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

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).

Manager, Credit Analytics Location: (NYC) Hybrid The Role This role will have exciting opportunity to learn and drive significant business results through optimizing our credit risk underwriting and pricing strategies. These strategies include, but not limited to, approval/decline, loan amount assignment, term, pricing, and risk appetite framework optimization to drive healthy revenue growth, loss mitigation, and streamlining of processes in support of better profitability and healthy lending portfolio. We are looking for new team members who are excited about creating, designing and implementing new and better solutions to our business challenges with limited supervision. This role will have chance to pull the data, conduct deep analysis and investigation, apply critical thinking skills, draw insights from their work and leverage general business acumen to understand the customer behavior and develop profitable business strategies in a timely and accurate manner. The successful candidate will be able to summarizes their work and communicates effectively to management. Working with various partners, the role will also have responsibilities of reporting, strategy implementation, strategy validation and ad-hoc analyses including customer segmentation, competitive analysis, sensitivity analysis and modeling, and performance read. A successful candidate will expand their competencies and grow their business and industry acumen, as well as demonstrate the ability to work on complex processes or projects across the end-to-end project cycle. They will gain knowledge to suggest new answers to old questions, develop insights and push the traditional boundaries of the lending industry. Key Responsibilities: * Under your manager’s limited guidance, you will design, recommend, document and execute consumer credit underwriting and pricing strategies via extracting and analyzing requisite historical customer performance data from multiple disparate systems. * Utilize data query tools (i.e., R, SAS, SQL, MATLAB, Python) and decision tree analytical software to develop, test and execute new strategies. * Leverage traditional regression model and machine learning algorithm to understand the key drivers and estimate customer behaviors by different strategy treatment * Drive profitable business growth via developing strategy optimization framework with full credit-cycle view * Implement Quality Control processes to ensure data accuracy. * Continually enhance existing processes and reporting through automation, quality control, presentation and insights. * Effectively summarize and present results and insights to management. Qualifications: * Bachelor Degree (Graduate Preferred) in a quantitative discipline, such as Engineering, Statistics, Economics, Business Management or Computer Science is preferred. * 5+ years of experience in complex, data-driven problem solving. Master’s or PHD degrees may offset experience. Who we Are OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, we’ve looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future. Driven collaborators and innovators, our team thrives on transformative digital thinking, customer-first energy and flexible work arrangements that grow lives, careers and our company. At every level, we’re committed to an inclusive culture, career development and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. There’s never been a better time to shine with OneMain. Because team members at their best means OneMain at our best, we provide opportunities and benefits that make their health and careers a priority. That’s why we’ve packed our comprehensive benefits package for full- and some part-time employees with: * Health and wellbeing options including medical, prescription, dental, vision, hearing, accident, hospital indemnity, and life insurances * Up to 4% matching 401(k) * Employee Stock Purchase Plan (10% share discount) * Tuition reimbursement * Paid time off (15 days vacation per year) * Paid sick leave as determined by state or local ordinance, prorated based on start date * Paid holidays (11 days per year, based on start date) * Paid volunteer time (3 days per year, prorated based on start date) Target base salary is $120,000-$160,000, which is based on various factors including skills and work experience.

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s Degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $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).

Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology) 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. Enterprise Platforms Technology (EPTech) comprises many of Capital One’s most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. 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. McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer 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).

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).

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).

Join us in making a difference in the early detection of hearing loss in newborns as a Newborn Hearing Screen Technician! As a newborn hearing screen technician, you will provide hearing screens in the hospital after a baby is born. You will work on-site at one or more hospital locations to screen newborns for hearing loss. At Pediatrix, you will receive on-the-job training. This includes annual certification accredited by the American Academy of Audiology. By offering this certification, we strive to ensure our employees are adept in improving early detection of hearing impairments and encouraging timely intervention. NYU LANGONE MEDICAL CENTER On a typical day, you will conduct newborn hearing screens, usually in a new mom's hospital room, and help educate parents about the importance of the screen using video and printed tools we provide. You will also be in charge of entering patient data and validation of hearing screens, as needed. Additional responsibilities may include helping to confirm or reschedule outpatient appointments, following up on any equipment issues and training new staff. • Performing newborn hearing screens, • Verifying insurance information with parent/guardian, • Documenting hearing screen results accurately, • Following protocol for timely submission of billing, • Following protocol related to security and identification of infants, • Following infection control, safety awareness and other hospital, company, and program policies, • Recognizing potential problems and obtaining assistance, when necessary, in a timely manner, • Completion of company and hospital orientation or classes, including patient privacy training, • Completion and maintenance of employee health requirements Minimum Qualification/Education Level: • High school diploma or general education degree (GED)., • Experience working with infants preferred, • Excellent communication and interpersonal skills, • Computer proficiency and ability to perform accurate data entry, • Ability to prioritize daily tasks and assignments, • Ability to work both independently and as part of a team, • Flexibility to work on weekends and national holidays required, • Ability to frequently lift and/or move up to 25 pounds and occasionally lift and/or move up to 50 pounds, • Ability to stand and walk frequently (95% of shift), • Ability to push/pull up to 100 pounds frequently Take great care of the patient, every day and every way.TM At Pediatrix & Obstetrix, that's not only our motto at work each day; it's also how we view our employees and their families. We know that our greatest asset is YOU. We take pride in offering comprehensive benefits in a vast array of plans that fit your life and lifestyle, supporting your health and overall well-being. Benefits offered include, but are not limited to: Medical, Dental, Vision, Life, Disability, Healthcare FSA, Dependent Care FSA and HSAs, as well as a 401k plan and Employee Stock Purchase Program. Some benefits are provided at no cost, while others require a cost share between employees and the company. Employees may also select voluntary plans and pay for these benefits through convenient payroll deductions. Our benefit programs are just one of the many ways Pediatrix & Obstetrix helps our employees take care of themselves and their families. Pediatrix Medical Group is one of the nation's leading providers of highly specialized health care for women, babies and children. Since 1979, Pediatrix has grown from a single neonatology practice to a national, multispecialty medical group. Pediatrix-affiliated clinicians are committed to providing coordinated, compassionate and clinically excellent services to women, babies and children across the continuum of care, both in hospital settings and office-based practices. The group's high-quality, evidence-based care is bolstered by significant investments in research, education, quality-improvement and safety initiatives. Please Note: Fraudulent job postings/job scams are becoming increasingly common. All genuine Pediatrix job postings can be found through the Pediatrix Careers site: . All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

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 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).

