keys and provide necessary instructions to bell attendants., • Review accounts and charges with guests during the check-out process., • Post charges for rooms, food, beverages, and services to ledgers manually or via computer systems., • Transmit and receive guest messages using telephones or switchboards., • Coordinate with housekeeping and maintenance staff to address guest-reported issues., • Make and confirm reservations for guests. Required Experience, Education, and Skills: • Previous experience in a hotel front desk or guest service role preferred., • Strong customer service and communication skills to interact effectively with guests and staff., • Proficiency in using property management systems and basic office software (e.g., Word, Excel)., • Ability to handle cash transactions and perform basic bookkeeping tasks., • Excellent problem-solving abilities to resolve guest issues efficiently., • Strong organizational skills with attention to detail in managing guest reservations and records., • Primarily indoor work within the hotel's front desk and lobby areas., • Requires standing and walking for long periods throughout the shift., • Must be able to lift and carry up to 10 lbs. occasionally (e.g., ledgers, small office supplies)., • Flexible schedule required, including availability for evening, weekend, and holiday shifts. Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the team member for this job. Duties, responsibilities, and activities may change at any time with or without notice. Equal Employment Opportunity: Stonebridge is committed to equal employment opportunities. We do not discriminate based on race, color, religion, sex, pregnancy, national origin, ancestry, age, marital status, sexual orientation, veteran status, physical or mental disability, or medical condition. All aspects of employment, including recruitment, hiring, advancement, compensation, benefits, training, promotion, transfer, discipline, layoff, recall, and termination, will be conducted without discrimination. Reasonable accommodations will be made for disabled team members. Resumes and applications for employment will be evaluated based on qualifications and the ability to meet the position's requirements. All Stonebridge openings are projected to close within 30 days of the original posting date. This position will no longer be available 30 days from: 2026-04-17 Stonebridge offers comprehensive benefits including medical, dental, vision, PTO, 401(k) matching, wellness support, life and disability coverage, savings accounts, tuition aid, and travel and lodging perks.