Model jobs in Boston, Massachusetts - Page 14Crear alertas

PRN Healthcare is seeking a travel Radiology Technician for a travel job in Boston, Massachusetts. Job Description & Requirements • Specialty: Radiology Technician, • Discipline: Allied Health Professional, • Start Date: 01/18/2026, • Duration: 13 weeks, • 36 hours per week, • Shift: 12 hours, days Over the years Nurses PRN grew and evolved as a nationwide healthcare staffing company, and therefore wanted to be more inclusive to all valued healthcare professionals: nurses, allied health, locum tenens, CNAs, and more. This lead to the introduction of PRN Healthcare, which is inclusive of Nurses PRN and all of our other healthcare divisions. Our mission to create authentic, meaningful relationships with our healthcare professionals helps us set them up for success in their dream assignment, whether that be a travel contract, local contract, or per diem shift. This is all driven by the simple idea that better care for our healthcare workers, leads to better patient care – and this is all supported by a dedicated internal staff. Our company culture is strongly backed by faith-based values and activities, to remind us that our success provides us the opportunity to serve and give back to our communities. This is the spirit of caregiving. This is PRN Healthcare. Benefits • Weekly pay, • Guaranteed Hours, • Continuing Education, • 401k retirement plan, • Referral bonus, • Employee assistance programs, • Company provided housing options, • Medical benefits, • Dental benefits, • Vision benefits, • Life insurance

PRN Healthcare is seeking a travel nurse RN ED - Emergency Department for a travel nursing job in Boston, Massachusetts. Job Description & Requirements • Specialty: ED - Emergency Department, • Discipline: RN, • Start Date: 02/08/2026, • Duration: 13 weeks, • 36 hours per week, • Shift: 12 hours, nights Over the years Nurses PRN grew and evolved as a nationwide healthcare staffing company, and therefore wanted to be more inclusive to all valued healthcare professionals: nurses, allied health, locum tenens, CNAs, and more. This lead to the introduction of PRN Healthcare, which is inclusive of Nurses PRN and all of our other healthcare divisions. Our mission to create authentic, meaningful relationships with our healthcare professionals helps us set them up for success in their dream assignment, whether that be a travel contract, local contract, or per diem shift. This is all driven by the simple idea that better care for our healthcare workers, leads to better patient care – and this is all supported by a dedicated internal staff. Our company culture is strongly backed by faith-based values and activities, to remind us that our success provides us the opportunity to serve and give back to our communities. This is the spirit of caregiving. This is PRN Healthcare. Benefits • Weekly pay, • Guaranteed Hours, • Continuing Education, • 401k retirement plan, • Referral bonus, • Employee assistance programs, • Company provided housing options, • Medical benefits, • Dental benefits, • Vision benefits, • Life insurance

PRN Healthcare is seeking a travel CT Technologist for a travel job in Boston, Massachusetts. Job Description & Requirements • Specialty: CT Technologist, • Discipline: Allied Health Professional, • Start Date: 01/11/2026, • Duration: 13 weeks, • 36 hours per week, • Shift: 12 hours, days Over the years Nurses PRN grew and evolved as a nationwide healthcare staffing company, and therefore wanted to be more inclusive to all valued healthcare professionals: nurses, allied health, locum tenens, CNAs, and more. This lead to the introduction of PRN Healthcare, which is inclusive of Nurses PRN and all of our other healthcare divisions. Our mission to create authentic, meaningful relationships with our healthcare professionals helps us set them up for success in their dream assignment, whether that be a travel contract, local contract, or per diem shift. This is all driven by the simple idea that better care for our healthcare workers, leads to better patient care – and this is all supported by a dedicated internal staff. Our company culture is strongly backed by faith-based values and activities, to remind us that our success provides us the opportunity to serve and give back to our communities. This is the spirit of caregiving. This is PRN Healthcare. Benefits • Weekly pay, • Guaranteed Hours, • Continuing Education, • 401k retirement plan, • Referral bonus, • Employee assistance programs, • Company provided housing options, • Medical benefits, • Dental benefits, • Vision benefits, • Life insurance

PRN Healthcare is seeking a travel Radiology Technician for a travel job in Boston, Massachusetts. Job Description & Requirements • Specialty: Radiology Technician, • Discipline: Allied Health Professional, • Start Date: 12/29/2025, • Duration: 13 weeks, • 36 hours per week, • Shift: 12 hours, nights Over the years Nurses PRN grew and evolved as a nationwide healthcare staffing company, and therefore wanted to be more inclusive to all valued healthcare professionals: nurses, allied health, locum tenens, CNAs, and more. This lead to the introduction of PRN Healthcare, which is inclusive of Nurses PRN and all of our other healthcare divisions. Our mission to create authentic, meaningful relationships with our healthcare professionals helps us set them up for success in their dream assignment, whether that be a travel contract, local contract, or per diem shift. This is all driven by the simple idea that better care for our healthcare workers, leads to better patient care – and this is all supported by a dedicated internal staff. Our company culture is strongly backed by faith-based values and activities, to remind us that our success provides us the opportunity to serve and give back to our communities. This is the spirit of caregiving. This is PRN Healthcare. Benefits • Weekly pay, • Guaranteed Hours, • Continuing Education, • 401k retirement plan, • Referral bonus, • Employee assistance programs, • Company provided housing options, • Medical benefits, • Dental benefits, • Vision benefits, • Life insurance

PRN Healthcare is seeking a travel Respiratory Therapist for a travel job in Boston, Massachusetts. Job Description & Requirements • Specialty: Respiratory Therapist, • Discipline: Allied Health Professional, • Start Date: 01/12/2026, • Duration: 13 weeks, • 36 hours per week, • Shift: 12 hours, days Over the years Nurses PRN grew and evolved as a nationwide healthcare staffing company, and therefore wanted to be more inclusive to all valued healthcare professionals: nurses, allied health, locum tenens, CNAs, and more. This lead to the introduction of PRN Healthcare, which is inclusive of Nurses PRN and all of our other healthcare divisions. Our mission to create authentic, meaningful relationships with our healthcare professionals helps us set them up for success in their dream assignment, whether that be a travel contract, local contract, or per diem shift. This is all driven by the simple idea that better care for our healthcare workers, leads to better patient care – and this is all supported by a dedicated internal staff. Our company culture is strongly backed by faith-based values and activities, to remind us that our success provides us the opportunity to serve and give back to our communities. This is the spirit of caregiving. This is PRN Healthcare. Benefits • Weekly pay, • Guaranteed Hours, • Continuing Education, • 401k retirement plan, • Referral bonus, • Employee assistance programs, • Company provided housing options, • Medical benefits, • Dental benefits, • Vision benefits, • Life insurance

PRN Healthcare is seeking a travel Respiratory Therapist for a travel job in Boston, Massachusetts. Job Description & Requirements • Specialty: Respiratory Therapist, • Discipline: Allied Health Professional, • Start Date: 01/25/2026, • Duration: 13 weeks, • 36 hours per week, • Shift: 12 hours, nights Over the years Nurses PRN grew and evolved as a nationwide healthcare staffing company, and therefore wanted to be more inclusive to all valued healthcare professionals: nurses, allied health, locum tenens, CNAs, and more. This lead to the introduction of PRN Healthcare, which is inclusive of Nurses PRN and all of our other healthcare divisions. Our mission to create authentic, meaningful relationships with our healthcare professionals helps us set them up for success in their dream assignment, whether that be a travel contract, local contract, or per diem shift. This is all driven by the simple idea that better care for our healthcare workers, leads to better patient care – and this is all supported by a dedicated internal staff. Our company culture is strongly backed by faith-based values and activities, to remind us that our success provides us the opportunity to serve and give back to our communities. This is the spirit of caregiving. This is PRN Healthcare. Benefits • Weekly pay, • Guaranteed Hours, • Continuing Education, • 401k retirement plan, • Referral bonus, • Employee assistance programs, • Company provided housing options, • Medical benefits, • Dental benefits, • Vision benefits, • Life insurance