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

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

Applied Researcher 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).

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).

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).

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 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 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 [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 * 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).

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).

Who You Are: The Tableau Developer is a key member of the Data & Analytics team reporting to Director of BI. This role is responsible for designing, developing, and maintaining interactive dashboards and reports using Tableau to support business decision-making. This role partners business stakeholders, data engineers, and analysts to translate complex data into intuitive visual insights while ensuring performance, data accuracy, and best visualization practices. The role will follow Tableau best practices for visualization design, naming conventions, and documentation while also maintaining version control and promoting content across environments (Dev / Test / Prod) On Tableau Cloud. What You'll Do: • Design and develop interactive Tableau dashboards and reports that clearly communicate key business metrics and trends., • Translate business requirements into effective data visualizations using best practices in visual analytics., • Optimize dashboards for performance, scalability, and usability., • Connect Tableau to multiple data sources (e.g., SQL databases, data warehouses, cloud platforms, Excel, APIs)., • Create and maintain data models, joins, calculations, parameters, and filters., • Perform data validation and reconciliation to ensure accuracy and consistency., • Work closely with stakeholders to gather requirements and understand reporting needs., • Provide data-driven insights and recommendations to support strategic and operational decisions., • Conduct user training and enablement sessions when needed., • Monitor dashboard usage and performance., • Troubleshoot data issues, refresh failures, and user access problems., • Enhance and maintain existing dashboards as business needs evolve. You'll Need To Have: • Bachelor’s degree in computer science, Information Systems, Data Analytics, or related field., • 5+ years of Tableau development experience., • Solid understanding of SQL for data querying and validation., • Experience working with relational databases and data warehouses (e.g., Snowflake, Redshift, SQL Server, Oracle)., • Strong knowledge of calculated fields, LOD expressions, table calculations, and parameters., • Strong analytical mindset with attention to detail., • Ability to interpret data and explain insights clearly to non-technical audiences., • Understanding data modeling concepts (facts, dimensions, star schema)., • Excellent communication and stakeholder management skills., • Ability to gather requirements and translate them into technical solutions., • Strong problem-solving and time management skills. We'd Love To See: • Experience with Tableau Cloud administration., • Knowledge of ETL tools like Talend or AWS Glue., • Experience with Python or R for advanced analytics., • Familiarity with Agile / Scrum methodologies., • Tableau certification (Desktop Specialist, Certified Data Analyst, etc.). Capri Perks: • Generous Holiday Schedule & Vacation Days, • Internal mobility across Capri Brands (Michael Kors, Jimmy Choo, Versace), • Cross-brand Discount, • Exclusive Employee Sales, • Fav 5 Cards (MK Discount for friends and family), • 401k Match, • Paid Parental Leave, • Thrive Wellness Program (seasonal in-office massages and more!), • Commuter Benefits, • Gym Discounts CAPRI HOLDINGS is a global fashion luxury group consisting of iconic, founder-led brands Jimmy Choo and Michael Kors. Our commitment to glamorous style and craftsmanship is at the heart of each brand, as we design innovative products across the full spectrum of fashion luxury categories. The unique DNA and heritage of each brand, combined with the diversity and passion of our people, and our dedication to clients and communities, define our success. The Company is an equal employment opportunity employer. The Company’s policy is not to unlawfully discriminate against any applicant or employee on the basis of race, color, sex, sexual orientation, gender identity, religion, national origin, age, military status, disability, genetic information or any other consideration made unlawful by applicable federal, state, or local laws. The Company also prohibits harassment of applicants and employees based on any of these protected categories. At Capri Holdings Limited, we are committed to providing a fair and accessible recruitment process. If you require a reasonable accommodation for the interview or application process, please contact our Talent Acquisition team at . In compliance with certain Pay Transparency laws, employers are required to disclose a salary range. The salary for this position will vary based on role requirements, skill set and years of experience.

