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Lead Machine Learning Engineer (Gen AI, Python, Go, AWS) As a Capital One Machine Learning Engineer (MLE) on the GenAI Workflows Serving team, you'll be part of an Agile team dedicated to designing, building, and productionizing Generative AI applications and Agentic Workflow systems at massive scale. You’ll participate in the detailed technical design, development, and implementation of complex machine learning applications leveraging cloud-native platforms. You’ll focus on building robust ML serving architecture, developing high-performance application code, and ensuring the high availability, security, and low latency of our Generative AI solutions. You will collaborate closely with multiple other AI/ML teams to drive innovation and continuously 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 deliver GenAI models and components that solve complex business problems, while working in collaboration with the Product and Data Science teams. * Design and implement cloud-native ML Serving Platforms leveraging technologies like Docker, Kubernetes, KNative, and KServe to ensure optimized and scalable deployment of models. * Solve complex scaling and high-availability problems by writing and testing performant application code in Python and Go-lang, developing and validating ML models, and automating tests and deployment. * Implement advanced MLOps and GitOps practices for continuous integration and continuous deployment (CI/CD) using tools like ArgoCD to manage the entire lifecycle of models and applications. * Leverage service mesh architectures like Istio to manage traffic, enhance security, and ensure resilience for high-volume serving endpoints. * Retrain, maintain, and monitor models in production. * Construct optimized, scalable data pipelines to feed ML models. * 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, Go, 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, Go or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer San Francisco, CA: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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

Senior Machine Learning Engineer (KServe + Kubernetes, building Kubernetes Clusters, PyTorch, TensorFlow) 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 deploy 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. McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer New York, NY: $176,500 - $201,400 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).

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Job Description As the Account Relationship Manager your role will be to become a retail product and participation program expert that aids existing indirect F&I product agent and sellers in maximizing all Allstate Dealer Services (ADS) product and program participation. The selected incumbent would focus on account retention by providing both internal and external training and sales support. And they will also be the primary point of contact for ADS supporting independent agents and sellers to maximize production and profits with all ADS programs. The opportunity will include field travel which could be 50% of the time in the market. A company vehicle would be provided for field travel. This market is northern New Jersey, New England and the Mid-Atlantic states. Key Responsibilities • Serve as the primary relationship manager for all producing independent agents and dealers in assigned territory, • Communicate Area Relationship Manager (ARM) success stories to Regional Sales Manager (RSM) and Sales Channel Leader, • Monitor the independent agent or dealer production and opportunities in existing accounts and lead overall sales growth strategy for assigned territory, • Develop positive and productive independent agent and dealer relationships to attain ADS goals, • Directly support all ADS product sales, underwriting, contract processing, cancellations, claims and maximizing program profitability, • Participate in the registration for and delivery of external training workshops, seminars and classes; work directly with Sr. Instructors to ensure competency of entire regional teams in delivering training to established certification standards, • Coordinate training and support activity for assigned Finance and Insurance Specialist; work directly with FIS in developing the skills necessary for future ARM opportunity, • Execute all ADS processes and strategies in accordance with ADS best practices Education • 4 year Bachelors Degree (Preferred) Experience • 5 or more years of related experience (Preferred), • Finance & insurance industry experience (Preferred) Education & Experience (in lieu) • In lieu of the above education requirements, an equivalent combination of education and experience may be considered. #LI-DM1 Skills Business Influence, Business Prospecting, Insurance Industry, Negotiation, Product Sales, Sales Channels Compensation Compensation offered for this role is 98,620.00 - 135,602.50 annually and is based on experience and qualifications. The candidate(s) offered this position will be required to submit to a background investigation. Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact. Allstate generally does not sponsor individuals for employment-based visas for this position. Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component. For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance. For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance. To view the “EEO Know Your Rights” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs. To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint. It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.

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: $161,800 - $184,600 for Senior AI Engineer McLean, VA: $161,800 - $184,600 for Senior AI Engineer New York, NY: $176,500 - $201,400 for Senior AI Engineer San Francisco, CA: $176,500 - $201,400 for Senior AI Engineer San Jose, CA: $176,500 - $201,400 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).

Sr 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 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 Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 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 * 3+ years of people management experience * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents * 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 Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York, NY: $250,800 - $286,200 for Sr. 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).

Managing Veterinarian – Riverside Animal Hospital – Upper West Side, Manhattan, NY \n Are you ready to lead a high-performing veterinary team in one of New York City’s most dynamic and sought-after neighborhoods? We are seeking a Managing Veterinarian/Medical Director to lead Riverside Animal Hospital, a well-established, AAHA-accredited small animal practice serving the Upper West Side community. \n This is a unique opportunity to combine clinical excellence with leadership in a hospital that values high standards of care, strong client relationships, and a collaborative team culture. \n Why You’ll Love Working With Us: \n AAHA-Accredited Excellence: We adhere to the highest standards in veterinary medicine, ensuring best-in-class care for our patients. \n Established, Loyal Client Base: Deeply rooted in the Upper West Side community with highly engaged and committed pet owners. \n Medicine You Can Be Proud Of: A strong focus on preventive care, internal medicine, dentistry, and soft tissue surgery, with the support and tools to practice high-quality medicine. \n Collaborative, Experienced Team: Partner with an experienced support staff, including multiple highly skilled Licensed Veterinary Technicians, enabling a high standard of care and efficient workflow so doctors can focus on medicine. The hospital is structured to support strong technician utilization and a smooth daily flow. \n Prime Manhattan Location: Located near Riverside Park, offering a neighborhood feel within the energy of New York City. \n Your Role as Managing Veterinarian: \n • Practice medicine your way while providing high-quality medical and surgical care, • Lead, mentor, and develop a team of veterinarians and support staff, • Partner on hospital operations, growth strategy, and culture, • Base salary of $175,000–$200,000, plus production and leadership incentives, providing the opportunity for significantly higher total earnings, • Medical, dental, and vision insurance, • Generous PTO and CE allowance, • 401(k) with employer match, • DVM or equivalent degree, • 3+ years of clinical experience; leadership experience preferred, • Licensure (or eligibility) to practice in New York \n \n \n\nNational Veterinary Associates is a leading global pet care organization united in the love of animals and the people who love them.\n \nAt NVA, we’re on a mission to improve the lives of pets and the people who love them. That starts by empowering our care teams. We nurture their growth with resources to practice medicine their way. Our network of 1,000 hospitals connects them to a community of professionals who share their passion so they can learn and grow together. Our national presence enables us to deliver technology and innovations that simplify work and expand care for all. At NVA, we're committed to your professional growth. We support your entire career journey, offering opportunities ranging from mentorship to ownership.\n\n \n\nAt National Veterinary Associates, we want to make sure your experience connecting with us is seamless and straightforward. Here’s what to expect when interacting with us:\n \n• We’ll always reach out via verified LinkedIn profiles or emails ending in @nva.com\n• All job opportunities and applications are hosted on our official careers site: careers.nva.com\n• There is no cost or confidential information required to apply or be considered for a position\n \nIf you have any doubts about a communication, feel free to visit our careers page to verify authenticity or email us at . Thank you for exploring opportunities at NVA!\n\n \nNVA offers a comprehensive benefits program including medical, dental, vision, a 401k with employer match, and paid time off (including sick time) for all eligible employees. The team can provide more information about compensation and benefits for your specific location during the process. For positions based in Colorado, NVA provides eligible employees with paid sick and safe leave and public health emergency leave in accordance with the requirements of Colorado's Healthy Families and Workplaces Act.\n\n \nNVA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.\n \n\n\n

\n\n Part-Time Associate Veterinarian – Battery Park Veterinary Hospital (NYC) Location: Battery Park, Manhattan, NY Schedule: Part-Time Experience Required: Minimum 1 year Battery Park Veterinary Hospital — a well-established, high-quality companion animal practice in the heart of Battery Park — is seeking a part-time Associate Veterinarian to join our collaborative and progressive medical team. This is an excellent opportunity to practice high-level medicine with a supportive staff and a loyal, diverse client base in one of NYC’s most vibrant neighborhoods. Why Join Us? At Battery Park Veterinary Hospital, we prioritize exceptional patient care, strong client relationships, and a culture of teamwork and respect. Our ideal candidate brings solid general practice experience, along with confidence in surgery and dentistry, and values clear communication and patient advocacy. Hospital Highlights Digital radiography, including dental CO₂ surgical laser In-house laboratory Dedicated surgical suite Holistic services: laser therapy & acupuncture Oxygen cage and day hospitalization Access to boarded specialists for ultrasound & echocardiography What You’ll Do Provide high-quality medical, surgical, and dental care Develop and maintain strong client relationships Maintain thorough and accurate medical records Collaborate with an experienced and dedicated support team Stay current with advancements in veterinary medicine and best practices What We’re Looking For DVM/VMD degree (or equivalent) from an accredited university Licensed, or eligible for licensure, in the state of New York At least 1 year of clinical experience A collaborative, team-focused approach to patient care Strong communication, time management, and decision-making skills About the Neighborhood Battery Park is a thriving Manhattan community known for its waterfront views, green spaces, dining, culture, and convenient access to public transportation. Our clients are diverse and engaged — helping create a rewarding and dynamic work environment. Compensation $80,000 – $95,000+ annually (part-time) Compensation based on experience and includes production-based bonus potential. \n