PRN Healthcare is seeking a travel Respiratory Therapist for a travel job in Boston, Massachusetts. Job Description & Requirements • Specialty: Respiratory Therapist, • Discipline: Allied Health Professional, • Start Date: 12/28/2025, • Duration: 13 weeks, • 36 hours per week, • Shift: 12 hours, days Over the years Nurses PRN grew and evolved as a nationwide healthcare staffing company, and therefore wanted to be more inclusive to all valued healthcare professionals: nurses, allied health, locum tenens, CNAs, and more. This lead to the introduction of PRN Healthcare, which is inclusive of Nurses PRN and all of our other healthcare divisions. Our mission to create authentic, meaningful relationships with our healthcare professionals helps us set them up for success in their dream assignment, whether that be a travel contract, local contract, or per diem shift. This is all driven by the simple idea that better care for our healthcare workers, leads to better patient care – and this is all supported by a dedicated internal staff. Our company culture is strongly backed by faith-based values and activities, to remind us that our success provides us the opportunity to serve and give back to our communities. This is the spirit of caregiving. This is PRN Healthcare. Benefits • Weekly pay, • Guaranteed Hours, • Continuing Education, • 401k retirement plan, • Referral bonus, • Employee assistance programs, • Company provided housing options, • Medical benefits, • Dental benefits, • Vision benefits, • Life insurance

PRN Healthcare is seeking a travel Interventional Radiology Technologist for a travel job in Boston, Massachusetts. Job Description & Requirements • Specialty: Interventional Radiology Technologist, • Discipline: Allied Health Professional, • Start Date: 01/18/2026, • Duration: 13 weeks, • 36 hours per week, • Shift: 12 hours, days Over the years Nurses PRN grew and evolved as a nationwide healthcare staffing company, and therefore wanted to be more inclusive to all valued healthcare professionals: nurses, allied health, locum tenens, CNAs, and more. This lead to the introduction of PRN Healthcare, which is inclusive of Nurses PRN and all of our other healthcare divisions. Our mission to create authentic, meaningful relationships with our healthcare professionals helps us set them up for success in their dream assignment, whether that be a travel contract, local contract, or per diem shift. This is all driven by the simple idea that better care for our healthcare workers, leads to better patient care – and this is all supported by a dedicated internal staff. Our company culture is strongly backed by faith-based values and activities, to remind us that our success provides us the opportunity to serve and give back to our communities. This is the spirit of caregiving. This is PRN Healthcare. Benefits • Weekly pay, • Guaranteed Hours, • Continuing Education, • 401k retirement plan, • Referral bonus, • Employee assistance programs, • Company provided housing options, • Medical benefits, • Dental benefits, • Vision benefits, • Life insurance

PRN Healthcare is seeking a travel nurse RN Labor and Delivery for a travel nursing job in Newton, Massachusetts. Job Description & Requirements • Specialty: Labor and Delivery, • Discipline: RN, • Start Date: 01/19/2026, • Duration: 13 weeks, • 40 hours per week, • Shift: 8 hours, nights Over the years Nurses PRN grew and evolved as a nationwide healthcare staffing company, and therefore wanted to be more inclusive to all valued healthcare professionals: nurses, allied health, locum tenens, CNAs, and more. This lead to the introduction of PRN Healthcare, which is inclusive of Nurses PRN and all of our other healthcare divisions. Our mission to create authentic, meaningful relationships with our healthcare professionals helps us set them up for success in their dream assignment, whether that be a travel contract, local contract, or per diem shift. This is all driven by the simple idea that better care for our healthcare workers, leads to better patient care – and this is all supported by a dedicated internal staff. Our company culture is strongly backed by faith-based values and activities, to remind us that our success provides us the opportunity to serve and give back to our communities. This is the spirit of caregiving. This is PRN Healthcare. Benefits • Weekly pay, • Guaranteed Hours, • Continuing Education, • 401k retirement plan, • Referral bonus, • Employee assistance programs, • Company provided housing options, • Medical benefits, • Dental benefits, • Vision benefits, • Life insurance

PRN Healthcare is seeking a travel nurse RN PACU - Post Anesthesia Care for a travel nursing job in Boston, Massachusetts. Job Description & Requirements • Specialty: PACU - Post Anesthesia Care, • Discipline: RN, • Start Date: 01/26/2026, • Duration: 13 weeks, • 36 hours per week, • Shift: 12 hours, days Over the years Nurses PRN grew and evolved as a nationwide healthcare staffing company, and therefore wanted to be more inclusive to all valued healthcare professionals: nurses, allied health, locum tenens, CNAs, and more. This lead to the introduction of PRN Healthcare, which is inclusive of Nurses PRN and all of our other healthcare divisions. Our mission to create authentic, meaningful relationships with our healthcare professionals helps us set them up for success in their dream assignment, whether that be a travel contract, local contract, or per diem shift. This is all driven by the simple idea that better care for our healthcare workers, leads to better patient care – and this is all supported by a dedicated internal staff. Our company culture is strongly backed by faith-based values and activities, to remind us that our success provides us the opportunity to serve and give back to our communities. This is the spirit of caregiving. This is PRN Healthcare. Benefits • Weekly pay, • Guaranteed Hours, • Continuing Education, • 401k retirement plan, • Referral bonus, • Employee assistance programs, • Company provided housing options, • Medical benefits, • Dental benefits, • Vision benefits, • Life insurance

PRN Healthcare is seeking a travel nurse RN Telemetry Med Surg for a travel nursing job in Newton, Massachusetts. Job Description & Requirements • Specialty: Telemetry, • Discipline: RN, • Start Date: 01/19/2026, • Duration: 13 weeks, • 36 hours per week, • Shift: 12 hours, nights Over the years Nurses PRN grew and evolved as a nationwide healthcare staffing company, and therefore wanted to be more inclusive to all valued healthcare professionals: nurses, allied health, locum tenens, CNAs, and more. This lead to the introduction of PRN Healthcare, which is inclusive of Nurses PRN and all of our other healthcare divisions. Our mission to create authentic, meaningful relationships with our healthcare professionals helps us set them up for success in their dream assignment, whether that be a travel contract, local contract, or per diem shift. This is all driven by the simple idea that better care for our healthcare workers, leads to better patient care – and this is all supported by a dedicated internal staff. Our company culture is strongly backed by faith-based values and activities, to remind us that our success provides us the opportunity to serve and give back to our communities. This is the spirit of caregiving. This is PRN Healthcare. Benefits • Weekly pay, • Guaranteed Hours, • Continuing Education, • 401k retirement plan, • Referral bonus, • Employee assistance programs, • Company provided housing options, • Medical benefits, • Dental benefits, • Vision benefits, • Life insurance

PRN Healthcare is seeking a travel nurse RN Cardiac Cath Lab for a travel nursing job in Boston, Massachusetts. Job Description & Requirements • Specialty: Cardiac Cath Lab, • Discipline: RN, • Start Date: 01/18/2026, • Duration: 13 weeks, • 36 hours per week, • Shift: 12 hours, days Over the years Nurses PRN grew and evolved as a nationwide healthcare staffing company, and therefore wanted to be more inclusive to all valued healthcare professionals: nurses, allied health, locum tenens, CNAs, and more. This lead to the introduction of PRN Healthcare, which is inclusive of Nurses PRN and all of our other healthcare divisions. Our mission to create authentic, meaningful relationships with our healthcare professionals helps us set them up for success in their dream assignment, whether that be a travel contract, local contract, or per diem shift. This is all driven by the simple idea that better care for our healthcare workers, leads to better patient care – and this is all supported by a dedicated internal staff. Our company culture is strongly backed by faith-based values and activities, to remind us that our success provides us the opportunity to serve and give back to our communities. This is the spirit of caregiving. This is PRN Healthcare. Benefits • Weekly pay, • Guaranteed Hours, • Continuing Education, • 401k retirement plan, • Referral bonus, • Employee assistance programs, • Company provided housing options, • Medical benefits, • Dental benefits, • Vision benefits, • Life insurance

PRN Healthcare is seeking a travel nurse RN OR - Operating Room for a travel nursing job in Newton, Massachusetts. Job Description & Requirements • Specialty: OR - Operating Room, • Discipline: RN, • Start Date: 01/20/2026, • Duration: 13 weeks, • 40 hours per week, • Shift: 8 hours, nights Over the years Nurses PRN grew and evolved as a nationwide healthcare staffing company, and therefore wanted to be more inclusive to all valued healthcare professionals: nurses, allied health, locum tenens, CNAs, and more. This lead to the introduction of PRN Healthcare, which is inclusive of Nurses PRN and all of our other healthcare divisions. Our mission to create authentic, meaningful relationships with our healthcare professionals helps us set them up for success in their dream assignment, whether that be a travel contract, local contract, or per diem shift. This is all driven by the simple idea that better care for our healthcare workers, leads to better patient care – and this is all supported by a dedicated internal staff. Our company culture is strongly backed by faith-based values and activities, to remind us that our success provides us the opportunity to serve and give back to our communities. This is the spirit of caregiving. This is PRN Healthcare. Benefits • Weekly pay, • Guaranteed Hours, • Continuing Education, • 401k retirement plan, • Referral bonus, • Employee assistance programs, • Company provided housing options, • Medical benefits, • Dental benefits, • Vision benefits, • Life insurance