About Wakefern Wakefern Food Corp. is the largest retailer-owned cooperative in the United States and supports its co-operative Members' retail operations, trading under the ShopRite®, Price Rite®, The Fresh Grocer®, Dearborn Markets®, Fairway Markets®, Gourmet Garage®, Di Bruno Bros.®, Morton Williams® banners. Employing an innovative approach to wholesale business services, Wakefern focuses on helping the independent retailer compete in a big business world. Providing the tools entrepreneurs need to stay ahead of the competition, Wakefern’s co-operative Members benefit from the company’s extensive portfolio of services, including innovative technology, private label development, and best-in-class procurement practices. About You Summary As a member of the Transportation Safety Department, you will be responsible for monitoring and managing compliance, safety, accountability (CSA) performance and ensuring all corrective actions are taken as a result of roadside inspections. Overseeing accident investigations, along with documenting investigation findings. Initiating and maintaining all U.S. Department of Transportation (DOT) mandated paperwork for the fleet. Driver hiring and maintaining qualification files in accordance with FMCSA guidelines. Conducting driver safety meetings. Interacting with Dispatch, Fleet Maintenance and Risk Management. Monitoring hours of service (HOS) compliance and provide refresher training as needed. Essential Functions The core functions of this position include, but are not limited to, the following: • Initiate and maintain all U.S. Department of Transportation mandated paperwork to include; driver qualification file, annual review, DOT physical, Commercial Driver License., • Monitor and manage driver safety performance such as HOS compliance, DriveCam review and coaching, CSA compliance and ensure all corrective action is taken as a result of roadside inspections., • Accident investigation, documentation and participate in determining the ruling of preventable or non-preventable, post-accident counselling, refresher training., • Driver retention and new hire. Verify qualification in accordance with our driver hiring guidelines. Initiate and process all new hire paperwork, to include the Department of Transportation’s PSP (Pre-Employment Screening Program), Clearing House validation and maintain driver files., • Ensure regulatory compliance by actively monitoring driver's license status, medical certificates and ensure DOT random drug testing quota is met., • Ensure all equipment meets regulatory requirements (registration, annual inspection, insurance and internal record keeping)., • Interact with dispatch personnel to ensure drivers are always in compliance with all regulations., • Interact with Fleet Maintenance regarding vehicle inspections, equipment compliance, and damages., • Interact with stores regarding any safety issues involving our drivers, equipment, or store property. Remedy such issues., • Research motorist complaints, interact with the motorist to provide a timely response, present and confront the driver with the complaint., • Research and interact with Fleet Maintenance and Accounting regarding damage to our equipment caused by third party motor carriers or vendors. Qualifications • Bachelor’s degree in business management, economics, finance or marketing. Certifications in Supply Chain Management, OSHA, Safety and Compliance; a plus., • Minimum of 5 to 7 years of supervisory experience in Transportation Safety & Compliance, • Working knowledge of FMCSA Rules and Regulations, CSA and HOS, • Working knowledge of Accident Investigation & Reconstruction, • CSP certification preferred, • Substance Abuse Training Certification, • Detail oriented multi-tasker with a demonstrated ability to meet deadlines and transportation compliance regulations., • Advanced personal computer skills including Word, Excel, Power Point, and Outlook., • Effective communication skills to include both verbal and written communication. Ability to present to varied audiences, such as executive leadership or Members. Shares information and knowledge in support of the team and organization’s success., • Good organizational and time management skills. Working Conditions & Physical Demands • Ability to balance prolonged periods of sitting at a desk and standing at a counter while working on a computer, • Ability to move efficiently between inbound and outbound work stations, • Ability to travel to various transportation terminal locations for site visits, • Ability to do yard walks and perform hands on equipment inspections, • Think Strategically: Create a compelling vision, develop a strategy and empower others to achieve it, • Influence Others: The ability to effectively collaborate, inspire, persuade and align others, • Drive Change: Create the vision and drive the momentum for change, • Talent Planning: Build organizational and associate capability to achieve business goals, • Take Accountability: Drive a culture of ownership throughout the organization, • Inclusive Leadership: Role model inclusive leadership to leverage diversity Core Competencies • Communicate Effectively: Communicates thoughts and ideas in a well-organized manner, encouraging two-way communication., • Build Relationships: Creates cross functional partnerships through the development and maintenance of constructive and cooperative relationships., • Stay Competitive: Demonstrates a mindset of continuous improvement while exhibiting passion and enthusiasm for their work., • Embrace Change: Looks for new ways of working by supporting advancements in processes and technology., • Develop You: Identifies and capitalizes on opportunities for personal and professional career growth., • Drive for Results: Supports divisional and strategic objectives through achievement of work goals. Company Perks • Vibrant Food Centric Culture, • Comprehensive medical, dental and vision package, • Competitive Salary and Paid Time Off, • Fitness Reimbursement and Well-Being Program, • Corporate Training and Development University, • Collaborative team environment, • Paid Parental Leave, • 401K, • Matching Gifts and Community Volunteer Involvement Compensation and Benefits: The salary range for this position is $69,004 to $90,324. Placement in the range depends on several factors, including experience, skills, education, geography, and budget considerations. Wakefern is proud to offer a comprehensive benefits package designed to support the health, well-being, and professional development of our Associates. Benefits include medical, dental, and vision coverage, life and disability insurance, a 401(k)-retirement plan with company match & annual company contribution, paid time off, holidays, and parental leave. Associates also enjoy access to wellness and family support programs, fitness reimbursement, educational and training opportunities through our corporate university, and a collaborative, team-oriented work environment. Many of these benefits are fully or partially funded by the company, with some subject to eligibility requirements.

Production Associate | BCBG Suits G-III Apparel Group New York City Metropolitan Area (On-site) Success Profile: The Production Associate supports the Production team in the management of the pre-production and production stages of product (garment) lifecycle from initial prototype to finished goods delivery. Drives daily development process through communication with global vendor base throughout the product life cycle. Creates and manages WIP (Work-In-Progress) report. Issues POs (Purchase Orders). Prepares Buy Charts for monthly Buy Meetings with Sales and Design teams. Proactively highlights development issues and partners with Manager on resolutions. Prepares initial costing. Tracks internal development milestones. Attends fittings, as needed. Interfaces with Sales, Merchandising and Design teams. Reporting to: Director of Production Brand/Product Focus: BCBG Suits Location (On-Site): New York City, Midtown Manhattan – Fashion District Key Accountabilities: Reporting & Analysis: Creates and manages WIP report for development tracking and garment delivery; Prepares Buy Charts for Monthly Buy Meetings with Sales and Design teams; Provides status reports to manager Vendor Communication: Drives daily development process through communication with global vendor base throughout product life cycle; Proactively highlights development issues and discusses with manager to propose resolutions; Communicates approvals to vendors within required time frame Sample Management: Tracks samples for Public Relations and Global Sales channels and assists with special requests Production Management: Issues POs (Purchase Orders); Owns Seasonal Production Validation meetings; Prepares initial costing and partners with internal teams; Attends SMS (Salesman Sample) and production fittings, as required Product Development: Partners with the Design team for product development approvals; Tracks internal development milestones SMS deadline dates Product Lifecycle Management: Uses AS400, Gerber Web PDM and/or Yunique PLM systems Special Projects: Takes on and completes special projects, as assigned Education and Experience: • 2+ years of apparel (wovens) production professional work experience in a SKU intensive environment, required;, • Prior experience with suits, a plus, • College degree, or equivalent professional work experience, required Skills and Behaviors: • Advanced MS Excel skills: data manipulation, pivot tables, v-lookup, • Working knowledge of WebPDM, PLM, Illustrator, Photoshop, PowerPoint, an asset, • Experience using AS400, an asset; open to learn and use the AS400 system, required, • Strong project management and multi-tasking skills with critical attention to detail, • Confident, engaging verbal and written communication skills, • Motivated to work in a high energy environment at the speed of fashion with ever-changing priorities, • Ability to work independently and work to meet multiple deadlines, • Ability to build and maintain relationships with other departments as well as vendors and other overseas offices The pay range for this position is: $31.25 per hour/$65,000 per year (Annualized salary is based on a 40 hour work week)- $33.66 per hour/$70,000 per year (Annualized salary is based on a 40 hour work week) Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law. About G-III Apparel Group, Ltd. | G-III excels at bringing excitement and confidence to customers through the fashion we create. We are global experts in design, sourcing, manufacturing, distribution and marketing, which enables us to fuel the growth of a substantial portfolio of brands. With more than 30 licensed and owned brands, including some of the most sought-after names in global fashion, our success is driven by our team’s entrepreneurial spirit and our deep relationships across the industry. • G-III’s owned brands include DKNY, Karl Lagerfeld Paris, Donna Karan, Vilebrequin, Sonia Rykiel, G.H. Bass, Bass Outdoor, Andrew Marc, Eliza J., GIII Sports and more. G-III has fashion licenses under the Calvin Klein, Tommy Hilfiger, Cole Haan, Dockers, Guess?, Kenneth Cole, Levi’s, Vince Camuto, Margaritaville and more. G-III also operates retail stores for the DKNY, Karl Lagerfeld Paris and Donna Karan brands.