Are you ready to grow your career with a company that values your hard work, safety, and success? Join ProAmpac , a global leader in flexible packaging solutions. We’re more than just a place to work – we’re a team that’s shaping the future of packaging. \n About Us \n ProAmpac is a global leader in flexible packaging – known for our innovation, customer service, and commitment to quality. We serve a wide range of industries with creative, sustainable solutions. Our five core values drive everything we do: Integrity • Intensity • Innovation • Involvement • Impact \n We are looking for a full-time proactive, people-centered HR Manager to lead Human Resources operations at our Brooklyn manufacturing site. This role is ideal for an HR professional who thrives in an operational environment, enjoys partnering closely with plant leadership, and excels at balancing employee advocacy with business needs. The HR Manager will oversee the full employee lifecycle, ensure regulatory and policy compliance, manage HR processes and systems, and help shape an engaging and high‑performance culture. \n Compensation ranges from $120k - $140k depending on experience. \n What You’ll Do: \n Core HR Operations \n\n • Manage the full employee lifecycle, including onboarding, offboarding, attendance, timekeeping, job changes, and promotions.\n, • Administer disciplinary actions and support supervisors with consistent application of policies.\n, • Maintain accurate HRIS and payroll inputs; ensure data quality and documentation standards are met.\n, • Partner with hiring managers to coordinate recruiting activities: screening, interviewing, selection, and offer processes.\n, • Serve as a trusted resource for employees and supervisors, responding to day-to-day questions and concerns.\n, • Coordinate investigation logistics with HR Business Partners.\n, • Facilitate engagement activities, support survey logistics, and assist in action planning.\n, • Maintain positive relationships with union representatives and support labor management activities.\n, • Administer FMLA, STD, and other leave programs; coordinate return to work processes.\n, • Ensure compliance with labor regulations, company policies, and audit requirements.\n, • Support site Health & Safety programs and maintain a strong presence on the production floor.\n, • Bachelor’s degree in HR, Business Administration, or related field preferred.\n, • 5+ years of HR generalist experience in a manufacturing, packaging, or similar operational environment.\n, • Experience supporting unionized workforces and labor relations activities.\n, • Working knowledge of employment and labor laws.\n, • Experience with HRIS systems and payroll input processes.\n, • Knowledge of leave management, compliance, and site-level policy implementation.\n, • Familiarity with workplace safety requirements.\n, • Strong communication, relationship-building, and interpersonal skills.\n, • Ability to work with both hourly and salaried employees with professionalism and discretion.\n, • Highly organized, resilient, and able to manage multiple priorities in a fast paced environment.\n, • Competitive compensation with performance-based incentives and retirement savings plans with company match\n, • Customizable group benefits including health, dental, life, disability, and travel insurance\n, • Paid time off\n, • Career development opportunities\n, • A dynamic, inclusive work environment where your voice matters and your growth is supported\n\n #LI-CD1 Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities \nThis employer is required to notify all applicants of their rights pursuant to federal employment laws. \nFor further information, please review the Know Your Rights notice from the Department of Labor.

Application Deadline: 04/10/2026 Address: 151 W 42nd Street Job Family Group: Business Management BMO Capital Markets is a leading, full-service financial services provider. We offer corporate and investment banking, treasury management, as well as research and advisory services to clients around the world. #bmocapitalmarkets VP, Risk Portfolio Control sits within Capital Markets and is responsible for the production, analysis, and communication of risk metrics, dashboards, and management reporting. The role supports business management in monitoring adherence to the Risk Appetite Statement, identifying emerging risks, and driving timely management actions. This role acts as a key interface between the business, 2nd Line Risk, and governance forums, ensuring risk information is accurate, timely, decision‑useful, and aligned to regulatory and internal expectations. Key Responsibilities Risk Reporting & Metrics • Develop, maintain and articulate the Capital Markets risk profile, • Synthesize inputs across risk appetite metrics, KRIs, incidents, issues, control assessments, and emerging risks into a coherent risk view, • Ensure the risk profile reflects both current‑state exposure and forward‑looking risks, • Perform trend analysis and provide clear narrative and insights, not just data, • Monitor and report on risk appetite metrics, KRIs, and early‑warning indicators, • Develop clear, executive‑level narrative explaining:, • Why risks exist, • What is driving changes, • What management is doing about them, • Prepare risk profile materials for management committees and governance forums, • Support senior management in articulating the 1LoD view of risk during committee discussions, • Respond to challenge from 2nd Line Risk by providing evidence‑based rationale, • Support risk escalation processes, including identification of breaches and emerging risks, • Prepare materials for management committees (e.g., RMC, business management forums), • Track issues, action plans, and remediation progress tied to reported risks, • Partner with business leaders to understand risk drivers and data inputs, • Coordinate with 2nd Line Risk and Compliance to ensure alignment and effective challenge, • Maintain strong data governance and control discipline over risk reporting inputs, • Identify and remediate data quality issues, • Identify and assess emerging risks, including impacts from:, • Business changes, • New products or initiatives, • Regulatory developments, • Enhance dashboards and reporting to improve clarity, usability, and forward‑looking insight, • Contribute to the evolution of risk metrics, thresholds, and reporting standards, • Undergraduate degree in Business Administration, Risk Management, Economics, Finance and/or relevant background., • Minimum 5+ years of experience in banking or financial services, including exposure to 1st line internal control, in-business risk management, governance, and/or 2nd line risk subject matter roles, • Expertise in one or more risk and control areas, including but not limited to:, • Non-Financial Risk, • Market Risk, • Credit Risk, • Demonstrated understanding of Capital Markets Front Office products, services, and end-to-end business processes, • Excellent communication, collaboration, and relationship management skills across technical and non-technical stakeholders, • Knowledge of risk management, audit, compliance, and governance practices., • Knowledge of business and regulatory environment and related risk trends., • Strong planning, prioritization, and organizational skills., • Analytical and problem‑solving skills The salary range for this role is $125,000 up to $190,000 USD (subject to the candidate meeting the specific skills, experience, education, and qualification requirements) Salary: $81,400.00 - $151,800.00 Pay Type: Salaried The above represents BMO Financial Group’s pay range and type. Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position. BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: ___ About Us At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world. As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset. To find out more visit us at ___ BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law. BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to ___ and let us know the nature of your request and your contact information. Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

The Pre-Press Quality Control Technician is responsible for inspecting pre-press files at job initiation, throughout development, and prior to the plate-making stage to ensure all files are accurate, error-free, and properly formatted. This includes reviewing customer files, step-and-repeat layouts, and 1-bit TIFF output files to verify they meet all customer packaging specifications and quality standards. \n The salary range for this position is $50,000 to $65,000, commensurate with experience, education, and internal equity. This range is provided to ensure clarity and promote equitable access to employment opportunities. \n Areas of Responsibility: \n\n • Support and contribute to a safe and healthy work environment by adhering to all workplace regulations, policies, and safety initiatives, including promptly reporting all first aid incidents, accidents, and potential hazards.\n, • Maintain a clean, organized, and efficient work area in accordance with the 5S program.\n, • Collaborate with the supervisor and Packaging Engineer on critical projects, timelines, and any potential delays or issues.\n, • Perform detailed inspections of pre-press production files to verify spelling, text accuracy, ingredient lists, nutrition facts, UPC numbers and sizing, element positioning, and die lines in accordance with customer packaging specifications.\n, • Inspect pre-press output files (1-bit TIFF) to ensure they meet established quality standards and job requirements, including:\n\n, • Verifying output files against the production sheet for:\n\n, • Number of colors\n, • Repeat configuration\n, • Percent of distortion\n, • Round across\n, • Eyespot positioning\n, • Guideline placement\n, • Unwind direction\n, • UPC size\n, • Bar code reduction\n, • Line screen\n, • Color rotation\n\n\n, • Confirming proper trapping and pullback\n, • Reviewing images for clarity, defects, or imperfections\n, • Checking dot shape and consistency\n, • Redirect files to the appropriate personnel for corrections or revisions when issues are identified.\n, • Requires strong grammatic accuracy in English language for proof-reading\n, • Minimum qualification (Associate Degree, preferably in Graphics / Design)\n, • Exceptional Attention to Detail\n, • Strong communication abilities\n, • Computer Literacy\n, • Problem Solving skills\n

Sr. Distinguished Applied Researcher Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Key Responsibilities: * Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Basic Qualifications: * PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 8 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 10 years of industrial NLP research experience * Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Has worked on an LLM (open source or commercial) that is currently available for use * Demonstrated ability to guide the technical direction of a large-scale model training team * Experience working with 500+ node clusters of GPUs Has worked on LLM scaled to 70B parameters and 1T+ tokens * Experience with common training optimization frameworks (deep speed, nemo) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $311,900 - $356,000 for Sr. Distinguished Applied Researcher Cambridge, MA: $343,100 - $391,600 for Sr. Distinguished Applied Researcher McLean, VA: $343,100 - $391,600 for Sr. Distinguished Applied Researcher New York, NY: $374,300 - $427,200 for Sr. Distinguished Applied Researcher San Francisco, CA: $374,300 - $427,200 for Sr. Distinguished Applied Researcher Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher I Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Behavioral Models * PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) * Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR * Worked on scaling graph models to greater than 50m nodes * Experience with large scale deep learning based recommender systems * Experience with production real-time and streaming environments * Contributions to common open source frameworks (pytorch-geometric, DGL) * Proposed new methods for inference or representation learning on graphs or sequences * Worked datasets with 100m+ users * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model * Data Preparation * Publications studying tokenization, data quality, dataset curation, or labeling * Contribution to a major open source corpus * Contribution to open source libraries for data quality, dataset curation, or labeling Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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

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

Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications [choose correct set based on focus of role]: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Behavioral Models * PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) * Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR * Worked on scaling graph models to greater than 50m nodes * Experience with large scale deep learning based recommender systems * Experience with production real-time and streaming environments * Contributions to common open source frameworks (pytorch-geometric, DGL) * Proposed new methods for inference or representation learning on graphs or sequences * Worked datasets with 100m+ users * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model * Data Preparation * Publications studying tokenization, data quality, dataset curation, or labeling * Contribution to a major open source corpus * Contribution to open source libraries for data quality, dataset curation, or labeling Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II Cambridge, MA: $262,500 - $299,600 for Applied Researcher II San Francisco, CA: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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

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

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We’re seeking a future team member for the role of Associate, Treasury and ALM II to join our Corporate Treasury Interest Rate Risk team. This role is located in New York, NY – HYBRID. In this role, you’ll make an impact in the following ways: • Key contributor to the Interest Rate Risk team’s execution of the Corporation’s Net Interest Income (NII) monthly forecast process delivering results and attribution, and responsible for performing sensitivity analyses on both NII and Economic Value of Equity (EVE) in accordance with regulatory requirements, • Develops and produces interest rate risk reports and briefings for senior management and governance forums such as Asset Liability Committee (ALCO), highlighting operational activities/outcomes, identifying risks and recommending proposed solutions, • Maintains documentation and performs controls related to production activities including completing risk assessments and internal tracking and resolution of process improvements and control issues, • Partner with Treasury subject matter experts to ensure efficiency and appropriate execution of Corporate Treasury strategies, • Make and defend key trade-offs between model accuracy and complexity, in line with team’s overall strategic objectives, • Manages the collection, validation and analyses of financial data underpinning the Bank's interest rate risk framework, • Assist in ad hoc strategic risk assessments and analysis for senior management, • Bachelor’s degree or the equivalent combination of education and experience is required. Degree in math, engineering, statistics, computational finance, or economics preferred. Progress towards an MBA, FSA, FRM, CFA, or CPA/CA preferred, • Minimum of 2-3 years of work experience required. Experience in Corporate Treasury / Finance Management & Analysis / Planning & Analysis / CFO team in a financial services firm preferred., • Knowledge of balance sheet and financial instruments, finance / management reporting systems, and Net Interest Income / Expense calculations a plus, • Experience with interest rate risk management, and/or asset-liability management within large complex financial organizations preferred, • Strong organizational skills and proactive nature (expected to drive creative solutioning without significant guidance) At BNY, our culture speaks for itself, check out the latest BNY news at: BNY Newsroom BNY LinkedIn Here’s a few of our recent awards: • America’s Most Innovative Companies, Fortune, 2025, • World’s Most Admired Companies, Fortune 2025, • “Most Just Companies”, Just Capital and CNBC, 2025 Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $69,000 and $122,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs. This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors.