Senior Machine Learning Engineer Job Description 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. 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 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) * At least 3 years of experience designing and building data-intensive solutions using distributed computing * At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) * At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: * 1+ years of experience building, scaling, and optimizing ML systems * 1+ years of experience with data gathering and preparation for ML models * 2+ years of experience developing performant, resilient, and maintainable code * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience with distributed file systems or multi-node database paradigms * Contributed to open source ML software * Authored/co-authored a paper on a ML technique, model, or proof of concept * 3+ years of experience building production-ready data pipelines that feed ML models * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance 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: $158,600 - $181,000 for Senior Machine Learning Engineer McLean, VA: $158,600 - $181,000 for Senior Machine Learning Engineer Richmond, VA: $144,200 - $164,600 for Senior 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).

Senior 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. 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).

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: $225,400 - $257,200 for Sr. Lead AI Engineer Cambridge, MA: $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).

Job Description NON CDL Owner-Operator - Box Truck (24ft & 26ft) | High Weekly Gross | No Forced Dispatch Join one of the top-rated carriers in the market where drivers come to stay Compensation: • Weekly Gross: $6,000 to $7,500 (Solo), • Top Earners: $8,000+ per week, • No Factoring Fees, • Clean DOT Inspection Bonus, • Sign-On Bonus AvailableWhat We Offer:, • No Forced Dispatch - You choose your loads, • OTR Across 48 States Bi-weekly home time, • Consistent Freight General freight - no-touch, • Competitive Rates & Steady Miles, • 24/7 Safety & ELD Support, • Fuel Card Program, • Work as an independent contractor, • Paid On-site OrientationRequirements:, • 24ft or 26ft box truck (model year 2013 or newer), • Minimum 6 months of verifiable OTR experience

Job Description We're recruiting experienced CDL A drivers for a carrier partner offering dedicated routes with weekly home time. This position provides the stability of familiar routes combined with competitive weekly pay of $1,400 to $1,600. If you're seeking a driving opportunity that offers predictability, quality equipment, and a professional environment, this role delivers the consistency and support that experienced drivers value. What We Offer: • Late-model Peterbilt 579 equipment maintained to the highest standards, featuring advanced technology and designed for driver comfort and reliability on every trip, • Dedicated account with consistent routes and predictable schedules, allowing you to plan your time effectively and maintain a healthier work-life balance with weekly home time, • Competitive weekly pay ranging from $1,400 to $1,600, with a comprehensive benefits package including medical, dental, vision coverage, 401K retirement plan, and company-paid life insurance, • Supportive work environment where driver feedback is valued and open communication is prioritized, creating a collaborative atmosphere among professional drivers Qualified candidates must possess a valid Class A Commercial Driver's License with a clean driving history that demonstrates a commitment to safety and professionalism. We're looking for drivers with a strong work ethic, positive attitude, and team-oriented mindset who take pride in their work and understand the importance of reliability in this role. About ATG Recruiting: ATG Recruiting specializes in connecting qualified CDL A drivers with reputable carriers nationwide. We work with transportation companies that prioritize driver satisfaction, safety, and professional growth. Our goal is to match experienced drivers with positions that offer the stability, equipment quality, and work environment they're looking for in their driving career. Our staff carefully reviews each submission and reaches out to discuss roles that best match your qualifications and career goals. We are committed to a workplace that promotes equality, respect, and inclusion. Job Posted by ApplicantPro

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).

Senior 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 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).

Senior AI Engineer (Gen AI Platform Services, Agentic Systems) 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 3 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 1 year of experience developing AI and ML algorithms or technologies * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience 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 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: $158,600 - $181,000 for Senior AI Engineer McLean, VA: $158,600 - $181,000 for Senior AI Engineer New York, NY: $173,000 - $197,400 for Senior AI Engineer San Francisco, CA: $173,000 - $197,400 for Senior AI Engineer San Jose, CA: $173,000 - $197,400 for Senior 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 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 3 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 1 year of experience developing AI and ML algorithms or technologies * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience 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 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: $158,600 - $181,000 for Senior AI Engineer McLean, VA: $158,600 - $181,000 for Senior AI Engineer New York, NY: $173,000 - $197,400 for Senior AI Engineer San Francisco, CA: $173,000 - $197,400 for Senior AI Engineer San Jose, CA: $173,000 - $197,400 for Senior 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 Manager, Software Engineering, Machine Learning - Capital One Software (Remote) Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. As a Capital One Machine Learning Engineer (MLE), you'll be part of software team dedicated to producing 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. 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 8 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 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions * At least 4 years of people management experience. Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 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. Remote (Regardless of Location): $204,900 - $233,800 for Sr. Mgr, Machine Learning Engineering Richmond, VA: $204,900 - $233,800 for Sr. Mgr, Machine Learning Engineering 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 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 3 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 1 year of experience developing AI and ML algorithms or technologies * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience 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 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: $158,600 - $181,000 for Senior AI Engineer McLean, VA: $158,600 - $181,000 for Senior AI Engineer New York, NY: $173,000 - $197,400 for Senior AI Engineer San Francisco, CA: $173,000 - $197,400 for Senior AI Engineer San Jose, CA: $173,000 - $197,400 for Senior 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 AI Engineer (LLM Core) 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 3 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 1 year of experience developing AI and ML algorithms or technologies * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience 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 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: $158,600 - $181,000 for Senior AI Engineer McLean, VA: $158,600 - $181,000 for Senior AI Engineer New York, NY: $173,000 - $197,400 for Senior AI Engineer San Francisco, CA: $173,000 - $197,400 for Senior AI Engineer San Jose, CA: $173,000 - $197,400 for Senior 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) 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).

Job Description We’re running the Northeast and looking for a few solid drivers who know how to handle business. No gimmicks, no fake bonuses — just steady miles, good equipment, and weekly home time. What you get: • Dry van, 100% no-touch, • Around 1,500 miles a week, • Home weekly for 34 resets (weekends not guaranteed), • $0.80–$0.85 CPM + stop & detention pay, • Weekly pay : $1200-$1500, • Long Island $65, • Late-model Freightliners & Kenworth's, • Pet & rider friendly from day one, • Health, dental, vision after 30 days, • 401k match,, • CDL-A,, • 3+ months tractor trailer (40ft+) recent exp, • 21+, clean record, no SAP

Senior 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 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 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).

Job Description Welcome to the future of cloud networking and security! Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeem, Trusteer and more). Cato's unique technology inspired a brand-new product category, later named "SASE" by Gartner and a market expected to reach $28.5 billion by 2028. This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don't miss it! Cato Networks is seeking a highly technical and business savvy Customer Success Manager (CSM) in the Northeast to drive customer adoption, ensure value realization, and lead renewal and upsell conversations for our AI Security platform. This role requires a unique blend of deep technical understanding—across AI/ML, security architecture, and integrations—with strong commercial acumen negotiating renewals and identifying expansion opportunities. You will partner with security, IT, and compliance teams as they deploy AI safely, while also collaborating with procurement, finance, and executive stakeholders to secure long-term business growth. Key Responsibilities • Own and manage a portfolio of enterprise customers, ensuring strong adoption, measurable outcomes, and long-term retention., • Build customer success plans, define and track KPIs, and guide customers in implementing AI security best practices (model risk monitoring, prompt security, governance workflows, etc.)., • Lead regular business reviews (QBRs/EBRs) with both technical and executive audiences., • Serve as a technical advisor on AI security architecture, including integrations with CASB, DLP, SIEM, SASE, model gateways, and LLM application workflows., • Support customer onboarding and deployment by providing hands-on guidance, troubleshooting, and adoption enablement., • Translate complex technical requirements into actionable tasks for customers and internal teams., • Own the full renewal lifecycle—forecasting, preparing commercial proposals, negotiating pricing/terms, and closing renewals., • Identify expansion opportunities across products, modules, consumption tiers, or additional use cases., • Partner with Sales to execute upsell strategies based on customer maturity, increased usage, or new AI risk requirements., • Provide customer feedback to Product and Engineering to influence roadmap priorities., • Work closely with Professional Services to ensure smooth implementation and timely delivery., • Deliver workshops, onboarding sessions, and executive briefings on AI threat models, safe LLM adoption, and governance frameworks., • 5+ years in Customer Success, Technical Account Management, or Sales Engineering within cybersecurity, cloud security, and AI/ML platforms., • Strong technical background—experience with security architectures, API gateways, cloud platforms, data protection, or AI/LLM workflows., • Demonstrated commercial experience handling renewals, negotiating contracts, and driving upsells., • Ability to confidently speak with both deeply technical teams and procurement/executive stakeholders., • Strong project management, communication, and executive presentation skills., • Familiarity with AI governance, prompt hardening, model evals, or red-teaming methods., • Experience supporting SASE/SSE, CASB, or SaaS security products., • Startup or early-stage scaling experience. #LI-MR1