Business Analyst, Data Insights G-III Apparel Group Department: Data & Analytics Reporting To: VP Data Insights Location (On-Site): New York, NY - Fashion District About G-III Apparel Group, Ltd. | ___ G-III Apparel Group is a global leader in design, sourcing, manufacturing, distribution, and marketing. We bring excitement and confidence to customers through the fashion we create. With more than 30 owned and licensed brands, including some of the most recognized names in global fashion, our success is driven by entrepreneurial thinking, operational excellence, and strong industry partnerships. Position Summary The Business Analyst, Data Insights will act as a high-visibility strategic partner and primary liaison between our business departments and the Data Insights team. Reporting to the VP Data Insights, you will bridge the gap between technical complexity and fashion-forward business growth by managing requests, troubleshooting operational issues, and delivering actionable insights that influence our global strategy. Key Responsibilities • Strategic Liaison & Support: Act as primary point of contact for business units (Sales, Production, IT, Finance, Marketing, Ecommerce), managing change requests and troubleshooting daily data challenges, • Insight Generation & Root-Cause Analysis: Analyze complex data to identify trends and perform deep-dives to explain the “why” behind performance shifts, providing clear visibility to leadership, • Workflow & Requirements Documentation: Build deep content knowledge on how business users interact with data. Document high-level workflows and translate them into clear, actionable technical requirements, • Solution Development & Validation: Define and validate transformation logic for reporting and analytics. Partner in the development process to ensure proposed solutions address core business needs, • Testing & Implementation: Develop and facilitate user acceptance testing (UAT) plans. Provide end-user training to support successful implementation and adoption across the brand., • Process & Governance: Proactively identify data quality issues and recommend sustainable solutions that align with established data governance standards., • Executive Readiness: Prepare data visualizations and “executive-ready” briefing materials for the VP to present to senior leadership. Qualifications Required: • Bachelor’s degree in Business, Economics, Finance, Computer Science, or a related field, • 3+ years of Business Analyst experience, ideally within the Retail, Fashion or IT sectors, • Proficiency in Data Visualization and BI Design using Power BI, • Experience supporting operations across wholesale, retail, and eCommerce channels, with an understanding of multi-channel business dynamics, • Experience with Azure platform, • Solid understanding of Data Modeling, dashboard optimization, and transformation logic, • Strong ability to document business processes and translate messy data into structured insights, • Ability to build strong relationships and bring about cooperation from cross-functional teams and technical stakeholders, • Agility to manage multiple priorities in a fast-paced environment Preferred: • Proficiency in SQL for data extraction and familiarity with Python or R for automation, • Understanding of industry-specific KPIs like sell-through, inventory turn, or e-commerce metrics, • Experience building “what-if” models to help evaluate the impact of business or vendor changes What We Offer • Competitive base salary and performance-based incentives, • Comprehensive medical, dental, and vision benefits, • 401(k) with company match, • Paid time off, holidays, and company-sponsored wellness benefits, • Employee discounts across G-III brands, • A collaborative, entrepreneurial work environment with career growth opportunities Compensation Salary Range: $90,000 - $100,000 (commensurate with experience) Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law. G-III’s owned brands include DKNY, Karl Lagerfeld Paris, Donna Karan, Vilebrequin, Sonia Rykiel, G.H. Bass, Bass Outdoor, Andrew Marc, Eliza J., G-III Sports and more. G-III holds licenses for Calvin Klein, Tommy Hilfiger, Cole Haan, Dockers, Guess?, Kenneth Cole, Levi’s, Vince Camuto, Margaritaville, and others. The company also operates retail stores for DKNY, Karl Lagerfeld Paris, and Donna Karan.