Senior 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 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. McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer New York, NY: $176,500 - $201,400 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).

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

Senior Lead AI Engineer (Remote-Eligible) 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. Capital One is open to hiring a Remote Employee for this opportunity. 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. New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

A well-established regional health system in New Yor is seeking an OBGYN to join a growing team due to retirement and increasing community demand. This is an excellent opportunity to join a collegial group in a stable, physician-friendly environment with strong support and modern infrastructure. Hospital Employee . Competitive Salary OR Income Guarantee. WRVU production incentives. Signing Bonus available, contact us for details. Relocation Bonus available. CME time and money available. Retirement plan provided. Paid Malpractice, Licensing and Dues, Generous Benefits, and more. Technologies, Models of Care, Procedures, and Treatment All Empowering the Physician Advancement!. Visa Candidates Welcome!.

A well-established regional health system in New York is seeking a Urologist to join a growing team due to increasing community demand. This is an excellent opportunity to join a collegial group in a stable, physician-friendly environment with strong support and modern infrastructure.Hospital Employee . Competitive Salary OR Income Guarantee. WRVU production incentives. Signing Bonus available, contact us for details. Relocation Bonus available. CME time and money available. Retirement plan provided. Visa Candidates Welcome to Apply!.

A well-established regional health system in New York is seeking a Psychiatrist (able to see adults and children) to join a growing team due to retirement and increasing community demand. This is an excellent opportunity to join a collegial group in a stable, physician-friendly environment with strong support and modern infrastructure.Hospital Employee . Competitive Salary OR Income Guarantee. WRVU production incentives. Signing Bonus available, contact us for details. Relocation Bonus available. CME time and money available. Retirement plan provided. See Children and Adults ER Consults Oversight of Detox Clinic Experienced Midlevels on Site. Visa Candidates Welcome to Apply!.

Sr Distinguished Applied Researcher (World Models) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Key Responsibilities: * Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Basic Qualifications: * PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 8 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * Behavioral Models * PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) * Member of technical leadership for model deployment for a very large user behavior model * Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR * Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems * Experience with production real-time and streaming environments * Contributions to common open source frameworks (pytorch-geometric, DGL) * Proposed new methods for inference or representation learning on graphs or sequences * Worked datasets with 100m+ users Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $311,900 - $356,000 for Sr. Distinguished Applied Researcher Cambridge, MA: $343,100 - $391,600 for Sr. Distinguished Applied Researcher McLean, VA: $343,100 - $391,600 for Sr. Distinguished Applied Researcher New York, NY: $374,300 - $427,200 for Sr. Distinguished Applied Researcher Richmond, VA: $311,900 - $356,000 for Sr. Distinguished Applied Researcher San Francisco, CA: $374,300 - $427,200 for Sr. Distinguished Applied Researcher Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

We are seeking a highly experienced Executive Chef to lead and oversee culinary operations within a fast-paced, high-volume airport environment. This role joins a large scale food and beverage company that spans multiple concepts and service points, serving millions of guests annually. The Executive Chef will be responsible for managing multi-unit kitchen operations, ensuring consistency, food safety, cost control, and high quality execution across a diverse portfolio. This is a hands on leadership role within a well established, globally connected organization known for operating across multiple international locations and delivering high volume hospitality in one of the busiest travel hubs in the region. Key Responsibilities: Culinary Operations & Production • Oversee all culinary operations across multiple airport food service outlets, • Develop and implement production systems to support high volume service, • Manage commissary production, batch cooking, and distribution processes, • Ensure consistency, speed, and quality across all kitchen operations, • Ensure full compliance with health, safety, and regulatory standards, • Lead health inspection readiness and audit performance, • Manage food and labor costs to meet financial targets, • Lead, train, and develop Sous Chefs and kitchen teams, • Build strong leadership pipelines and promote accountability, • Maintain high performance standards and kitchen discipline, • Ensure food is executed quickly and consistently for time sensitive travelers, • Lead kitchens through high volume service and operational challenges, • Manage staffing levels, scheduling, and peak service coverage Qualifications: • 5–7+ years of experience as an Executive Chef or senior culinary leader, • Proven success in high-volume, multi-unit kitchen operations, • Experience in airport dining, hospitality groups, or large-scale catering preferred, • Strong knowledge of food safety systems and regulatory compliance, • Experience managing food cost, labor, and inventory systems, • Excellent leadership, organizational, and communication skills, • Ability to thrive in a fast-paced, high-pressure, and operationally complex environment

Primary responsibilities include planning and executing events, with an emphasis on contributing to the overall creative, technical and logistical elements that help an event succeed (event design, build strategies, audiovisual production, networking, logistics, partner sourcing, partner management, asset management, budgeting, negotiation, and client service). The Event Manager will spend the majority of their time managing all aspects of the event production process, working as part of the team from event concept, to implementation, live show, to load out. The Event Manager should work effectively with both client and internal teams to flawlessly deliver event programs that drive client results against established strategic objectives, timelines and financial goals. The Event Manager should thrive under pressure, enjoy travel, and have a passion for event production and logistics. Responsibilities Include: • Contribute resources to proactively ensure high quality service delivery while striving for continuous improvement., • Responsible for following department protocols for event planning, • Follow project plan for each portion of implementation and holding external partners accountable, • Work with the Raiola internal team and external vendors in ensuring that all logistical needs for the event are understood and met., • Identify necessary vendor / partner support, and then source and manage accordingly, • Liaise with audio-visual partners with sourcing all needs and ensuring that they are appropriately incorporated into the overall event, • Assist with payments and processing, • Onsite point of contact for all aspects of production, • Utilize strong internal partnership skills while working cross-functionally with the team in order to ensure that the project is implemented with internal stakeholders as required, and that client vision and satisfaction is met, • Exhibit exceptional written and verbal communication skills with superb attention to detail, • Oversee the project budget, keeping track of expenses and updating the team on costs so that they can be communicated to the client as needed, • Ongoing reconciliation of all project expenses, including ensuring vendor invoices are accurate and paid, and client invoices reflect all approved event expenses, • Provide solutions for visual and spoken client presentation needs occasionally under high-pressure circumstances., • Provide immediate response to requests for assistance on events in progress., • All other duties as assigned. Skills + Personal Qualities: ● Great communication skills, written and verbal ● Team player ● Sense of humor ● Enjoys life and sees the beauty in helping others ● Must be comfortable in a small office, open plan setting ● Experience managing and directing corporate special events ● Working with budgets with multiple levels ● Demonstrate a high level of knowledge in large-scale corporate special events and productions ● Educated on the latest event technologies, with the ability to weave these in to event experience seamlessly ● Experience in managing labor crews ● Strong production competencies ● Well-developed project management skills ● Eye for detail and maniacal attention to delivering high quality, error-free deliverables ● Anticipates project needs and proactively delivers ● Builds solid and reciprocal relationships with designated client contacts and vendors ● Fosters trust and open/honest communication with the internal team and partners ● Gathers and analyzes program data to identify opportunities and make recommendations on strategy ● Knowledge of Microsoft Office products including Outlook, Microsoft Office and Keynote ● Ability to meet tight deadlines and work well under pressure. ● Strong organizational skills, time management skills and attention to detail required. ● Strong verbal and written communication skills. ● Ability to prioritize and manage multiple tasks/projects. ● Ability to work independently without supervision, be self-directed and demonstrate initiative. ● Ability to take direction without follow up. ● Ability to work collaboratively with others for whom you have no direct supervisory authority. ● Strong teamwork and team synergy skills required. ● Exhibit good judgment and decision-making skills. ● Availability and willingness to work extended hours, including nights, weekends, holidays and be on-call as necessary. PHYSICAL REQUIREMENTS • Capability to stand, kneel and/or crouch for long periods of time, • Capability to work in hot humid environments, • Capability to work in cold environments, • Capability to lift & move excess of 60lbs as is necessary in the normal flow of the day to day work load unassisted and lift and move 100lbs with assistance., • Assist in the loading of various vehicles with equipment. Please submit a cover letter, portfolio, and resume to . Cover letter should include a few sentences about a life experience that demonstrates your ability to manage your time while helping others simultaneously. Salary range $68,000- $75,000 per year plus benefits.