Job DescriptionDescription: The Video Editor will be responsible for creating engaging video content and motion graphics for digital, brand, and marketing needs. Candidates must have advanced knowledge of Adobe After Effects, Premiere Pro, and other editing tools. As a Video Editor, you will: • Create motion graphics for digital content, brand videos, and social media., • Create video trailers for communications and marketing needs., • Develop storyboards, style frames, and motion concepts to enhance productions., • Utilize appropriate software to create advanced designs and animation., • Contribute to the creative direction of brand campaigns., • Design and edit video pieces that strongly communicate brand narrative., • Animate typography, logos, infographics, UI/UX elements, and other visual assets., • Research the latest ideas and techniques in video production, editing, and gaming to maintain innovation and growthRequirements: We're looking for individuals who: • Experience in video production and digital media., • Must have expert-level knowledge of Adobe suite of products (After Effects, Premiere, Media Encoder, Photoshop,)., • Knowledge of modern video editing, delivery, and compression techniques., • Excel in a team environment, ability to build/maintain positive relationships. Peak Support and our Work-from-Home PLUS model At Peak Support, we are dedicated to providing exceptional service to our clients and an exceptional work environment for our team members. We don’t do this with ping pong tables or video games. We do it by creating a positive, encouraging and performance-driven culture that enables our team members to build rewarding, long-term careers. We’re proud that our Glassdoor rating of 4.5 is the highest in the Business Process Outsourcing industry. Peak Support offers all the convenience of working from home, with the benefits of working for an established organization with an exceptional team and tremendous opportunities for growth. Peak Support has been 100% remote since day one, so we have built a culture and a set of processes that support the success of our remote team members.

Job Description Job Description: The Boston Globe is hiring an editor for the Great Divide, an award-winning education unit within The Boston Globe newsroom examining issues of race, identity, class, and opportunities in public education. Since its inception in 2019, this dynamic team of five journalists has consistently produced hard-hitting journalism for Boston and across the state. Supported in part by The Barr Foundation, The Great Divide is also seen as a national model for the future of education reporting. The ideal candidate will be a high-energy leader who can lead with vision and purpose. The editor should be an enterprising journalist who can see the big picture in every facet of our coverage. They will be a seasoned story editor comfortable with assigning and directing reporters on daily news stories and enterprise, ambitious long-term projects, and investigations that properly convey the context and nuance of this complex topic. Our aim will be to do journalism that can’t be ignored. They should also be a skilled wordsmith capable of elevating copy to superior levels. Additionally, they should possess an appreciation for the importance of local news and a passion for the role it plays within a community. To help ensure our journalism has reach, the editor will be required to utilize best practices in digital publishing and audience engagement and work closely with other teams on efforts such as video and events. Finally, the editor should be an experienced people manager who sets the tone for the team, inspires reporters to produce high-impact journalism, nurtures staff, and creates a supportive team environment. Responsibilities: • Possess an editorial vision, including beats and areas of coverage, • Assign, edit, and publish stories in a timely manner, • Represent the Globe at community events and industry conferences, • At least 5-8 years as a reporter and editor, • Prior experience covering topics of education, race, and inequality preferred, • Proven experience managing diverse digital teams to successful results, • An entrepreneurial mindset and ability to think creatively, • Comfortable with change and working within a dynamic team environment, • A willingness to adapt and be audience focused, with a curious mindset and a commitment to creating an inclusive work environment The annual salary for this role is $90,400 - $112,300. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. EEO Statement: At Boston Globe Media, our mission is to empower, connect, and convene our communities with independent, trusted journalism and storytelling. We know a critical part of achieving this is by having a workforce that is representative of the communities we serve. Boston Globe Media is an equal opportunity employer that welcomes candidates and colleagues of all backgrounds, experiences, perspectives, and skills.

Job Description • We are hiring immediately for a full time HVAC TECH position., • Location: AstraZeneca - 35 Gatehouse Drive, Waltham, MA 02451. Note: online applications accepted only., • Schedule: Full time; Monday through Friday, 7:00 am to 3:30 pm. More details upon interview., • Requirement: Five to eight years of prior HVAC experience and a HVAC license is required., • Perform preventative maintenance: Adhere to schedules and conduct regular inspections., • Optimize system performance and energy efficiency: Analyze data and implement improvements., • Ensure regulatory compliance: Adhere to codes, regulations, and safety standards., • Respond to emergency service calls: Including after-hours and weekends., • Document maintenance and repairs: Maintain accurate records and generate reports., • Collaborate with facility staff: Communicate effectively and work as part of a team., • Adhere to safety protocols: Use PPE and follow lockout/tagout procedures., • Perks: Commuting benefit!, • Pay Range: $40.00 per hour to $48.50 per hour. ESFM is the corporate Integrated Facilities Management (IFM) division of Compass Group USA and a Keystone member of the International WELL Building Institute (IWBI). We Make Applying Easy! Want to apply to this job via text messaging? Text JOB to 75000 and search requisition ID number 1485268. The advertised program is a conversational recruiting assistant that helps you apply to jobs with Compass Group. Message frequency varies. Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions: Rooted in hospitality, ESFM elevates the workplace experience as the single source of innovative FM solutions that ensure a safe, healthy, and sustainable environment. ESFM’s clients include many household names from Life Science, Technology, Oil & Gas and Manufacturing markets. ESFM self-performs 80% of all IFM solutions provided to clients. Their portfolio of service categories includes Environment, Health & Safety, Facilities Maintenance & Engineering, Sustainability, Janitorial & Industrial Cleaning, Laboratory Support and Workplace solutions. This self-performance model creates a consistent hospitality experience for clients, resulting in higher engagement and productivity from their employees. In 2020, ESFM (formerly Eurest Services) won the George Graves Award for Facility Management Achievement from the International Facilities Management Association (IFMA). Job Summary Summary: The HVAC Maintenance Technician performs a variety of skilled maintenance duties related to the facilities engineering and maintenance functions and is assigned to work for a Supervisor, Foreman, and/or Master Mechanic on a regular basis. Incumbent is guided by a comprehensive and proven skill in one trade as evident by possession of an appropriate license from the state. Within the incumbent’s chosen trade, he/she will work independently to analyze and correct complex problems and ensure that non-license workers perform work in a manner consistent with correct work practices. Essential Duties and Responsibilities: • Updates work statuses and documents tasks completed in the CMMS utilizing a mobile device., • Helps determine manpower, material needs, and deadlines for jobs and projects., • Cleans, lubricates, services, repairs, and diagnoses malfunction of HVAC, electrical and mechanical building systems, sterilizers, food service equipment, sprinkler and standpipe systems, transport systems, electronic signaling systems, fire alarm systems and similar plant and specialty equipment items, • Assists in making decisions on all repairs and reports major problems to the Maintenance Supervisor, Foreman, and Manger as appropriate., • Constructs, finishes, installs, maintains, and repairs electrical and mechanical systems, or the facilities of any related systems, using power & hand tools and other necessary equipment., • Reviews outside vendor projects and makes punch lists., • Analyzes and corrects complex building system problems and electro/mechanical problems related to utilities., • Supports project management activity as needed., • Responds to emergency problems in the facility and makes emergency repairs as needed., • Maintains logs, performs rounds, and completes P.M. work orders, tests, and inspections., • Makes recommendations for modification or improvement of preventive maintenance systems., • Maintains shops and mechanical areas in a clean and safe manner., • Preforms other duties as assigned. Qualifications: • 5 years’ experience as a Maintenance Technician in an institutional setting in an engineering or maintenance discipline., • One of the following: Journeyman Electrical License, Registered ACR Technician with EPA certification in Refrigerant, or Journeyman Plumber License., • Experience working with blueprints and schematics., • Valid driver’s license., • A general understanding of electro-mechanical equipment., • Rudimentary ability to utilize hand-operated construction equipment., • Ability to repeatedly lift 50 pounds and kneel/bend/stoop and perform strenuous labor for extended periods of time. Working Conditions: Some exposure to elevated degrees of high heat, noise, dust, dirt and/or areas requiring infection control. Requires meeting deadlines for completion of work on a daily basis. Must be able to work all hours, including weekends and nights, as necessary, in order to maintain facility at the appropriate and safe level. Associates at ESFM are offered many fantastic benefits. Full-time and part-time positions offer the following benefits to associates: Retirement Plan, Associate Shopping Program, Health and Wellness Programs, Discount Marketplace, Identity Theft Protection, Pet Insurance, Voluntary Benefits, including Critical Illness Insurance, Accident Insurance, Hospital Indemnity Insurance, Legal Services, and Choice Auto and Home Program Full-time positions also offer the following benefits to associates: Medical, Dental, Vision, Life Insurance/AD, Disability Insurance, Commuter Benefits, Employee Assistance Program, Flexible Spending Accounts (FSAs) Associates may also be eligible for paid and/or unpaid time off benefits in accordance with applicable federal, state, and local laws. For positions in Washington State, Maryland, or to be performed Remotely, click here or copy/paste the link below for paid time off benefits information. About Compass Group: Achieving leadership in the foodservice and facility management industry Compass Group is an equal opportunity employer. At Compass, we are committed to treating all Applicants and Associates fairly based on their abilities, achievements, and experience without regard to race, national origin, sex, age, disability, veteran status, sexual orientation, gender identity, or any other classification protected by law. Qualified candidates must be able to perform the essential functions of this position satisfactorily with or without a reasonable accommodation. Disclaimer: this job post is not necessarily an exhaustive list of all essential responsibilities, skills, tasks, or requirements associated with this position. While this is intended to be an accurate reflection of the position posted, the Company reserves the right to modify or change the essential functions of the job based on business necessity. Applications are accepted on an ongoing basis. ESFM maintains a drug-free workplace. ESFM