Data Engineer G-III Apparel Group Department: Data & Analytics Reporting To: VP Data Insights Location (On-Site): New York, NY - Fashion District About G-III Apparel Group, Ltd. | ___ G-III Apparel Group is a global leader in design, sourcing, manufacturing, distribution, and marketing. We bring excitement and confidence to customers through the fashion we create. With more than 30 owned and licensed brands, including some of the most recognized names in global fashion, our success is driven by entrepreneurial thinking, operational excellence, and strong industry partnerships. Position Summary The Data Engineer is responsible for building and maintaining the data infrastructure that supports analytics, reporting, and operational decision-making across the organization. Reporting to the VP of Data Insights, this role develops scalable data pipelines and reliable datasets used by internal teams, business partners, and analytics platforms. The Data Engineer will work closely with data scientists, engineers, and business stakeholders to ensure high-quality, accessible data that supports the company’s broader data and analytics strategy. Key Responsibilities • Design, build and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver data across enterprise systems, • Prepare, cleanse, and structure large datasets to support analytical modeling, reporting, and operational decision-making, • Implement data quality frameworks, validation rules, and monitoring systems to ensure data integrity and accuracy, • Partner with data scientists and analytics teams to support feature engineering and data preparation for quantitative analysis, • Work with engineering teams to implement automated anomaly detection and data monitoring solutions, • Serve as a subject-matter expert on internal datasets, including definitions, lineage, and quality standards, • Collaborate with product owners, business stakeholders, and systems teams to deliver reliable data products and services, • Design and maintain data models, data warehouses, and modern data architectures such as data lakes and data marts, • Contribute to the development of data governance standards, data documentation, and metadata management practices, • Support continuous improvement of the data platform through automation, testing, and performance optimization, • Ensure timely and reliable data delivery to support operational and strategic business needs Qualifications Required: • Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or equivalent practical experience, • 3+ years of experience in data engineering or a similar data infrastructure role, • Strong proficiency in SQL and experience working with large relational datasets, • Programming experience in Python (including data processing libraries such as PySpark), • Experience designing and implementing ETL/ELT pipelines and data integration workflows, • Experience with modern cloud platforms such as AWS, Azure, or GCP, • Working knowledge of data warehousing concepts, including data lakes, operational data stores, and dimensional modeling, • Familiarity with modern data orchestration and transformation tools (e.g., Airflow, Databricks, Data Factory, or similar), • Understanding of data modeling, data governance, and data quality best practices, • Experience working in collaborative engineering environments using Git, CI/CD pipelines, and automated testing frameworks, • Strong analytical and problem-solving skills with the ability to communicate technical concepts clearly to both technical and non-technical audiences, • Ability to manage multiple priorities and deliver high-quality work in a fast-paced environment Preferred: • Experience building scalable pipelines using Spark or distributed processing frameworks, • Familiarity with Azure data services such as Azure Data Factory, Microsoft Fabric, Synapse or Databricks, • Exposure to streaming or real-time data architectures, • Experience implementing data quality frameworks and governance programs, • Familiarity with business intelligence tools such as Power BI, • Prior experience in retail, fashion, or consumer products industries, • Experience leveraging AI-assisted development tools (e.g., Copilot, GPT-based coding assistants) to improve engineering productivity, • Master’s degree in a related quantitative or technical field What We Offer • Competitive base salary and performance-based incentives, • Comprehensive medical, dental, and vision benefits, • 401(k) with company match, • Paid time off, holidays, and company-sponsored wellness benefits, • Employee discounts across G-III brands, • A collaborative, entrepreneurial work environment with career growth opportunities Compensation Salary Range: $120,000 – $135,000 base (commensurate with experience) Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law. G-III’s owned brands include DKNY, Karl Lagerfeld Paris, Donna Karan, Vilebrequin, Sonia Rykiel, G.H. Bass, Bass Outdoor, Andrew Marc, Eliza J., G-III Sports and more. G-III holds licenses for Calvin Klein, Tommy Hilfiger, Cole Haan, Dockers, Guess?, Kenneth Cole, Levi’s, Vince Camuto, Margaritaville, and others. The company also operates retail stores for DKNY, Karl Lagerfeld Paris, and Donna Karan.

Director, Product Cost Analyst Reports to: SVP Team: Leads 6 Costing Analysts Role Purpose The Director, Product Cost Analyst is a senior-level financial and operational leader responsible for cost governance across the children’s apparel portfolio (newborn through big kids). Own divisional product costing integrity from BOM accuracy through landed cost and deliver sustained margin improvement via yield optimization, design-to-cost, and sourcing/geo-mix scenarios. Partner with Merchandising, Sourcing, Finance, and Technical Design to meet or beat divisional IMU/GM targets while protecting brand standards. Key Responsibilities 1. Cost Governance & Data Integrity • Own BOM accuracy in PLM: maintain materials, yields, trims, and consumption assumptions with strict revision control., • Maintain standard and landed costs in ERP; reconcile to POs and actuals; drive data quality controls and exception alerts., • Standardize divisional costing methods, calendars, and review checklists across assigned kidswear categories. 2. Seasonal Costing & Variance Control • Lead seasonal pre-cost and final cost cycles; reconcile season-over-season and year-over-year variances and quantify drivers., • Publish regular BI dashboards covering IMU vs. target, cost deltas, PPV, and exceptions., • Maintain a clean historical cost library for negotiation leverage and hindsight reviews. 3. Scenario Modeling & Margin Architecture • Run fast what-if models on fabric substitutions, feature changes, pack changes, MOQ/MCQ impacts, and sourcing shifts., • Execute FX and duty sensitivity analyses and country-of-origin switch scenarios; brief leadership on cost outlooks., • Provide FOB and landed-cost inputs and IMU guardrails to inform merchant pricing decisions; no ownership of MSRP. 4. Yield, Marker Efficiency & Product Engineering • Drive marker efficiency and yield improvement in partnership with Technical Design and Cutting teams., • Lead cost-down initiatives including consumption optimization, construction simplification, and vendor consolidation with quantified annualized savings. 5. Cross-Functional Decision Support • Chair divisional margin reviews and present trade-offs for VP/SVP approval at key calendar milestones., • Partner with Sourcing on fact-based should-costs; Sourcing retains factory negotiation ownership., • Identify and communicate risk related to duty changes, freight volatility, and commodity shifts with mitigation plans. 6. People Leadership • Manage, coach, and develop a team of analysts; build skills in consumption modeling, tariff modeling, and analytics., • Establish performance metrics for cost accuracy, cycle time, savings delivery, and data quality. Qualifications • 7-10 years of apparel product costing or sourcing finance experience; 3–5 years leading teams in high-volume apparel., • Bachelor’s degree in Finance, Accounting, Industrial Engineering, or Textile Engineering., • CPA, CMA, or Lean Six Sigma certification a plus., • Strong systems capability across PLM, ERP, advanced Excel, and BI tools., • Demonstrated fluency in IMU/GM math, FOB and landed-cost calculations, and consumption mechanics., • Willingness to travel 10–20% to mills and factories. Technical Skills • Advanced Excel proficiency, • Complex pivot tables and reporting, • Advanced formulas (V-Lookup, x-lookup), • Data validation and error checking controls, • Overall strong data validation skills