Job Title: Events Manager Location: New York, NY Industry: Non-profit Pay: $30 – $40 / Hour (depending on experience) Benefits: This position is eligible for medical, dental, vision, and 401(k). About Our Client Addison Group is partnering with our client, a mission-driven nonprofit organization dedicated to supporting community initiatives and delivering impactful programs. The organization is known for creating meaningful experiences that engage donors, partners, and the broader community. Job Description The Events Manager will oversee the planning and execution of large-scale events and donor-facing experiences. This role requires a highly organized professional who can manage multiple moving parts, build strong relationships, and deliver seamless events from concept through completion. Key Responsibilities Event Planning & Execution • Oversee full lifecycle event planning, from initial concept through post-event wrap-up, • Coordinate logistics such as venue selection, vendor partnerships, scheduling, and on-site execution, • Act as the main point of contact for vendors, sponsors, venues, and external partners, • Collaborate with internal teams and external stakeholders to ensure alignment on event goals, • Develop detailed timelines, production schedules, and event plans, • Monitor deadlines, deliverables, and budgets across multiple events simultaneously, • Support fundraising initiatives connected to events, including donor engagement activities, • Help design and execute high-quality experiences for donors and special guests, • Ensure events reflect the organization’s brand and mission Qualifications Experience: • 4–7+ years of experience managing events, preferably large-scale or multi-day programs, • Proficiency in Microsoft Office Suite (required), • Strong communication skills, particularly when working with high-level stakeholders, • Highly organized with the ability to manage multiple priorities, • Proactive, adaptable, and solutions-oriented, • Bachelor’s degree preferred Additional Details • Role may require travel depending on event schedule, • Flexibility needed for evenings or weekends during event execution Perks • Opportunity to lead high-visibility events and donor experiences, • Collaborative, mission-driven work environment, • Exposure to large-scale event strategy and execution, • Competitive hourly compensation and benefits eligibility Addison Group is an Equal Opportunity Employer. Addison Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Addison Group complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. Reasonable accommodation is available for qualified individuals with disabilities, upon request.

About: EMRG Media, an industry leader in the events industry is hiring. We are a New York based full service event planning, production, marketing and creative agency working with some of the biggest names in the world to ideate, create, plan and produce their events. Job Summary : We are seeking a highly organized and proactive Special Event and Marketing Manager to provide comprehensive support in various events and marketing initiatives. This role is ideal for someone who thrives in a fast-paced environment, working with high level clients and possesses a diverse skill set that includes event planning, organization, sales, marketing, design, client communication and production work. The Special Event and Marketing Manager will work closely with senior management and ownership. This position is an exciting opportunity for a passionate event professional who is looking for long term career growth. This position will allow you to utilize your skills in a dynamic environment while supporting key business functions. If you are passionate about event planning and looking for a company to call your home and develop a long term career while contributing to organizational success we encourage you to apply. The ideal candidate is a highly organized self-starter who is capable of working cross-functionally on the planning and the implementation of marketing projects. You will need to display versatility in order to handle ad-hoc projects as assigned. Job Description: We’re hiring a highly organized, smart, creative and proactive team player capable of working cross- functionally in both event planning, and creative design/ marketing to join our fast-paced NYC events team. You’ll support high-impact projects — from corporate to social events and marketing campaigns. What You’ll Be Doing: Administration and Office Tasks: • Assist team with clients, scheduling, contracts, outreach, email campaigns, maintaining events calendar, event logistics, event planning services and event production., • Keep client files and internal systems up to date and organized, • Manage follow-ups, spreadsheets, and office coordination Marketing: • Must have graphic and design experience, • Ability to create email campaigns, logos and overall creative designs using Adobe Illustrator, Canva and other modalities Event Coordination & Promotions: • Support live events from setup to breakdown, • Assist and work with clients, manage logistics and event needs, • Coordinate with vendors and team members, • Help promote in-house events like exclusive dinners, open houses, cocktail parties and The Event Planner Expo Writing, Content &/ Social Media: • Strong writing skills for social media, email updates, and client communications, • Must be confident using Adobe Creative, Illustrator, Canva to design social graphics, invites, logos, signage, and event decks, • Bonus if you can write blogs, event recaps, and such Requirements: • 2+ years in event planning and event sales, • 1–2+ years minimum in events, graphic design and administrative/organization experience, • Excellent written communication and attention to detail, • Strong Adobe Illustrator, Canva and social media content skills, • Tech-savvy and quick to learn tools like Eventbrite, Zoom, and Google Suite with the ability to pick up new things fast, • Team player with a “get-it-done” mindset — evenings and weekends required for events Compensation:: Base Salary + Performance Bonus + Holiday Bonus Job Type: Full-Time: Pay: $60,000- $80,000 per year Benefits: • Health Insurance, • Paid Time Off, • Performance Bonuses, • Shift Pays

Job Title: Event Manager V (Experiential Producer) Location: Burlingame, CA or New York, NY (Hybrid – minimum 3 days onsite) Duration: 12 months with potential extension Travel: 30–50% (Domestic + some international) We are looking for a highly skilled Event Manager / Experiential Producer to lead, execute, and scale world‑class product demonstrations and experiential activations for major industry, consumer, cultural, and partner events. This role sits within a global experiential marketing organization responsible for bringing emerging technologies, hardware, and software to life through immersive product experiences. You will collaborate closely with marketing, product, engineering, creative, and agency partners to deliver integrated demos that connect consumers, creators, partners, and enterprise audiences with innovative technology. You’ll work across high‑visibility stages from major cultural moments (sports, fashion, entertainment) to large‑scale industry events and proprietary conferences. Ideal background: • Produce and deliver large‑scale, complex experiential events and product demos across global B2B and B2C audiences, • Design and scale high‑impact product experience workstreams, including demo development, technical setup, experience flow, and onsite execution, • Provide creative production, logistics, and operational leadership from concept through execution, • Partner closely with internal cross‑functional teams to align on goals, messaging, creative strategy, and product integration, • Manage external agencies and vendors, ensuring seamless delivery, quality, and budget adherence, • Oversee staffing, onsite operations, demo deployment, and light technical troubleshooting, • Support development of playbooks, processes, and operational frameworks to scale experiential programs, • Lead post‑event reporting, data tracking, and metrics review for effectiveness, conversion, and satisfaction, • Travel 30–50% (domestic + occasional EMEA/APAC travel) to support onsite event execution Minimum Qualifications • 5+ years experience in experiential production, event management, or creative agency delivery, • Hands‑on experience producing large‑scale in‑person events (1,000+ attendees), • Strong program/project management capabilities with an operational mindset, • Experience delivering mixed‑format events: live, hybrid, and virtual, • Experience working cross‑functionally within large, matrixed organizations, • Experience managing budgets, vendors, schedules, and complex production workflows, • Excellent communication skills, including experience presenting to senior leaders, • Ability to interpret data, track performance metrics, and support post‑event reporting, • Comfort with emerging technology and light technical troubleshooting Preferred Qualifications • Experience with VR, AI, smart glasses, wearables, or emerging consumer hardware, • Global event production experience, • Strong understanding of the creative development process (creative briefs, assets, content needs, experience flow), • Experience working inside a Fortune 500 or large enterprise organization, • Experience delivering events across cultural verticals such as sports, fashion, entertainment, luxury, and gaming

Role Overview Food52 is looking for a highly organized and enthusiastic Test Kitchen Assistant to support our culinary production and content team. This role sits at the center of our kitchen operations—ensuring shoots run smoothly, ingredients are ready, and the kitchen stays organized and functional. The ideal candidate is passionate about food media, comfortable working in a fast-paced production environment, and excited to occasionally step in front of the camera. Key Responsibilities • Assist with recipe prep and ingredient preparation for video shoots and editorial projects, • Maintain cleanliness and organization of the test kitchen, including dishwashing and equipment upkeep, • Shop for ingredients and supplies, including grocery runs and specialty sourcing, • Prepare ingredients and equipment for video shoots and content production, • Maintain and organize kitchen equipment, tools, and pantry inventory, • Assist culinary talent during shoots and demonstrations, • Help with setup for recurring series such as Come and Get It, • Occasionally appear on camera in supporting roles when needed Qualifications • 1–3 years of experience in a professional kitchen, test kitchen, or food media environment, • Strong organizational skills and attention to detail, • Comfortable working in a fast-paced production environment, • Ability to multitask across kitchen prep and production needs, • Passion for food, cooking, and storytelling Nice to Have • Culinary school training or professional kitchen experience, • On-camera comfort or food styling experience, • Familiarity with food media or recipe testing workflows Schedule Hybrid schedule of 3-4 days per week in our office in the Brooklyn Navy Yard, but subject to change on a week to week basis depending on the needs of the business. Salary Range $55,000 - 57,000 The range provided is based on what we reasonably expect to pay for this job as of the time of posting. The actual salary offered will be determined based on multiple factors, including but not limited to the candidate’s relevant experience, job-related knowledge, skills, geographical location, and other job-related factors permitted by law. EEO Statement Food52 is proud to be an equal opportunity workplace, providing equal employment and advancement opportunities to all team members. We evaluate candidates without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics as required by law and as a matter of our company values.

Job Title: Brand Operations & Events Coordinator Location: New York, NY Contract duration: 9 Month contract with potential for extension or conversion Job Summary We are seeking a Brand Operations & Events Coordinator to support multiple luxury fragrance brands by coordinating day-to-day operational activities, brand initiatives, and retail events. In this role, you will manage product orders and inventory for programs and events, coordinate with vendors and retail partners, track budgets and purchase orders, and help organize brand training initiatives and retailer shows. You will also support project management efforts by maintaining timelines, gathering and organizing data for presentations and reports, and ensuring information flows smoothly between internal teams and field partners. Key Job Responsibilities: Assist with all Client Experience & Retail Excellence team initiatives by supporting the analysis, design, and development of programs by: • Order products on behalf of all brands: own order management, fulfillment, and nationwide delivery, • Manage nationwide gratis program each season and holiday gifts inclusive of pack outs, • Managing logistics associated with events and retailer shows including: timeline management, product ordering, attendance + RSVP management, • Manage the schedule of all active projects and meet deadlines, • Support communication with the internal team as well as field team: cascade information and field inquiries, • Cultivate and maintain relationships with cross-functional business partners and global partners• Create briefs for event invites and production materials as needed, • Support budget ownership: track spending, negotiate vendor costs, open purchase orders, process chargebacks Job Qualifications: • Prior experience with project management, planning and logistics required, • Strong Microsoft suite skillset required; Outlook, Excel, Powerpoint, • Ability to multi-task and manage multiple projects concurrently, • Strict regard for timelines, • Strong interpersonal and effective communication skills, • Proactive, highly organized, and detail-oriented Screening questions: Do you now or in the future require sponsorship (e.g. H-1B)? Y/N EEO and ADA Statement: Consulting Solutions and its family of companies is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. If you are a person with a disability needing assistance with the application or at any point in the hiring process, please contact us at:

About Atlas Print Solutions Atlas Print Solutions, is a full-service print production and design services agency with over 25 years of industry experience. Known for our exceptional customer service and expertise, we work with High-end Luxury Brands, Event Spaces, Major Retail Brands, Creative Agencies and Event Planners to bring their visions to life. Our dedicated in-house creative project managers and innovative solutions team, combined with our advanced production and installation capabilities, guarantee exceptional quality and environmentally sustainable graphic solutions. The Opportunity We’re looking for an Event Coordinator who thrives at the intersection of client experience, brand execution, and operational excellence. This is not a back-office role. You will be a key player in bringing high-profile events and brand activations to life, working closely with clients, creative teams, and vendors to ensure every detail aligns with the brand vision. You’ll help shape how luxury and retail brands show up in the world—while building the systems and workflows that make seamless execution possible. What You’ll Do Client Experience & Event Execution • Act as a key support partner to Event Project Managers on high-touch, client-facing projects, • Collaborate with clients and internal teams to bring brand visions to life, • Support event planning and execution across multiple markets, ensuring polished, on-brand delivery, • Help coordinate day-of logistics, vendor communication, and installation support when needed, • Research and source vendors that align with brand aesthetics and experiential goals, • Support RFP processes, vendor outreach, and creative production coordination, • Maintain strong vendor relationships and contribute to building a best-in-class partner network, • Own project workflows and ensure accuracy within Monday.com (CRM & project management), • Maintain clean, organized systems that support scalable event execution, • Manage timelines, task tracking, and cross-functional communication, • Support billing workflows, documentation, and coordination with accounting, • Track budgets, invoices, and vendor costs with a high level of accuracy, • Assist in building client recaps and performance reports, • Monday.com (project management & CRM), • Google Drive & Google Workspace, • FileMaker, • QuickBooks (in partnership with accounting), • Microsoft Office Suite, • Canva What You Bring • 4+ years of experience in event coordination, marketing, PR, or project management, • Strong client-facing experience with excellent communication and relationship-building skills, • A passion for branding, events, and experiential marketing, • Exceptional organization and attention to detail, • Ability to manage multiple projects in a fast-paced, high-expectation environment, • Experience with Monday.com or similar tools is a plus Nice to Have • Experience working with luxury, retail, or experiential brands, • Exposure to agency environments, events, or brand activations, • Familiarity with vendor sourcing, production, or installation logistics Why This Role is Exciting • Work on high-visibility events and brand activations, • Collaborate directly with top-tier clients and creative teams, • Be part of a growing division where you can shape processes and make an impact, • Gain exposure to both the creative and operational sides of experiential marketing Compensation & Benefits • $65,000 – $75,000 per year, • Health insurance, • Dental insurance, • Paid time off

Role Overview We are looking for an experienced Operations Coordinator to serve as the organizational backbone of our office. In this role, you will oversee the day-to-day functioning of our workplace, support our production teams, and ensure that staff — from full-time employees to freelance collaborators — have everything they need to do their best work. This is a hands-on, people-facing role that requires strong judgment, a proactive mindset, and a genuine commitment to keeping things running smoothly. Key Responsibilities • Manage procurement and inventory of office supplies, anticipating team needs and maintaining appropriate stock levels, • Plan, coordinate, and execute office activities and events, ensuring seamless logistics from start to finish, • Facilitate onboarding for new full-time and freelance employees, serving as a welcoming first point of contact and ensuring a smooth integration into the workplace, • Serve as the primary liaison with IT consultants, triaging issues and coordinating timely resolutions, • Oversee relationships with shared office service providers, including facilities, cleaning staff, and the on-site café, • Coordinate on-site operational support for production teams, including supply logistics and space management, • Manage ongoing job postings and conduct preliminary resume screening to support active hiring efforts, • Vet production assistant candidates and oversee staffing and scheduling of production assistants for events, • Coordinate production travel logistics, including accommodations, transportation, and itinerary management What We're Looking For • 5+ years of experience in office management, operations, or a related administrative role, • Exceptional organizational skills and the ability to manage multiple priorities simultaneously, • Strong interpersonal and communication skills; comfortable interfacing with staff at all levels as well as external vendors and contractors, • A proactive, solutions-oriented approach to problem-solving, • Proficiency with standard office and productivity tools, • Experience supporting creative or production teams is a plus Compensation • Base salary: $75,000-$85,000, commensurate with experience Prodject embraces and celebrates diversity, inclusivity, and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Prodject provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression. We aspire to have a diverse and inclusive workplace and strongly encourage qualified applicants from a wide range of backgrounds to apply and join our team!

The Account Executive will support our socks business for leading brands and accounts. They will interact daily with accounts and work with teams such as Brand Management, Production, Costing, Packaging, Operations, and Imports to help oversee all aspects of the business. This position is responsible for growing distribution and development for brands and accounts within their territory. Responsibilities: • Present line to accounts, communicate pricing, orders, and shipping timelines., • Review and provide overview of monthly and annual sales, margin, and inventory goals set for each account to achieve corporate financial goals., • Drive the execution of the allocation process and inventory management to assist in managing basic inventory levels to meet or exceed sales, gross margin and inventory goals., • Collaborate with buyers and Sales team on orders to ensure that all orders execute the approved shipping guidelines required by each customer., • Manage all aspects of inventory management to ensure we have the right amount of product coming in for each shipping month., • Prospect new accounts to drive business growth and new opportunities., • Collaborate with Merchandising team to review best and worst sellers, trends, and provide guidance for future sku plans and inspiration based off customer feedback., • Work with Production team to review costing to ensure margin goals are met and inbound shipment schedules to maintain customer deliveries., • Shop market for trend inspiration, competitor price-points and new to market items., • Maintain showroom organization and prepare showroom for meetings with accounts. Qualifications: • BA or BS preferred, • 3+ years’ wholesale experience, • Strong Excel skills, • SAP experience preferred, • Experience keying and prospecting new retail accounts preferred, • Ability to multitask, have a high sense of urgency, and work in a fast-paced environment, • Strong organization skills and attention to detail, • Strong presentation, verbal, and written communication skills, • Good judgment with the ability to make timely and sound decisions, • Ability to work both on a team and independently Annual salary range starting at $80,000+ The disclosed salary range is commensurate with experience and does not reflect the total compensation package. Our associates have access to other valuable benefits that our Human Resources team is happy to share with candidates during the interview process.

Position Overview The Print Associate supports the print development process from artwork creation through production readiness. This role works closely with CAD, mills, and internal teams to track artwork progress, maintain accurate records, and ensure print files are properly prepared for Encad printing and production. The ideal candidate is highly detail-oriented, organized, and interested in textile and print development. Key Responsibilities • Track customer artwork development requests and assist in preparing clear instructions for the CAD department, • Monitor Encad development progress, ensuring charts are updated daily, files are formatted correctly, and customer comments are communicated promptly, • Support open line print development by entering data into the MOD2 system, updating linesheets, communicating with mills, and following up on timelines, • Adjust files as needed to prepare for Encad printing, sample development, and production, • Rename, save, and organize files on shared servers according to internal naming conventions, • Review handoff sheets to ensure accurate entry of style numbers and artwork data, • Assign style numbers to new artwork and developments, enter information into MOD2, and organize documentation for the copyright process, • Order PFP fabric for Encad printing as needed, • Track swatch handling and maintain both physical and digital records, • Enter sales orders, fabric details, and production status updates into the MOD2 system, • Assist with color adjustments and simple design modificationsRequired Skills & Qualifications, • Strong attention to detail with excellent organizational skills, • Ability to manage multiple priorities in a fast-paced environment, • High level of accuracy with Excel data entry, • Willingness to learn MOD2 system (training provided), • Working knowledge of Adobe Creative Suite (Illustrator and Photoshop preferred), • Basic understanding of print and/or textile design processes, • Minimum 3 years of related experience Compensation - $58,000 to $62,000

Boutique US law firm is seeking an experienced IP litigation paralegal for their NY office. Seven-to-ten years' IP Litigation experience; Trial courtroom experience Expert knowledge with ECF filings and bluebooking In office requirements A Senior Paralegal assists attorneys, other paralegals, and litigation technology professionals in various litigation matters by playing a key role in supporting the firm's clients. This hands-on position provides support as an integral part of strategizing case files and process management through all stages of litigation. Availability for overtime and flexibility for travel are expected. Essential Job Functions • Oversight and management of all case files and logistics of a patent litigation, precomplaint through appeal, • Supervising, training, and collaborating with other paralegal staff, • Manage all aspects of eDiscovery/document production processes, including collection, tracking, quality control, service, and privilege logs with minimal supervision, • Work with attorneys to calculate and enter case/matter deadlines, • Review and collaborate with attorneys and other paralegal staff concerning the application of Federal and Local Rules, eDiscovery stipulations and/or Protective Orders, providing information and/or suggestions to attorneys, • Manage the processing of client confidential information, including for source code reviews, document productions, and coordinating associated client confidentiality/procedural requirements preferred, • Manage trial site logistics, setup, and pretrial deadlines, including the supervision of legal support personnel, ability to effectively delegate responsibilities and tasks among other, • College degree required., • Seven-to-ten years' IP Litigation experience, • Expert knowledge and/or strong familiarity with ECF filings, including the application of Federal and Local rules, • Proficiency with common legal research platforms, i.e. Westlaw, Lexis, etc., • Experience with active oversight, mentoring, and training of paralegal staff and their work product, • Expert at Bluebooking and legal and factual cite checking, • Complete understanding and management of the life cycle, logistics and components of a patent litigation, pre-complaint through appeal, • Knowledge and proficiency with appellate rules and procedures, including appellate briefing, compilation of appendices, and mandamus petition rules and procedures strongly preferred, • Trial courtroom experience, • Advanced knowledge, familiarity, or willingness to develop expertise relating to the management of United States Patent and Trademark Office Post Grant