PRIDE Health is seeking a Social Work Licensed Clinical Social Worker for a travel job in Jamaica Plain, Massachusetts. Job Description & Requirements • Specialty: Licensed Clinical Social Worker, • Discipline: Social Work, • Start Date: 12/29/2025, • Duration: 13 weeks, • 40 hours per week, • Shift: 8 hours, days Pride Health Job ID #17523871. Pay package is based on 8 hour shifts and 40.0 hours per week (subject to confirmation) with tax-free stipend amount to be determined. Posted job title: Social Worker:LCSW,09:00:00-17:00:00 About PRIDE Health PRIDE Health is the minority-owned healthcare recruitment division of Pride Global—an integrated human capital solutions and advisory firm. With our robust and abundant travel nursing and allied health employment options across the U.S., PRIDE Health will allow you to help change the way the world lives and heals as it connects you with the industry’s leading healthcare organizations. Pride Global offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance, and employee discounts with preferred vendors. Benefits • Weekly pay, • Holiday Pay, • Guaranteed Hours, • 401k retirement plan, • Cancelation protection, • Referral bonus, • Medical benefits, • Dental benefits, • Vision benefits

PRIDE Health is seeking a travel nurse RN Home Health for a travel nursing job in Newton Center, Massachusetts. Job Description & Requirements • Specialty: Home Health, • Discipline: RN, • Start Date: 12/14/2025, • Duration: 13 weeks, • 40 hours per week, • Shift: 8 hours, days Pride Health Job ID #17280420. Pay package is based on 8 hour shifts and 40.0 hours per week (subject to confirmation) with tax-free stipend amount to be determined. Posted job title: RN:Behavioral Health,09:00:00-17:00:00 About PRIDE Health PRIDE Health is the minority-owned healthcare recruitment division of Pride Global—an integrated human capital solutions and advisory firm. With our robust and abundant travel nursing and allied health employment options across the U.S., PRIDE Health will allow you to help change the way the world lives and heals as it connects you with the industry’s leading healthcare organizations. Pride Global offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance, and employee discounts with preferred vendors. Benefits • Weekly pay, • Holiday Pay, • Guaranteed Hours, • 401k retirement plan, • Cancelation protection, • Referral bonus, • Medical benefits, • Dental benefits, • Vision benefits

Job DescriptionPatient Resource Specialist At Author Health, we’re revolutionizing how mental health care is delivered, and we want you to be part of it! Our mission is to bring compassionate, high-quality care to people with serious mental illness, substance use disorders, and dementia, including older adults. We don’t just treat symptoms. We treat people — fully, holistically, and with heart! Through our virtual-first, innovative care model, we deliver community-based wrap-around outpatient mental health care inclusive of psychiatric, psychotherapeutic and care management services. We partner with primary care providers, hospitals, families, and caregivers to keep patients out of the hospital and empower them to live healthier, more connected lives. At Author, inclusivity isn’t a checkbox. It’s how we build trust and drive better outcomes! We honor the unique cultures, identities, and stories that shape every patient’s experience, and we’re creating a workplace where team members can show up as their full selves, too. If you’re driven by purpose, ready to shake up the status quo, and eager to make a real impact in people’s lives, we’d love to meet you. Let’s build the future of mental health care together! What You’ll Do As the Patient Resource Specialist within our Care Management Team at Author Health, you will focus on supporting patients with serious mental illness and substance use disorders. This includes helping to remove barriers to care by connecting patients with vital resources, including transportation, food, housing assistance, Medicaid applications, and more. Working within a multidisciplinary team, you will collaborate with patients, caregivers, and staff to ensure improved access to care and overall health outcomes for seniors and their families. This role is remote and we will provide all the equipment you need. * Patient Advocacy: Act as a liaison between patients and community resources, ensuring timely access to housing assistance, Medicaid enrollment, transportation services, food resources, and copay assistance. * Care Management Support: Work with care managers and healthcare providers to address patients' social, financial, and transportation needs. * Resource Coordination: Assist patients with the process of applying for Medicaid and other public assistance programs. Identify and connect patients with relevant social services, including housing support and food programs. * Documentation & Reporting: Maintain accurate and up-to-date records of patient interactions, including resource referrals, case updates, and outcomes, in compliance with HIPAA and company policies. * Education and Empowerment: Educate patients about available resources and guide them through application processes for public assistance programs and community-based services. * Follow-up Support: Monitor patients' progress in securing needed resources, providing follow-up to ensure successful implementation of services. * Collaboration: Work closely with multidisciplinary teams, including healthcare providers, and community organizations, to ensure holistic patient care. What You Bring To excel in this role, you should have: * Passion for helping patients to improve their health by removing barriers to care. * Compassionate and empathetic attitude toward working with patients facing challenging health and social circumstances. * Proven ability with working with patients with complex needs and finding resources to help them overcome barriers to care. * High School Diploma or equivalent required. * Preferred: College degree in Social Work, Healthcare Administration, or a related field. * At least 2 years of experience in case management, social work, customer service, or a related field. * Strong understanding of social determinants of health and their impact on patient outcomes. * Experience with public assistance programs, including Medicaid, housing resources, and food security initiatives is a plus. * Excellent interpersonal skills with the ability to communicate effectively with diverse populations. * Strong organizational skills and the ability to manage multiple tasks simultaneously. * Proficient with technology, including Google tools and various digital platforms. Preferred Skills & Experience: * Knowledge of local community resources and healthcare programs. * Being bilingual (English/Spanish) is a plus. * Ability to work in a fast-paced environment while maintaining attention to detail and quality of care. Work Environment: * Location: Remote. Employees will work from their homes, utilizing virtual tools and software to manage tasks, communicate with team members, patients and other stakeholders. You will also complete administrative duties on a computer provided by the company. * Schedule: Monday - Friday, 8-5 in your time zone * Physical Requirements: Ability to sit for extended periods, lift up to 10 lbs occasionally, and perform other office-related tasks. Author Health is committed to a diverse and inclusive workplace. It is the company’s policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual’s race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. The company’s policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. We are committed to providing an inclusive and accessible experience for all applicants. If you require any accommodations at any stage of the process, please let us know. The company is pleased to provide such assistance and no applicant will be penalized as a result of such a request. In accordance with applicable legal requirements such as the San Francisco Fair Chance Ordinance Author Health will consider for employment qualified applicants with arrest and conviction records. Monday through Friday, 8am-5pm in Eastern OR Central Time