Job Title: Digital Marketing Coordinator (Assistant) Location: New York, NY Department: Digital Marketing / E-Commerce Wholesale Reports To: Digital Ads and Marketing Manager About G-III Apparel Group: G-III excels at bringing excitement and confidence to customers through the fashion we create. We are global experts in design, sourcing, manufacturing, distribution and marketing, which enables us to fuel the growth of a substantial portfolio of brands. With more than 30 licensed and owned brands, including some of the most sought-after names in global fashion, our success is driven by our team’s entrepreneurial spirit and our deep relationships across the industry. Position Summary: We are seeking a highly motivated and detail-oriented Digital Marketing Coordinator to join our Digital Marketing team. This role will play a critical part in supporting the execution of digital marketing initiatives across our E-Commerce Wholesale business and ensuring the success of content deployment, asset management, operational processes, and performance reporting within the department. The ideal candidate is a proactive team player with strong communication skills, exceptional attention to detail, and a passion for digital growth within the apparel industry. Key Responsibilities: • Support the development and execution of digital content across key eCommerce platforms, including Retailer PDPs, Brand Stores, A+ content, and advertising assets, • Partner with Brand Marketing teams and licensors on asset briefs, content development, and execution to ensure alignment with brand guidelines and timelines, • Own the organization and maintenance of the digital asset library, ensuring assets are current, accessible, and platform-ready, • Implement CX and IDQ-related optimizations across retailer platforms under Specialist guidance, • Assist with front-end SKU, ASIN, and PDP QA processes including audits, scrubs, and issue resolution prior to launches, • Support eCommerce Merchandising teams with NIS operational audits, submissions, template validation, image review, formatting accuracy, MOQ compliance, and SharePoint submissions, • Manage and maintain internal trackers for content, submissions, launches, and promotional activity to ensure deadlines are met, • Support Bazaarvoice operations including reminders, tracking, template uploads, and retailer program execution, • Assist with weekly retailer reporting processes including data pulls, reporting file maintenance, performance recaps, and ad hoc reporting requests, • Collaborate cross-functionally with Digital Marketing, Sales, Merchandising, and Brand teams to support launches, promotions, and ongoing initiatives Who You Are: • A team player who collaborates easily and supports others, • A strategic thinker who understands how digital execution drives business growth, • A fast learner who adapts quickly and embraces new retail platform updates, • A strong communicator who can clearly express ideas and listen actively, • A self-starter who takes initiative and drives work forward, • Detail-oriented and highly organized, with the ability to manage multiple deadlines Qualifications: • Bachelor’s degree in Marketing, Advertising, Communications, Journalism, or related field (or equivalent experience), • 1–3 years of relevant experience in digital marketing, marketing coordination, or eCommerce, • Strong proficiency in Microsoft Office Suite (Excel, PowerPoint, Outlook), • Working knowledge of digital marketing, content management, or eCommerce platforms, • Proficiency in Excel including basic formulas; familiarity with VLOOKUPs and Pivot Tables preferred, • Experience with systems such as Amazon Vendor Central, Seller Central, or other retail marketplaces preferred, • Excellent organizational and time management skills, • Strong interpersonal and written/verbal communication skills What We Offer: • Competitive salary, • Comprehensive benefits including medical, dental, vision, and 401(k), • PTO and company holidays, • Employee discounts The pay range for this position is: $26.45/hour - 31.25/hour ($55,000 – $65,000/year.) Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law. G-III Apparel Group is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. About G-III Apparel Group, Ltd. | ___ G-III’s owned brands include DKNY, Karl Lagerfeld Paris, Donna Karan, Vilebrequin, Sonia Rykiel, G.H. Bass, Bass Outdoor, Andrew Marc, Eliza J., GIII Sports and more. G-III has fashion licenses under the Calvin Klein, Tommy Hilfiger, Cole Haan, Dockers, Guess?, Kenneth Cole, Levi’s, Vince Camuto, Margaritaville and more. G-III also operates retail stores for the DKNY, Karl Lagerfeld Paris and Donna Karan brands.

Senior Vice President, Model Risk Validation 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 are seeking a future team member for the role of SENIOR VICE PRESIDENT to join our MODEL RISK MANAGEMENT team. This role is located in NEW YORK. In this role, you may work in one of five disciplines, each responsible for a different type of modelling: 1. Credit Risk Modeling, 2) Treasury Modeling, 3) Market Risk Modeling, 4) Pricing Modeling, 5) Forecasting, 6) AI • Lead teams responsible for model validation, risk assessment, and compliance with regulatory requirements., • Ensure effective processes and controls for prompt risk identification, assessment, mitigation, and tracking of issues related to model risk., • Behave ethically and adhere to BNY’s standards, including the Code of Conduct and applicable policies., • Conduct independent testing and analysis of model performance, assumptions, and limitations., • Document validation findings and communicate results to stakeholders., • Demonstrate ownership and accountability for managing model risk holistically, engaging proactively with control functions., • Serve as a role model in creating and sustaining a strong risk culture and support the development of team members., • Master's Degree or PhD in a quantitative discipline, including engineering, mathematics, physics, statistics, econometrics., • The candidate must have a superb quantitative and analytical background with a solid theoretical foundation coupled with strong programming, documentation, and communications skills., • Minimum 5 years (5 - 7 preferred) of modeling experience in financial services., • Must have experience with complex quantitative modelling, numerical analysis, and computational methods using programming languages (such as C/C++, C#, Java, FORTRAN, MATLAB, SAS) as well as mathematical/statistical software packages. At BNY, our culture speaks for itself, check out the latest BNY news at: Here are 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 $102,000 and $171,500 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.

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.

Vice President, Financial Model Risk Auditor 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 Vice President, Auditor to join our Model Risk Audit Team within Internal Audit. This role is located in New York City, NY. In this role, you’ll make an impact in the following ways: • Performing high quality, risk-focused audit testing, in accordance with Internal Audit policies, methodologies, and standards in order to identify meaningful issues, risks and other exposures related to model risk in Finance’s Corporate Treasury functions, and Risk Management areas focusing on the Enterprise-wide management of Market Risk, Credit Risk, Interest Rate Risk, Liquidity Risk, Financial Crime Compliance (BSA / AML, and Artificial Intelligence / Machine Learning, and model governance., • Tests model development and model validation processes as per the Supervisory Guidance on Model Risk Management and the Bank’s Model Risk Management policies, standards, and procedures., • Operates as a team member or independently and has responsibility for specific procedures and results (i.e., head of a project relating to an audit, audit project, or model auditor). Ensures testing (or other tasks as applicable to a specialty) is adequately thorough and accurate to allow an evaluation of the adherence to company policies and procedures, audit methodologies, and all applicable regulations. Identifies existing and emerging risk/ control themes., • Prepare draft audit reports and follow-up of audit actions to ensure corrective actions have been appropriately implemented., • Learns new businesses, processes and regulations., • Work with other audit team members to mentor, guide and collaborate., • Work on projects of great complexity that involves significant understanding of the regulatory requirements, business models and processes for each assignment., • Maintain up to date knowledge of industry best practice and regulatory requirements., • Carry out other ad-hoc tasks and projects as directed by audit senior management., • Represent Internal Audit on projects and at management meetings., • Advanced degree (Masters or PhD) in Math, Statistics, Physics, Economics or other quantitative fields are required (PhD is preferred)., • Strong quantitative and analytical background coupled with strong theoretical foundation and good communication skills preferred., • 5+ years working experience in model development, model validation, or model audit in the risk area such as Market Risk, Credit Risk, Interest Rate Risk, Liquidity Risk, Financial Crime Compliance, Artificial Intelligence / Machine Learning, stress testing, and capital planning., • The position requires special skills (e.g. mathematical, statistical, quantitative, economic, and business knowledge and modeling experience)., • Proficient with programming languages used for model development and validation, such as Matlab, R, C, Python, etc.; Additional core skill requirements include understanding of the applied and interpretation of analytics results for Audit, critical thinking and problem solving At BNY, our culture speaks for itself, check out the latest BNY news at: 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 $100,000 and $160,000 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 compensatio