The Work Operating System for the AI Era Reejig gives companies a complete, validated view of their work — mapping every role, task, skill, and workflow. With that intelligence, we redesign how work should flow, surface where automation creates the highest leverage, and enable our customers to deploy the right AI agents to make it real. Every change is measured and tied to operational impact. We're hiring people who want to be at the frontier of the way the world works — not watching it, building it. The Role AI is changing how work gets done. Most people are talking about it. A smaller group is actually building it — configuring agents, deploying workflows, and making AI real inside the companies that have committed to it. This role is for someone who wants to be part of that second group. As an Applied AI Workflow Builder, you'll work closely with our Customer team and enterprise customers to design and deploy agents into real working environments. CS owns the customer relationship and brings you the context: what the customer is trying to achieve, where their current work breaks down, the data sources, permissions, constraints, and workflows that define their environment. Your job is to take that context and build — configuring agents that work within it and getting from blueprint to live deployment. That starts with understanding the problem: what the customer is trying to achieve, where their current work breaks down, and where AI can create the most leverage. Alongside the customer work, you'll look across builds to find the underlying patterns — the common problems, the repeatable solutions, the agent designs that work across more than one environment. You'll generalise those into reusable templates and contribute them to a growing library, with clear enough guidance that another builder can connect their own data and adopt them. The goal is never a bespoke one-off. It's a solution that ships fast and scales across customers. This is an early-career role built for someone who wants genuine hands-on reps. Not just demos or pilots. You’ll design live AI deployments, inside real enterprise environments, at a company defining what it looks like to design work in the AI era. What You'll Do • Design & activate workflows with customers | Work with the Customer Success team to understand the real context of each customer engagement — the business problems, AI opportunities, data sources, permissions, constraints, and workflows that define their environment. Use that understanding to design AI workflows tailored to what customers actually need, build the agents across the tools customers use — Microsoft Copilot, ChatGPT, Claude, and other enterprise AI platforms, and support customers in deploying them into their own environment, • Turn every build into a reusable asset | After each activation, document what you built: the problem, the design, the agents, the build steps, the deployment guide, the metrics. Look across customer builds to identify the underlying patterns — the common problems, the repeatable solutions, the agent designs that transfer across environments. Abstract the specific into the general. Contribute to a library that other customers can adopt without starting from scratch., • Create content that teaches others to build | Record short video walkthroughs. Write practical guides. Make the builds accessible to the next person — whether that's another Reejig customer, a CS team member, or someone finding it through our community., • Help us build better from the inside | Participate in internal build sessions where we test workflows on ourselves before releasing them to customers. Identify friction points. Validate agents. Surface issues before they reach production. What We're Looking For You need to have actually built things with AI — and be able to prove it. The signals that matter: • Hands-on experience building AI workflows, automations, or agents. Doesn't matter which tools — ChatGPT, Claude, Microsoft Copilot, Make, Zapier, n8n, or anything else. Breadth signals genuine curiosity; we're tool-agnostic at hire., • Evidence that you document and communicate what you build — guides, tutorials, walkthroughs, content of any kind., • Comfort explaining technical work to people who aren't technical. Customer-facing experience of any kind is a plus., • Speed, resourcefulness, and ownership. You figure things out rather than waiting to be told. This role isn't right for you if: • You need complete specifications before you start, • You prefer to work in isolation without customer interaction, • Documentation feels like overhead rather than part of the job, • You want to study AI rather than deploy it Why You Want This Role Deploying AI agents inside live enterprise environments is one of the most in-demand skills in the market right now. Very few early-career roles offer genuine hands-on reps at this level, across this variety of real enterprise customers. You'll work directly alongside founders and a senior team. You'll contribute to a product that's reshaping how organizations operate. You'll build a portfolio of real activations — not demos, not pilots, live production deployments — at large enterprise businesses. Reejig also practices what it sells. You won't just deploy AI for customers — you'll work inside a company where AI-enabled workflows are the operating norm. The learning curve is steep. The growth is real.

Job Title: Packaging Designer Location: Manhattan NY 10038 Duration: 3 Months Job Type: Temporary Assignment Work Type: Hybrid(Must be 3 days in office) Pay rate: $42.00 - 46.00/hr. Overview: TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. The below job opportunity is to one of Our clients who is the world's largest intimates specialty retailer offering a wide assortment of modern, fashion-inspired collections including signature bras, panties, lingerie, casual sleepwear, swim and athleisure, as well as award-winning prestige fragrances and body care. Your Role • We are seeking an experienced freelance senior packaging/graphic designer to join the Beauty Design team. This role is hybrid with 3 days in office required and 40 hours per week. The Senior Designer is responsible for creating commercially viable product designs for our Body Fragrance category. We are looking for someone who is passionate about design and fashion/beauty trends. The design aesthetic and ability must be modern, feminine, glamorous and sophisticated to support our Victoria’s Secret brand voice. Why You Belong Here • We acknowledge your value. We recognize that every associate has something unique to add to our brand and business. We strive to recruit, retain, and advance diverse talent that reflects the customers we serve and the communities where we live and work. We foster a culture where everyone belongs because we know our business thrives most when we look for, listen to, and amplify diversity, equity, and inclusion., • We place the customer at the heart of everything we do. We dream big, embrace curiosity and creativity while always learning from our mistakes. We lead with integrity, trust, and respect to achieve the best outcomes as one team. Your Impact • Develop creative and appealing packaging concepts & designs for new seasonal personal care collections with meticulous focus on interpreting fragrances through the brand lens., • Ability to clearly communicate ideas with broader team., • Work closely with the design team to evolve & execute designs., • Ability to quickly interpret feedback and deliver timely revisions., • Be an idea generator, self-starter, and collaborative team-player., • Confidently work on fast-paced and high volume programs., • Passionate commitment to staying aware of fashion and beauty market trends., • Have an expert eye for color., • Deliver product designs and technical turnovers with speed, agility and acute attention to detail., • Clearly communicate with comp houses to produce accurate 3D prototypes., • Paces with the business with ability to quickly pivot on feedback and maintain a flexible mindset., • Ability to adapt to evolving priorities and embrace constructive feedback with a positive attitude. Your Experience • Bachelor’s degree in design, graphic arts, or equivalent experience., • 7+ years of design experience in a comparable packaging environment., • Strong portfolio showcasing a range of packaging/graphic design projects and concepts., • Career track record that shows strong ability to prioritize and manage multiple projects and to meet deadlines using excellent organizational skills, quality execution and attention to detail., • Proficient in Adobe Creative Suite (Illustrator, Photoshop, InDesign)., • Strong understanding of typography, color theory, composition, and layout principles., • Knowledge of print production processes and materials., • Proficiency in creating mock-ups and prototypes to visualize packaging concepts., • Collaborative partner with a team-oriented approach., • Excellent communication skills and the ability to present ideas effectively., • Knowledge in, and passion for, current trends in design, beauty, and fashion., • Upholding standards of personal professionalism and accountability., • Must be comfortable working a hybrid schedule in our New York City office. TekWissen® Group is an equal opportunity employer supporting workforce diversity.

An internationally recognized, AmLaw 100 firm with a top-tier Product Liability and Product Life Cycle practice is seeking an Associate (3–5 years) to join its New York office. The team advises and represents industry-leading companies across cutting-edge sectors including technology, automotive and autonomous vehicles, medical devices, consumer products, and pharmaceuticals. The practice handles complex product liability litigation and provides strategic counsel to clients at every stage of the product life cycle. Responsibilities • Handle product liability litigation matters as part of a collaborative team, • Draft briefs, correspondence, and responses to written discovery, • Conduct depositions, oral arguments, and expert interviews, • Manage document collection, review, and production, • Support causation and failure analysis in complex product matters, • Assist with multidistrict litigation and coordinated proceedings Qualifications • 3–5 years of experience in product liability litigation at an AmLaw 200 firm, • Experience drafting motions, briefs, and handling written discovery; conducting depositions and working with experts, • Familiarity with multidistrict litigation or coordinated proceedings is preferred, • Strong written and oral communication skills with excellent case management abilities, • JD from an ABA-accredited law school with a strong academic record, • Admission to practice in New York Benefits • Base Salary: $260k - 365k, • Professional development support including mentorship and training, • Comprehensive medical, dental, and vision coverage, • Global wellness program, including free access to health care advocates, Employee Assistance Program, and various well being apps, • Flex Time Away and reduced schedule arrangements, • 401(k) retirement plan, • Generous paid time off and recognized holidays If you are interested in this position, and you meet the requirements of the role, please click “apply now” to forward an up-to-date copy of your resume. Alternatively, if you would like to discuss this opportunity further, please contact Naomi Griffith for a confidential discussion. Our advertisements use salary and experience as a guide only. Interlink Recruitment is an equal opportunities employer. Due to the high volume of applications, only shortlisted candidates will be contacted.

The Research Project Coordinator provides support for ARF Councils and the Research Leadership Committee, while also assisting the Research team with research projects. ARF Councils are member-led and ARF-facilitated peer groups formed around broad industry topics. The role requires exceptional organizational, time management, and communication skills, and the ability to develop relationships and execute projects with both internal and external stakeholders. With some experience, this role will also contribute to the execution of research projects, data analysis, and the generation of insights. Primary Responsibilities -Work closely with VP Research to ensure the Council and Research Leadership (RLC) Programs run smoothly. • To this end, this position will actively monitor program engagement and member participation in the Council and RLC programs., • Schedule meetings for and provide administrative support for these programs., • Record and transcribe meeting notes and use AI facility to summarize these meetings when needed or ensure meeting notes are completed by the Council’s Young Pros Officers., • Update the CRM system to record changes in Council and RLC membership., • Consult regularly with the VP of Research on issues related to member engagement with the ARF Council Program and project tasks for the RLC., • Outreach to prospective new Council Committee members and communications with wavering Council Committee members. -Manage the development of Councils’ podcasts and maintain them on the public podcast platforms. -Become proficient in the use of LLMs and help to create a process that improves the efficiency of event reporting. -Coordinate research projects and presentations, assisting in the creation of reports. • Ensure research materials, reports, and presentations are well-organized and accessible to relevant stakeholders., • Maintain organized records of research participants, surveys, and data collection efforts., • Assist in the production of research presentations and slides for Council events., • Manage incentives for respondents in Research Dept. survey projects., • Track and update research project progress, maintaining documentation and ensuring timely follow-ups with stakeholders. Qualifications • Excellent academic credentials; BA/BS min, • 1-3 years of project coordination experience; ideally in the research or media industry, • A demonstrated ability to build and maintain professional relationships, • Strong interpersonal and communication skills and ability to work well on a team, • Excellent verbal & written communication skills, • Strong skills with Microsoft Office applications (Word, Excel, and PowerPoint) and Google Apps (Gmail, Google Docs and Drive), • Experience coordinating research projects, • Familiarity with AI tools for research and insights is desirable To apply, please send your resume to .