Job Description The Opportunity: We are seeking a dedicated and results-oriented Bilingual Manager of Scholar Success (Portuguese/English, Spanish/English) to join our team. In this role, you will oversee the academic achievement and overall success of our scholars, particularly those who require support in both English and Portuguese. As the Manager of Scholar Success, you will work closely with students, families, and staff to ensure that our scholars receive the necessary resources and support to thrive academically and personally. Qualifications: • Bachelor's degree in Education, Counseling, or a related field is required., • Fluency in both Portuguese preferred and English is essential., • Proven experience working with bilingual students in an educational setting., • Strong interpersonal and communication skills to effectively connect with scholars, parents, and staff from diverse cultural and linguistic backgrounds., • Knowledge of different learning styles and effective instructional strategies to support scholars' educational needs., • Familiarity with educational resources, interventions, and programs for language support. Responsibilities: • Collaborate with teachers, parents, and other relevant stakeholders to develop personalized plans for scholars who require language support., • Provide guidance and mentorship to teachers on effective instructional strategies for bilingual students., • Monitor scholar progress and provide ongoing support by implementing appropriate interventions and resources., • Partner with the Scholar Success team to develop workshops and training sessions for parents on ways to support their child's academic success at home., • Stay updated on current research, best practices, and trends related to bilingual education and language acquisition., • Attend meetings, conferences, and professional development opportunities to enhance knowledge and skills in supporting bilingual scholars., • Collaborate with community organizations and resources to provide additional support and opportunities for bilingual scholars. Phoenix Charter Academy aims to show the world what all young people can do, and to defy the limitations of societal assumptions, classism, and racism. Phoenix Charter Academy was founded on the unwavering belief that all students can succeed at high levels. While this mantra is typical of high-performing schools, particularly those in the charter sector, Phoenix truly endeavors to reach every student, focusing on a growing number on the margins of the traditional public district education system: students who have dropped out of high school, students who are parenting children of their own, students who are or have been involved with the juvenile justice system, students who are older and new to the country and cannot gain access to public schooling, and students who are under-credited relative to the number of years they have spent enrolled in high school. We believe that these students, like all students, are completely capable of developing the skills necessary to set themselves up for lifetimes of economic prosperity and success. We support our students with individually tailored and academically rigorous curricula and push them to succeed at the highest levels by providing them with the resources and mentoring that they need to reach their full potential. Why Our Work is Important Students across America are dropping out of high school at an alarming rate. Dropping out of high school has a substantial impact on a young person’s life. Over the course of their lifetime, an individual who drops out of high school is more likely to have reduced earning power, greater social service dependency, increased rates of criminal involvement, and shorter life expectancy. Phoenix Charter Academies addresses this trend by creating environments where students can demonstrate their talent and resilience and prepare themselves for success through high school, college, and beyond. Commitment to DEI At Phoenix, we recognize the importance of forming a school community inclusive of all visible and invisible identities. We act to ensure that our students and staff always see reflections of themselves and their communities. At Phoenix, we aim to break down systemic barriers by providing access to resources, experiences, and differentiated supports for historically marginalized groups. At Phoenix, we solicit, value, understand, connect, and leverage multiple perspectives and experiences. We invite all perspectives except those that perpetuate oppression or dehumanization. At Phoenix we do not just accept difference - we celebrate it, support it, and thrive on it for the benefit of our scholars and the communities we serve. We believe difference makes us stronger. Phoenix Charter Academy is an equal opportunity employer and as such, we do not discriminate against any team member or candidate because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, veteran status, marital status, pregnancy, or any other basis protected by federal, state or local law. Phoenix Charter Academy is committed to making any reasonable accommodations necessary to support an individual's employment. Qualities of Phoenix staff member: • Unwavering belief in our students - Phoenix staff operate with the deeply held belief that all young people want to and can succeed even in the face of substantial systemic barriers and societal constraints., • Continuous Improvement - Phoenix staff approach problem solving with curiosity and desire to understand the perspectives of others. They carry an internalized sense of “I can always learn more” and know that adults at Phoenix must model the qualities of being open-minded and willing to make mistakes and learn from them. Phoenix staff members embody “lifelong learner” mindsets and strive for constant improvement., • Eager to Learn - Phoenix staff must be able to learn as they go in a fast-paced, ever-evolving, urgent environment. They have the desire to receive direct feedback and the ability to implement the feedback into practice quickly., • Communication - Conveys information effectively and efficiently using verbal, non-verbal, and written communication skills; has knowledge and flexibility to communicate across lines of difference., • Scholar Orientation - Works to deepen understanding of scholars and centers the needs of scholars in all aspects of how the work is done., • Adaptability - Adjusts and strategically aligns work to the school's mission while navigating complex and changing environments internally and externally. We want you to be the best you can so you’ll receive professional development, coaching, and the resources needed for you to succeed. An open, curious, and celebratory culture that embraces diversity as a leading asset and fosters equity and inclusion through affinity groups and continuous capacity building supported by our Racial, Justice, and Equity working group. Competitive market comp, medical, dental, vision, mental health, and wellness plans, a 403b, and employee perks such as longevity bonus and pet insurance. Equal Opportunity Employer We are proud to be an equal opportunity employer and as such, we do not discriminate against any team member or candidate because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, veteran status, marital status, pregnancy, or any other basis protected by federal, state or local law. Phoenix Charter Academy is committed to making any reasonable accommodations necessary to support an individual's employment. The Network retains the right to modify this job description at any time, for any reason, at the Network’s sole discretion

PRIDE Health is seeking a travel nurse RN Home Health for a travel nursing job in Newton Center, Massachusetts. Job Description & Requirements • Specialty: Home Health, • Discipline: RN, • Start Date: 12/14/2025, • Duration: 13 weeks, • 40 hours per week, • Shift: 8 hours, days Pride Health Job ID #17353703. Pay package is based on 8 hour shifts and 40.0 hours per week (subject to confirmation) with tax-free stipend amount to be determined. Posted job title: RN:Home Health,09:00:00-17:00:00 About PRIDE Health PRIDE Health is the minority-owned healthcare recruitment division of Pride Global—an integrated human capital solutions and advisory firm. With our robust and abundant travel nursing and allied health employment options across the U.S., PRIDE Health will allow you to help change the way the world lives and heals as it connects you with the industry’s leading healthcare organizations. Pride Global offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance, and employee discounts with preferred vendors. Benefits • Weekly pay, • Holiday Pay, • Guaranteed Hours, • 401k retirement plan, • Cancelation protection, • Referral bonus, • Medical benefits, • Dental benefits, • Vision benefits