Vice President, Fixed Income and Equity Data Management Engineer - Full-Stack Engineer At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the world’s financial system we touch nearly 20% of the world’s investible assets. Every day around the globe, our 50,000 plus employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities, and people everywhere. We continue to be a leader in the industry, awarded as a top home for innovators and for creating an inclusive workplace. Through our unique ideas and talents, together we help make money work for the world. This is what #LifeAtBNY is all about. We’re seeking a future team member for the role of Vice President, Fixed Income and Equity Data Management Engineer- Full-Stack Engineer to join our BUY SIDE TRADING BUSINESS as part of CAPITAL MARKETS team. This role is open in Boston, MA and New York, NY. This is an exciting opportunity for an experienced engineer to manage and drive business expansion through an engineering lens. Working closely with a cross-asset desk as we design, architect, and build a state-of-the-art platform to empower extensive reporting capabilities, research, and real-time analytics, in support of our new global, multi-asset trading organization. In this role, you’ll make an impact in the following ways: • Partnering with product, quants, traders, and ops; translating requirements into robust data solutions., • Play a key role in the design and architecture of trading and market data structures, • Design and build a historical and real-time data management platform for a global, multi-asset trading organization., • Ensure data integrity through proper data quality and validation, • Support and work alongside a cross-functional engineering team on the latest technologies, • Drive with an AI first mind-set towards automation and code-refactoring, • Hands-on programming of well-designed, testable, secure, and efficient code., • Strong understanding of either Equities or Fixed Income trading workflows, • Solid understanding of market microstructure and OMS/EMS flows (FIX, order types, venue routing) to design practical normalization., • Strong understanding of database schemas and structures, • Strong in Python and SQL coding, • FIX protocol/messaging knowledge, • Demonstrates proficiency in the design, development, and implementation of data, reporting and database technologies and tools., • Broad experience with multi-platform development tools and toolkits, especially open-source software., • Experience in formal Software Development Lifecycle and Agile methodologies for projects and problem resolution., • Excellent oral and written communication skills., • Good organization skills to coordinate and lead projects., • Strong problem-solving skills with the ability to come up with innovative solutions., • Bachelor's degree in computer science, financial engineering, statistics or related discipline OR equivalent work experience is required. 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 $90,000 and $200,000 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. For over 230 years, the people of BNY Mellon have been at the forefront of finance, expanding the financial markets while supporting investors throughout the investment lifecycle. BNY Mellon can act as a single point of contact for clients looking to create, trade, hold, manage, service, distribute or restructure investments & safeguards nearly one-fifth of the world's financial assets. BNY Mellon remains one of the safest, most trusted and admired companies. Every day our employees make their mark by helping clients better manage and service their financial assets around the world. Whether providing financial services for institutions, corporations or individual investors, clients count on the people of BNY Mellon across time zones and in 35 countries and more than 100 markets. It's the collective ambition, innovative thinking and exceptionally focused client service paired with a commitment to doing what is right that continues to set us apart. Make your mark: bnymellon.com/careers.