A-V Services Inc., a leading Audio/ Video company with multiple fortune 100 contracts within the financial, pharmaceutical and computing industries, seeks a skilled and customer-focused Office Administrator. Summary of Position The Onsite Administrator for AV Services, Inc. provides administrative and data management support to the Regional and On-Site Management Team in a fast-paced event production environment. This role is responsible for maintaining data continuity across billing, expenses, timekeeping, and reporting by auditing, tracking, and reconciling operational data. The ideal candidate has strong attention to detail and proficiency with data tracking and reporting tools such as Excel, PowerPoint, Smartsheet, and monday.com. Objectives • Support the AVS Regional Lead Manager by completing billing audits, expense tracking, and reporting related to Metro Region event production data., • Coordinate, store, and maintain documentation and trackers for deliverables, billing/expenses, consumables, and time-related data, including:, • Uber/expense/rejected cost center trackers, • Deliverables progress trackers, • Time allocation and utilization data, • Management reporting templates and standardized formats Role & Responsibilities • Report directly to the AVS Regional Lead Manager., • Maintain and audit key operational data sets, including EMS audits, Uber/expense/rejected cost center trackers, timesheets, and utilization summaries., • Provide weekly summary reporting to oversight, highlighting critical data points, exceptions, and required follow-ups., • Track and report missing RFBs to oversight to support compliance requirements., • Coordinate and schedule interviews with prospective technicians and management; maintain scheduling status and required documentation., • Coordinate and support completion reviews for quarterly PMRs, technician assessment forms, and set-up operations meetings, including completeness and accuracy checks., • Maintain inventory records and support compliance tracking., • Maintain and clean data within multiple platforms and approved data storage locations in accordance with firm standards., • Prepare BCP form inputs by gathering required operational data (e.g., event schedule, technician coverage, daily counts) and compiling it in the required format., • Gather and organize data for business reviews and other operational meetings, ensuring consistency across reporting periods. Qualifications & Skills • Demonstrated reliability, strong time management, and organizational skills., • Prior experience in billing support, administrative support, and/or office management., • High attention to detail and demonstrated ability to perform data reviews for completeness and accuracy., • Proficiency with Microsoft Office and office productivity tools, including:, • Excel (required), • UKG/Ultipro/UKG Workforce (UKG) (preferred, if applicable), • Smartsheet (preferred), • PowerPoint (preferred), • Monday.com (preferred) Requirements • Ability to work in a fast-paced event production environment and respond to time-sensitive, in-the-moment requests., • Ability to communicate professionally, including during high-priority or time-sensitive situations., • Ability to organize, maintain, and control documentation using established processes, including version control and standardized templates., • Ability to use required business tools and systems, including Microsoft Office; SharePoint access and usage, as applicable., • Ability to maintain discretion and handle sensitive information appropriately. Full Time Position has benefits including employee stock ownership plan (ESOP), competitive and comprehensive health insurance, life insurance, dental program, 401k, 401k company contribution, short-term and long-term disability insurance, FSA, HRA, Commuter Benefit Card, full paid vacations, and paid holidays. Join Our Diverse and Inclusive Team! At AV Services Inc. we are committed to fostering an inclusive and diverse workplace where every team member is valued and empowered. We are proud to be an equal opportunity employer, welcoming all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, or any other characteristic that makes you unique. Our Commitment to Diversity and Inclusion: Our employees are our greatest asset, and we believe that the diverse perspectives and experiences they bring are key to our success. We celebrate and encourage differences in age, ethnicity, family or marital status, language, physical and mental abilities, socio-economic status, and more. These unique attributes contribute to our vibrant culture, enhance our reputation, and drive our achievements. Why Work With Us? • Inclusive Culture: We embrace diversity in all its forms and are dedicated to creating an environment where everyone feels respected and valued., • Empowerment: We support our employees' growth and self-expression, recognizing that their individual talents and innovations are vital to our success.

TWP is seeking a Fabric Coordinator to support the end-to-end sourcing and development of fabrics and linings. This role is responsible for maintaining PLM systems, tracking fabric orders and inventory, and serving as a liaison between design teams, vendors, and production. The Fabric Coordinator will maintain fabric libraries, ensure quality standards are met, monitor inventory levels, and support adherence to production calendars to meet key deadlines. Key Responsibilities (including but not limited to) • Partner with the Director of R&D Materials to research, develop, and source knit and woven fabrics., • Maintain internal PLM systems, WIP charts, and design/development line sheets., • Track fabric orders, shipments, and inventory levels to prevent delays in development or production., • Oversee quality control by reviewing and pre-approving lab dips, strike-offs, and approval cuttings., • Maintain both digital and physical fabric libraries, ensuring PLM systems and fabric data are accurate and up to date., • Coordinate required samples and documentation for production handoff., • Manage and maintain all in-house sample inventory processes and tracking., • Maintain seasonal and inventory fabric boards and support swatching needs., • Assist with color matching linings to corresponding self-fabrics. Qualifications • Bachelor’s or associate degree in a related field., • 2–3 years of experience in fabric development, apparel production, or apparel sourcing preferred., • Proficiency in Microsoft Office and Google Workspace preferred., • Strong communication skills, meticulous attention to detail, and effective time management skills., • Ability to work independently and adapt in a fast-paced environment., • Strong work ethic, positive attitude, and team-oriented mindset.

Part of the Interparfums group founded in 1982, Interparfums USA develops, manufactures and distributes prestige fragrances as the exclusive worldwide licensee for Abercrombie & Fitch, Anna Sui, David Beckham, DKNY, Donna Karan, Graff, GUESS, Hollister, MCM, Nautica, Oscar de la Renta, Roberto Cavalli, Salvatore Ferragamo and Ungaro. Through its global distribution network, the Company’s products are sold in over 120 countries. The Project Manager, Change & Regulatory Initiatives is responsible for managing and ensuring the successful execution of regulatory-driven and product-related changes within the operations organization by planning, implementing, and monitoring initiatives to ensure smooth transitions. As part of the New Product Development team, which oversees the end-to-end product lifecycle, this role focuses specifically on changes impacting existing product lines, including reformulation, compliance updates, and adjustments to filling, packaging, and production processes. This role involves full ownership of projects by working closely with regulatory, product development, operations, and marketing teams. This position is based in office from Mondays-Thursdays, and remote on Fridays. Key Responsibilities • Manage all aspects of the product development lifecycle, from ideation to realization, including conception, engineering, new tooling, color development, production, and filling/assembly, • Define project scope, goals, and deliverables in collaboration with key stakeholders, • Set deadlines, track progress, and provide project updates for company-wide visibility, • Manage multiple concurrent projects across various stages of the product development cycle, • Collaborate with cross-functional teams to control project changes, mitigate risks, and ensure accountability for deliverables, • Lead weekly Operations Meetings, maintaining project timelines and trackers for key stakeholders, • Foster clear and timely communication across cross-functional teams, • Assess project risks and identify process improvement opportunities, implementing actionable plans as needed, • Escalate and communicate critical project issues, next steps, and resolutions to team members and management, • Oversee communication channels, ensuring that cross functional stakeholders are informed about changes and engaged throughout the process Education/Experience • Bachelor’s degree in related field, • 3+ years of project management experience, with prior working experience within fragrance or cosmetic industries required, • Regulatory experience preferred Required Skills • Comprehensive knowledge of project management tools and best practice, • Experienced in leading organizations through all phases of change, from preparation and execution to assessment and monitoring., • Self-starter with the ability to thrive in a fast-paced, dynamic environment., • Strong organizational and time-management skills with the ability to handle multiple priorities, • Confident communicator with excellent presentation skills, capable of delivering project updates to senior leadership We Offer • The salary range for this position is $100,000 – $110,000 annually, commensurable with skills, experience, and qualifications, • Bonus opportunity based on personal and business performance, • Robust healthcare, insurance, and benefit options, • Paid time off policies including vacation, personal, holiday, and sick days, • 401K plus company match, • Options to support development, including complimentary access to LinkedIn Learning, • An entrepreneurial career with a dynamic environment where all voices are heard and appreciated, • Low hierarchy with high visibility to C-Suite on a regular basis, • A growing company with a proven track record of solid financial stability Interparfums USA, LLC is an Equal Opportunity Employer and is committed to providing fair and equitable employment opportunities in compliance with all applicable federal, state, and local laws.

The Kasper Group is an apparel industry leader, offering women wardrobe solutions for their wear-to-work and special occasion dressing needs. Driven by excellence and exceptional talent, The Kasper Group has remained a forerunner in fashion for over 30 years. We are committed to delivering iconic brands (Kasper, Anne Klein, LeSuit, Kenneth Cole), relevant fashions and trusted, quality products to our consumers. So be a part of the exceptional talent! The Kasper Group is currently seeking a Color Assistant. This role is responsible for the day-to-day organization and follows up of samples for various private label accounts. Responsibilities include, but are not limited to the following: • Managing color standards & maintaining color library, • Updating color information in PLM (Centric), • Communicating with partnering teams and overseas mills in regards to color standards, lab dips, strike-off’s, • Managing the organization of l/dips & s/off’s, • Managing the time/action calendar within the color department, • Support the Colorists with daily tasks for multiple brands, • Maintain library of all items together so they will match the color standards; keep seasonal filing system; set up seasonal color approval cards., • Provide tracking, follow up and records for the color approval process., • Regular communication with product development and textiles to maintain approvals in a timely manner., • Able to judge tolerance in shade lots and point out side-to-side shading, • Work in a fast paced environment To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • Bachelor’s degree in Textile Design or related field (studied color theory), • 1-2 years related experience or relevant internship experience, • Familiar with color language/ vocabulary used when communicating with mills., • Understand prints with knowledge of how to pitch prints, print screens, color windows for prints and engravings., • Experience in approval of lab dips/ print strike offs, desk looms, yarn dyes for bulk production, comments are precise and clear., • Knowledge of industry/fabric/color/testing standards. Salary Range: $50K-$60K *Actual base salary for this role within the above range will be based upon experience, qualifications and/or assigned unit. We are an EEO/Affirmative Action Employer. All qualified applicant swill receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status.