Job DescriptionCompany Description Nexthink is the leader in digital employee experience management software. The company provides IT leaders with unprecedented insight allowing them to see, diagnose and fix issues at scale impacting employees anywhere, with any application or network, before employees notice the issue. As the first solution to allow IT to progress from reactive problem solving to proactive optimization, Nexthink enables its more than 1,300 customers to provide better digital experiences to more than 18 million employees. Dual headquartered in Lausanne, Switzerland and Boston, Massachusetts, Nexthink has 9 offices worldwide. #LI-Remote Job Description We are seeking a motivated and dynamic Client Specialist to support and grow new business opportunities. In this role, you will lead and coordinate activities across various departments, ensuring we align the right skills and resources to achieve our business goals. Key Responsibilities: • Lead and coordinate pre-sales activities, professional services, service delivery managers, customer success, marketing, and functional leaders to drive success., • Prospect, identify, qualify, and build a robust sales pipeline., • Develop and execute a strategic account plan focused on business outcomes within your assigned territory., • Maintain a high-touch, trusted advisor status with customers, establishing and nurturing trust., • Collaborate with Nexthink’s partners within your territory to enhance service delivery., • Manage tactical business while simultaneously investing in larger, long-term strategic opportunities., • Conduct negotiations with a focus on mutual best interests, including contract management and pricing strategy., • Develop and maintain accurate quarterly and annual revenue forecasts for your accounts., • Embody our core values: We are one team, We are positive, We keep growing, and We get things done!Qualifications, • 2+ years of experience as an inside sales representative in a fast-paced SaaS environment., • Proven success in a sales capacity with a strong track record., • Expertise in Sales Cadence Optimization., • Exceptional relationship-building skills., • Strong understanding of Microsoft Office Suite., • CRM expertise (Gainsight preferred)., • Ability to learn and understand Nexthink product offerings quickly., • Excellent interpersonal communication skills. Additional Information We are the pioneers and trailblazers of a global IT Market Category (DEX) that is shaping the future of how the world works, giving our customers’ IT Teams total digital visibility across their enterprise. Our innovative solutions integrate real-time analytics, automation, and employee feedback across all endpoints. This enables our IT teams to solve complex technical challenges, create ever more productive workplaces, and deliver happy, satisfied employees in the digital workplace. With over 1000 employees across 5 continents, Nexthink operates as One Team, connecting, collaborating and innovating to continuously grow. We call our employees ‘Nexthinkers’ and our commitment to diversity, inclusion, and equity is second to none. We currently have over 75 nationalities working with us, from all cultures and backgrounds, speaking many different languages. Total Rewards @ Nexthink At Nexthink, we offer one of the most comprehensive and generous benefits plans. Your total rewards compensation package includes base salary and may also include a commission or performance bonus plan. We provide our US employees with 100% covered company benefits that consist of health, dental, vision as well as access to life insurance, long-term disability, and accidental death/personal loss coverage. In addition, we offer: • ️ Flexible Hours and unlimited vacation (employees have unlimited paid time off on top of the 15 days of holidays we offer), 11 company-paid holidays, and 3 extra days for volunteering., • Hybrid work model that balances office and remote work, with structured onboarding to foster connections and team integration., • Free access to professional training platforms to explore your interests and enhance your skills., • Up to 16 weeks of paid leave for birthing parents/primary caregivers, 6 weeks for secondary caregivers., • Plan for the future with a 401(k) plan featuring up to 4% company matching contributions, vesting immediately, to grow your retirement savings.

Job Description About the Company: demandDrive is an industry-leading integrated sales and marketing agency with over 400 employees, headquartered in the Greater Boston Area. demandDrive provides B2B clients with a comprehensive suite of solutions, including world-class digital marketing services combined with sales execution. While most companies execute sales and marketing functions in isolation, demandDrive combines industry-leading services in both areas, driving greater productivity and increasing our clients' revenue growth. demandDrive believes in strong leaders and a positive work culture. We are extremely passionate about helping our clients achieve and exceed their sales and marketing goals and being the best in the industry. The Company is private equity-sponsored and will be executing on an M&A strategy. About the Position: Client Success Manager (Manufacturing Division) demandDrive Manufacturing is a leading sales and demand generation firm seeking an experienced Client Success Manager to drive the success of industrial manufacturing clients. This role is critical to ensuring client satisfaction, maximizing program results, and supporting the growth of the company. You will serve as the primary liaison for assigned clients, guiding Business Development Specialists (BDS), implementing sales development programs, and ensuring that each client’s objectives are met or exceeded. Key Responsibilities • Onboard new clients, including knowledge transfer, campaign creation, playbook development, CRM setup, list sourcing, and the scheduling and calendaring of client meetings., • Manage and maintain strong client relationships, acting as the primary point of contact., • Oversee and coach Business Development Specialist teams to ensure preparedness, performance, and alignment of client goals., • Monitor team productivity using reporting tools; provide feedback and performance guidance., • Review weekly and quarterly reports, providing real-time updates to clients and management., • Collaborate with internal sales, marketing, and management teams to resolve client issues or optimize programs., • Adjust lead strategies, coverage, and CRM records to maintain program effectiveness., • Attend client review meetings to ensure objectives, targets, and expectations are consistently met., • 5+ years of experience:, • Managing multiple client accounts in industrial manufacturing with a focus on customer service., • Direct management/coaching of sales/business development teams in the industrial manufacturing sector., • Experience in strategic enterprise sales., • Proven experience in sales/business development management, particularly within the industrial manufacturing sector., • Demonstrated ability to lead and coach SD/BD teams to achieve high performance., • Strong attention to detail, capable of driving client success at all levels, • Strategic solutions-based thinking with the ability to make sound judgment calls., • Superior organizational, time management, and strategic planning skills., • Excellent written and verbal communication skills, and ability to anticipate and address client needs., • Bachelor’s degree, preferably in a business-related field., • Experience in inside sales or account management in the technology space is preferred., • Annual Salary + Bonus ($85,000 - $115,000 annual salary range + 20% in potential added annual bonus)., • Hybrid work model - or fully remote, depending on location., • Health Coverage (BCBS), and other health and wellness benefits, Vision Care, Dental Coverage (Delta Dental), Paid Paternity+Maternity Leave, Life+Disability Insurance, 401(k) matching., • Flexible PTO., • Positive Company Culture. vT7vRlOJ0a

Certification Details • Licensed Clinical Social Worker (LCSW), • Professional License/Certification as required for the positionJob Details, • The Behavioral Health Home Hospital (BHH) Research Social Worker/Case Manager supports an innovative care delivery model offering specialized psychiatric-care services in patients' homes as an alternative to inpatient psychiatric hospital admission., • Provides quality clinical services to patients in various community settings, delivering hospital/inpatient-level treatment., • Collaborates with professionals to address psychosocial, environmental, age-specific, and cultural issues to maximize well-being and effective use of healthcare and community resources., • Utilizes clinical social work techniques for consultation, assessment, treatment interventions, and advocacy., • Sees patients in person at their homes or remotely, managing up to 4 patients at a time., • Ideal for someone interested in a temporary position working on a research trial to broaden treatment opportunities for patients with active acute psychiatric conditions., • Position begins on 1/5 with schedule depending on caseload, approximately one hour per day.Job Requirements, • Must hold a professional license and/or certification as required for the position., • Primary source verification of professional license/certification within 30 days of start date and updated upon expiration., • MA Conditional Licenses not accepted., • Must submit a color photo taken in past 6 months with specific guidelines., • Documentation of immunizations and health screenings including MMR, Influenza Vaccine (required during flu season), Hepatitis B (strongly preferred), Tdap (preferred), TB Test within 3 months of start date, and Health Statement signed by MD/DO/NP/PA within 365 days of start date., • Fit Test for N95 respirator within 365 days of start date and updated annually., • Criminal background checks including MGB Criminal Background Check within 45 days prior to start date, Massachusetts CORI within 30 days prior to start date, National Sex Offender Check within 30 days of start and updated annually, and Exclusion Checks within 30 days of start and annually., • Must provide 2 recent references, including at least 1 supervisor or above in skillset., • Must submit MGB Resume including past 7 years of work experience with city and state., • Completion of MGB Skills Checklist and Candidate Submission Coversheet required for submission., • Respirator Medical Clearance Attestation required if fit test is required.Schedule Information, • Schedule depends on caseload, approximately one hour per day., • Position begins on 1/5 when the trial begins.Additional Details, • MGB Badge Photo required for onboarding., • MA Conditional Licenses not accepted., • No religious exemptions considered for Fit Test., • Flu vaccine required during flu season (Sept 15 - April 30) with no exemptions or waivers., • Fit Test cannot be done onsite at any location except Martha's Vineyard & Nantucket if traveler extends beyond original assignment., • Positive PPD requires negative chest x-ray documentation., • Health Statement must be updated if >6 month break., • Criminal background checks must include international searches if applicable., • MGB Education Verification required through background check company.