Mama’s Creations, Inc. (NASDAQ: MAMA) is a leading marketer and manufacturer of fresh deli prepared foods, found in over 8,500 grocery, mass, club and convenience stores nationally. The Company’s broad product portfolio, born as MamaMancini’s, from a rich history in Italian foods, now consists of a variety of high quality, fresh, clean and easy to prepare foods to address the needs of both our consumers and retailers. Our vision is to become a one-stop-shop deli solutions platform, leveraging vertical integration and a diverse family of brands to offer a wide array of prepared foods to meet the changing demands of the modern consumer. For more information, please visit . We have an excellent opportunity for a highly skilled and experienced leader to serve as the Senior Director, Plant Operations of our East Rutherford facility. You will be the senior site leader responsible for the overall performance, safety, Grandma Quality, controls, culture, and financial results of the manufacturing facility. This role serves as the plant’s general manager, accountable for translating enterprise strategy into consistent, disciplined execution with excellence at the site level. The Senior Director leads through people, systems, and standards, ensuring production, FSQA, maintenance, warehousing, and workforce leadership operate in alignment with Grandma Quality. This role balances results with responsibility, honoring Mama’s heritage while building scalable, sustainable operations. Key Responsibilities • Own end-to-end plant performance, including safety, food safety, quality, service, cost, labor efficiency, and employee engagement., • Own overall plant efficiency and throughput performance, ensuring production capacity, labor models, and operating practices support enterprise targets., • Drive improvement in throughput, yield, and line performance by setting expectations, removing barriers, and holding leaders accountable for results., • Serve as the strategic leader for the site, translating enterprise priorities into clear site-level strategies, initiatives, and execution plans., • Partner with the Senior Manager, Production Operations to ensure production schedules and execution plans support optimal efficiency and service outcomes., • Own the plant operating budget, including labor, overtime, supplies, and controllable costs; ensure performance aligns with financial targets., • Balance cost discipline with Mama’s commitment to Grandma Quality, safety, and employee well-being., • Use KPIs and financial data to evaluate performance, prioritize investments, and guide decision-making., • Partner with OpEx/CI to identify and sponsor continuous improvement initiatives that deliver measurable, sustainable gains in efficiency, throughput, and cost performance., • Ensure efficiency gains and cost improvements are sustainable and embedded into standard work and leadership routines., • Lead, coach, and hold accountable all direct reports, site functional leaders, and the downline., • Serve as the primary owner of plant culture, reinforcing values-based leadership, respectful supervision, and consistent accountability., • Ensure site execution aligns with enterprise standards of excellence and Grandma Quality while addressing location-specific risks and opportunities., • Partner with FSQA leadership to maintain strong food safety culture, regulatory compliance, and audit readiness., • Own site-level labor strategy, workforce planning, and performance management in partnership with People Operations., • Drive operational discipline through KPIs, operating practices, and structured problem-solving., • Partner with Reliability & Asset Management to support uptime, preventive maintenance execution, and capital improvements., • Support capital projects, expansions, and equipment installations at the site level., • Participate in operational diligence and integration activities related to acquisitions or expansions impacting the facility., • Serve as the primary escalation point for site risks, performance gaps, and employee relations matters., • Build strong cross-functional relationships that nurture trust, accountability, and pride in workmanship., • Collaborate closely with Senior Directors and plant leaders at other facilities to share best practices, standardize where appropriate, and drive enterprise-wide operational improvement., • Participate in cross-facility working groups, initiatives, and problem-solving efforts to strengthen consistency, performance, and scalability across the enterprise., • Champion collaboration between facilities while respecting site-specific strengths, constraints, and heritage., • Other related tasks, as necessary to drive results and support the business. Qualifications • Bachelor’s degree in Operations Management, Engineering, Business, or related field; or equivalent experience., • 15+ years of progressive leadership experience in manufacturing operations, preferably in food manufacturing or regulated environments., • 10+ years of experience leading multi-shift operations and managing leaders (managers/supervisors)., • Demonstrated experience owning site KPIs, budgets, labor planning, and operational performance improvement., • Expert usage of ERP systems. NetSuite preferred., • Strong working knowledge of food safety/regulatory environments (USDA/FDA), HACCP, GMPs, and audit readiness expectations., • Proven ability to lead through change while maintaining operational stability and culture., • Strong communication, planning, and cross-functional leadership skills., • Lean/Six Sigma knowledge/certification, preferred., • Bilingual (English/Spanish) highly preferred. Essential Physical Requirements • Ability to regularly walk, stand, and move throughout the manufacturing facility., • Ability to navigate stairs, catwalks, and uneven surfaces safely., • Ability to visually and audibly observe operations and employee practices., • Ability to wear required PPE (hair/beard nets, safety shoes, gloves, safety glasses, hearing protection)., • Ability to work in varying environmental conditions (heat, cold, noise, humidity)., • Ability to sit for extended periods while performing administrative work., • Ability to travel locally as required., • Ability to communicate clearly and effectively. We offer a comprehensive compensation package that includes a base salary (to $185k,) plus bonus eligibility, paid time off, holiday pay, medical, dental, vision, and life insurances, FSA, EAP, and 401(k.) Applicants should submit a resume to for immediate consideration.

Katten is a full-service law firm with nearly 650 attorneys in locations across the United States and in London and Shanghai. Clients seeking sophisticated, high-value legal services turn to Katten for counsel locally, nationally and internationally. The firm’s core areas of practice include corporate, financial markets and funds, insolvency and restructuring, intellectual property, litigation, real estate, structured finance and securitization, transactional tax planning, private credit and private wealth. Katten represents public and private companies in numerous industries, as well as a number of government and nonprofit organizations and individuals. Pitch and Proposal Specialist The Pitch and Proposal Specialist (Specialist) supports the firm’s business development and growth initiatives by contributing to the development of timely, high-quality and competitive pitches and proposals. This role works closely with attorneys and members of the Business Development and Practice Support teams to develop customized client-facing materials, including pitch books and presentations, responses to requests for proposals (RFPs), highly targeted pitch documents, and representative matter lists. The Specialist also supports experience management and client intelligence efforts by maintaining accurate matter data, drafting compelling experience descriptions, and assisting in the preparation of research and reporting related to prospective and existing clients. The position requires strong writing and organizational skills, attention to detail, sound judgment, and the ability to manage multiple deadlines in a fast-paced environment while maintaining strict confidentiality. Essential Duties and Responsibilities include, but may not be limited to, the following. Other duties may be requested and/or assigned. Essential functions are primary job duties that an individual must be able to perform successfully with or without a reasonable accommodation. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Pitch and Proposal Support • Support the development of pitches and proposals from intake through submission., • Assist in preparing responses to RFPs, RFQs, RFIs, and client compliance surveys., • Draft and edit proposal content, including executive summaries, cover letters, tailored capability descriptions, standardized responses and attorney biographies., • Prepare customized pitch books and qualification statements in Word, PowerPoint and digital formats., • Serve as project manager for assigned pitches and proposals, developing timelines, tracking deliverables, proactively following up with contributors, and ensuring on-time, complete submissions., • Ensure adherence to brand standards and document quality across client-facing materials., • Track active proposals and update status information in the firm’s project management system., • Coordinate production and formatting of materials, including electronic and print deliverables., • Coordinate the design and production of specialty pitch materials with the Creative Services team., • Maintain and update proposal content libraries, including standardized RFP responses and archived pitch materials., • Track and update pitch and proposal outcomes within internal systems to support reporting and performance analysis., • Prepare and lead the monthly reporting process summarizing pitch and proposal activity, outcomes, and related metrics., • Contribute to ad hoc proposal and content initiatives as needed., • Ensure that all proposal materials are handled securely and in compliance with firm policies and confidentiality standards., • Communicate proposal progress and potential issues to the Senior Pitch and Proposal Manager. Experience Management • Collaborate with the Senior Marketing Technology & Experience Specialist to support the capture, maintenance, and accuracy of the firm’s experience data., • Draft and revise clear, compelling matter descriptions for use in proposals and other client-facing materials., • Work with attorneys and Practice Support team members to gather and verify matter information., • Support maintenance of client permissions lists and outside general counsel requirements., • Enter and update proposal content within firm systems, coordinating with the Senior Marketing Technology & Experience Specialist to ensure accuracy and consistency. Client Intelligence • Conduct research on prospective clients and contacts to support pitches, proposals, and business development initiatives., • Prepare client intelligence summaries and background materials for attorneys and Marketing & Business Development team members in advance of meetings and pursuits., • Generate and distribute ERM/CRM reports, including client relationship data and contact information, to support business development efforts., • Support additional marketing and business development initiatives as assigned by the Director of Client Intelligence., • Serve as project manager for the bi-monthly internal business development newsletter, coordinating content collection, managing production timelines, and overseeing distribution to support internal education. Knowledge, Skills and Abilities • Bachelor’s degree in Marketing, Communications, Business, or a related field required; three to five years of marketing and/or business development experience, ideally within a legal or professional services firm., • Demonstrated experience supporting and drafting responses to RFPs and other competitive proposals., • Strong writing, editing, and proofreading skills, with the ability to synthesize complex information into clear, client-focused messaging., • Strong project management skills and ability to drive multiple concurrent workstreams to meet firm deadlines., • Ability to analyze proposal requirements and identify required content and contributors., • Proficiency in Microsoft Office Suite (Word, Excel, and PowerPoint); experience working with ERM/CRM and content management systems preferred., • High level of attention to detail and commitment to accuracy., • Ability to communicate effectively and diplomatically with attorneys and other business professionals., • Demonstrated analytical skills and ability to gather, organize, and synthesize information from multiple sources., • Ability to work independently while collaborating effectively within a team environment., • Sound judgment and discretion in handling confidential and sensitive information., • Flexibility to work additional hours as needed to meet proposal deadlines. In our New York office, the annualized salary range for this position is $90,000 to $110,000. Actual pay will be adjusted based on experience and other job-related factors permitted by law. We offer an outstanding benefit package which includes: medical/dental/vision, 401k with employer contribution, parental leave, transportation fringe benefit program, back-up care option, generous paid time off policy and long-term and short-term disability policies. Katten Muchin Rosenman LLP in an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.