Job Description Full Time, Salaried position, schedule may vary depending on the needs of the department. THE POSITION: The Inpatient Services Manager for Attendants will work on the floor training the Inpatient attendants and administrative assistants as well as provide leadership, mentorship and management for the Inpatient attendants and assistants. The Inpatient Service Manager will also provide oversight on the inpatient volunteers. Some of the duties include: • Ensure that attendant and administrative assistant job descriptions are reviewed and updated as necessary on a yearly basis along with a task progression chart., • Ensure that all attendants are familiar with their job description and understand job responsibilities for each attendant level., • Ensure that all administrative assistants are familiar with their job description and understand job responsibilities., • Work closely with the inpatient trainers and hospital managers to identify when an attendant is ready to advance to training for an assistant level position within the hospital., • Mentor each attendant and administrative assistant and help them to identify next career steps within the hospital so they remain motivated and engaged in the work of the organization after they have mastered the attendant role., • Provide oversight and direction to Inpatient Service attendant team members. Maintain high visibility and availability; able to redirect workflow to keep department functioning efficiently. Demonstrate fairness and consistency when performing supervisory responsibilities., • Provide oversight to the inpatient administrative assistants to ensure all patient charges are accurate and timely., • Ensure that the daily census is completed and checked against the Signature visit list so that the visit list accurately reflects the inpatients and their cage assignments., • Train, schedule and assign volunteers for the inpatient service (e.g. Laundry, cage cleaning, walking patients etc.), • Monitor service daily to maximize efficiency of the attendants and the technicians they support and to improve processes and redirect assistance to other areas as needed., • Interact with veterinary staff, hospital staff, support staff, volunteers and clients relative to inpatient aspects of veterinary service., • Demonstrate and model a high level of customer service: respond to client questions, complaints and compliments with a non-judgmental and compassionate attitude. Ensure that staff is respectful of clients and their pets., • Proactively address veterinarian/staff issues and concerns. Follow department guidelines for assessing and managing simple and complex problems and/or complaints. Model appropriate conduct, behavior and direction to staff members, developing their ability to recognize and handle veterinarian/staff concerns appropriately., • Work collaboratively with other hospital departments and the veterinary staff ensuring that hospital policies and procedures are followed. Annual salary starting at $80-$90k Please note that candidates with additional experience or credentials may be eligible for compensation aligned with their qualifications WHO WE ARE: The Boston MSPCA-Angell is one of the oldest and most venerable humane organizations in the world, and working in an environment that clearly delivers on its mission of advancing the health and welfare of animals adds an important dimension to our work. APPLICANT REQUIREMENTS: We are looking for applicants with at least five years of experience working in a supervisory position. As this position requires excellent verbal and written communication skills, we require applicants to include a cover letter showcasing your writing skills. OUR BENEFITS: Our compensation package includes health, dental and life insurance, 403(b) retirement plan, tuition reimbursement, paid holidays, sick, and vacation time, employee discounts for pet health care, and free on-site parking. If you are interested in working for an organization where your work is an important part of a respected and caring non-profit, this may be the career change you are looking for.

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 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).

Job DescriptionPosition: Personal Care Assistant Location: South Boston Hours: Per-diem Overview: “Through support, opportunity and challenge, Triangle empowers people with disabilities and their families to enjoy rich, fulfilling lives.” Triangle, an innovative non-profit organization assisting people with cognitive and physical disabilities is seeking a Personal Care Assistant (PCA) for the Empowering People for Inclusive Communities (EPIC) program. EPIC, a part of Triangle, was founded in 2011 with the mission of preparing young people with disabilities to be actively engaged community leaders through education, leadership development and community service. About the Job: Triangle is looking for a dependable individual committed to assisting youth with disabilities to fulfill their leadership potential in the South Boston Areas. The qualified candidate will assist youth with disabilities in providing personal care and needed accommodations to ensure they are able to participate in EPIC programming, in addition to supporting staff with the execution of programming. Essential Duties and Responsibilities: • Assist EPIC youth with personal care routines as needed (toileting, eating, etc.), • Support youth by providing needed accommodations to ensure their participation in EPIC programming, • Work with EPIC staff to assist in preparing for programming to make sure the needs of all of EPIC’s young leaders are being met, • Supervise youth during workshops, volunteer opportunities, and recreational activities, • Represents Triangle and EPIC to family members, community organizations, and partners, • Provide Program Participants with instruction in performing community service projects and other programming, • Ensure that all personal care assistance provide to EPIC youth fits into EPIC’s self-advocacy model by ensuring that all assistance is youth led Additional Duties and Responsibilities: • Maintain proper care, use, inventory and storage of supplies and equipment, • Identify and assist in curriculum development and execution, • Participate in all required training, • Intervene in minor behavioral issues, • Participate in team meetings, • Assist in reaching programmatic goals set by EPIC Executive Director, • Other duties as assigned Please note: This position requires traveling to different partners. Candidate must have a valid driver’s license or dependable transportation. Candidate must pass a pre-employment CORI and Driving Record Check. Education and Experience: A minimum of 2 years of experience in human services, that includes experience working with youth with disabilities. Experience assisting people with disabilities with their personal care.

Job DescriptionAt 2Life Communities, our mission is to create opportunities for all older adults to live full lives of connection and purpose in dynamic, supportive environments. As we evolve to meet the diverse needs of our residents, we invite you to be a part of an exciting new venture. Within the year will open Opus Newton—a groundbreaking model of community for older adults who fall in between qualifying for subsidized housing and being able to afford the very high-end market offerings. Set on the JCC Campus in Newton and physically connected to 2Life Community’s Coleman House, Opus Newton will be an inclusive, welcoming community. A defining, unique element is the focus on volunteering as a community-building tool. All Opus residents agree to volunteer at least 10 hours/month. In addition, there are beautifully-landscaped terraces with a cafe, cultural arts and learning spaces, fitness areas, patios, and gardens. Walking trails will link our campus to the JCC, Newton Community Farm, and Nahanton Park. We are looking for staff who embody the spirit of the Opus community - a culture of inclusivity, warmth, and respect. This is a unique opportunity to help shape Opus Newton into a welcoming and engaging home for all its residents. GENERAL SUMMARY As a Line/Prep Cook, you'll play a key role in creating fresh, delicious meals for our residents while supporting the daily operations of the vibrant 2Life Dining Program. This is more than just a cooking job — it's an opportunity to make a real impact through food, teamwork, and community care. We are currently hiring for both full-time and part-time positions. ESSENTIAL JOB FUNCTIONS* * Effectively communicate with the 2Life team and staff to ensure resident needs and requests are met * Communicates effectively and with empathy with residents and stakeholders and effectively receives feedback * Conveys appropriate action plans and enforces policies and SOP’s (Standard Operating Procedures) * Assists in the planning and execution of menus and special diets * Prepares and/or supervises the preparation of meals and special diets * Assists the Executive Chef in ordering food and equipment for the kitchen and dining areas * Ensures the timely and orderly service of meals and proper nutritional diets * Ensures that the kitchen, food storage, and dining areas are maintained in compliance with applicable health codes, regulations, and department policies * Accounts for all kitchen stores, equipment, and utensils * Maintains cleanliness of all kitchen, storage, and dining areas, equipment, and utensils * Participates in mandatory training * Other related duties as the Executive Chef may assign PREPARATION, KNOWLEDGE, SKILLS & ABILITIES * Must meet one or more of the following criteria: * three or more years’ experience as a Cook or Chef preparing food for large numbers of people; * a degree or certificate from a culinary arts institution * ServSafe Certification * Willingness to work with and train team in food preparation * Flexibility and ability to learn and perform new duties and skills as assigned WORKING CONDITIONS/PHYSICAL DEMANDS * Ability to stand on your feet for up to 8 hours * Ability to lift items weighing between 10 to 50 pounds * Constant bending and reaching as high as 8 feet, using step ladder if necessary * Ability to walk through and deliver meals through overheated hallways * Ability to handle equipment at temperatures as high as 500 degrees * Ability to handle temperatures as low as 10 below zero * Will be handling knives and other sharp objects Qualified candidates are strongly encouraged to apply here BENEFITS AND MORE We offer a very rich benefit plan which for individuals adds 27% on top of the base pay and over 30% for employee +1 and families. Our rewards program includes but not limited to: * Robust medical and dental plan * Vision * Employer-paid life and AD&D, STD, and LTD insurance * 401(k) plan * Paid vacation * Paid holidays * 2 floating holidays * Pet insurance * And more! The above statements intend to describe the general nature and level of work performed by people assigned to do this job. The above does not intend to be an exhaustive list of all responsibilities and duties required. We desire to build and cultivate an inclusive environment that brings together a diverse workforce with unique experiences, backgrounds, talents, and perspectives. External and internal applicants, as well as position incumbents who become disabled as defined under the Americans with Disabilities Act must be able to perform the essential job functions (as listed) either unaided or with the assistance of a reasonable accommodation to be determined by management on a case by case basis.

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. 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).

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 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).

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).

Lead Machine Learning Engineer 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. 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. Sales Territory: $175,800 - $200,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Anytown, IL: $175,800 - $200,700 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).