Presidio, Where Teamwork and Innovation Shape the Future AtPresidio, we're at the forefront of a global technology revolution, transforming industries throughcutting-edge digital solutions and next-generation AI. We empower businesses-and their customers-to achieve more through innovation, automation, and intelligent insights. The Role Presidio is seeking a Senior Network Engineer to join our team to support our client base in (Carolinas) region. This individual will lead small to large projects on their own or as part of a team, which includes planning, design, and implementation of complex network and security engagements. This is a consultative role providing network engineering services on project work and effectively managing the implementation process from design to customer acceptance. Travel Requirements: In this role you will be expected to travel up to 25%. Responsibilities include: • Primary responsibilities include performing project-based engineering, design, staging, installation, validation, testing, and troubleshooting of data/security networks, • Lead complex, large-scale Network and Security projects, • Create low-level detailed designs that align with the business strategy, the customer's budget, and operational support capabilities., • Network discoveries, • Perform Network and Security Assessments, • Presenting documentation and engagement deliverables to customers, • Collaborating as part of a multi-functional team with Sales, Pre-Sales, Project Management, and other delivery/engineering resources, • Trouble resolution of complex issues and assisting team members in solving problems with their deployments., • Working with junior members of the engineering team to successfully implement secure network solutions, • Experienced expert with complex multi-protocol routing and switching solutions, • Various security parameters and harden access to devices, • Core Routing and Switching platforms with a focus on design, configuration, and troubleshooting using Cisco Best Practices, • Network design and applications, including designing IP addressing, • OSPF, BGP, EIGRP. Redistribution of protocols and loop prevention, • TCP/IP protocol stack, TCP/IP headers and packets, the OSI model, and commonly used TCP/UDP ports and associated services, • Strong level in routing and switching troubleshooting, • Solid verbal and written communication skills, • Bachelor's Degree or equivalent experience and/or military experience, • Cloud Networking Experience, • AWS, Azure, GCP in Networking context, • Aviatrix, • Experienced deploying at least one SDWAN Solution with Viptela, Silverpeak, or Palo Prisma SDWAN, • Cisco ISE, • Experienced in implementing security solutions such as:, • Palo Alto Networks Product Portfolio, • Panorama, • Prisma Access, • Prisma Cloud, • Cisco Security Product Portfolio, • Firepower / FTD Firewalls, Meraki MX: Configuration, tuning, troubleshooting, • FMC Management, • Fortinet Product Portfolio, • FortiGate FWs, Forti Manager/Forti Analyzer, • Arista Networking solutions, including Cloud Vision, • Aruba Product Suite, • Experience with Aruba CX and Aruba OS software, • VSX and VSF technologies, • High availability configurations, • Automation / Scripting: Python, EMM and TCL, • Active Cisco certification; CCNP, CCIE Preferred, • Active Palo Alto certification; PCNSA, PCCSE, PCNSE Preferred, • 5+ years of related project implementation experience. Your future at Presidio JoiningPresidiomeans stepping into aculture of trailblazers-thinkers, builders, and collaborators-who push the boundaries of what's possible. With our expertise inAI-driven analytics, cloud solutions, cybersecurity, and next-gen infrastructure, we enable businesses to stay ahead in an ever-evolving digital world. Here,your impact is real.Whether you're harnessing the power ofGenerative AI, architecting resilientdigital ecosystems, or drivingdata-driven transformation, you'll be part of a team that is shaping the future. Ready to innovate? Let's redefine what's next-together. About Presidio At Presidio, speed and quality meet technology and innovation. Presidio is a trusted ally for organizations across industries with a decades-long history of building traditional IT foundations and deep expertise in AI and automation, security, networking, digital transformation, and cloud computing. Presidio fills gaps, removes hurdles, optimizes costs, and reduces risk. Presidio's expert technical team develops custom applications, provides managed services, enables actionable data insights and builds forward-thinking solutions that drive strategic outcomes for clients globally. For more information, visit . Applications will be accepted on a rolling basis. Presidio is an Equal Opportunity / Affirmative Action Employer / VEVRAA Federal Contractor. All qualified candidates will receive consideration for this position regardless of race, color, creed, religion, national origin, age, sex, citizenship, ethnicity, veteran status, marital status, disability, sexual orientation, gender identification or any other characteristic protected by applicable federal, state, and local statutes, regulations, and ordinances. To read more about discrimination protections under Federal Law, please visit: If you have any difficulty using our online system and need an accommodation in the job application process due to a disability, please send an email to for assistance. Presidio is a VEVRAA Federal Contractor requesting priority referrals of protected veterans for its openings. State Employment Services, please provide priority referrals to . Notice to Massachusetts Candidates: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Recruitment Agencies, Please Note: Presidio does not accept unsolicited agency resumes/CVs. Do not forward resumes/CVs to our careers email address, Presidio employees or any other means. Presidio is not responsible for any fees related to unsolicited resumes/CVs. #LI-AV1 Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the ___ notice from the Department of Labor.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Position Summary: Join our mission toinfusecutting-edgeAI/ML/GenAIintopharmacy benefits as aMachine Learning Engineering Intern.We are looking foragraduate studentswithartificial intelligence /machine learningspecializationto join us ininvestigatingAI capabilitiesand tools to improve productivity and createmagical experiences in our products and services. Inthis role, you will collaborate with researchers, engineers, and program/project managers to tackle innovative challenges. You will also receive technical mentorship and guidance that allows you to learn new things every day, gain practical skills, build real world experience, develop a greater understanding ofthe healthcare techindustry, and form valuable connections. Together, you and your team will partner to design and implement an innovative solution for a Machine Learning problem that is meaningful. At the end of your internship, you will have the opportunity to meet and present your work to leadership. Responsibilities: • Investigate and experiment with tools and methodologiesleveragingArtificial Intelligence (AI)andmachinelearning (ML) solutions in the fields of Document understanding, Search andQnA,GenAI,Virtual Agents, etc., • Work with senior technical staff to develop improvements to models to generatenew contentusing machine learning models in a secure, well-tested, and reasonably performant way., • Applytoolsand methodologiesfor large-scale data processing and ETLand contribute to extracting insights from data to help guide ML systems development, • Ensure the integrity and robustness of ML solutions byexecutingautomated testing and validation processesestablishedwithin the team., • Documentandcommunicatedevelopment processes andimplementationdetails with peers and supervisors., • Ensure the security and compliance of healthcare data, adhering to HIPAA regulations., • Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. RequiredQualifications: • Working toward a masters or doctoral degree in computer science, engineering, machine learning, applied mathematics, or equivalent., • Goodunderstandingor having completed course workof Machine Learning fundamentals such as Deep Neural Networks, Transformer-based LLM and MLMs, Boostedor standard decisiontrees, RAG,etc., • Basic understandingof OOP, Design Patterns, efficient algorithms, and software developmentlifecycles., • Decentproficiencyin Python., • Goodproblem-solving skills, attention to detail,anda strong capacity for logical thinking., • Some experience crafting, conducting, analyzing, and interpreting experiments and investigations is a plus. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

You want more out of a career. A place to share your ideas freely - even if they're daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love - driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together - lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What you'll be doing... You'll be part of our State, Local and Education (SLED) Public Sector sales team, building our client-base and making our current customers even happier. You'll have responsibility for prospecting, sales support and problem resolution for SLED accounts in your area. The client experience will be in your hands as you interact with customers and prospects to drive revenue growth and business success while ensuring outstanding customer service. * Lead customer interactions on accounts with or without an assigned account manager * Prospect for new customers while partnering with various support and field teams to close opportunities. * Support the overall account strategy with the SLED sales leadership team. * New and existing customer quoting, contracting and ordering implementation, migration, and onboarding support. * Drive and train online self-service via the Verizon Enterprise Center (VEC) to increase SLED customer users and adoption. Endorse self-service practices where possible. * Research and resolve customer problems while recommending solutions. * Support E-Rate/Non-erate accounts * Manage 800# and ___ chat queues and engage with customers. * Manage inboxes to ensure timing responses, guidance and resolution occurs. * Provide customers updates on settlement agreements, disputes and billing issues in partnership with other stakeholders * Submit and follow up on internal departments for system support in SFDC, Polaris, Proquest, VPrice, GCT etc.. * Engage QuickStart and other quoting channels to support change order initiatives on Proquest * Engage the proper support channels to support change orders on legacy platforms * Support administrative activity like quoting renewals, disconnects, TOSA's, amendment only, address validation requests * Help manage product or account specific migrations * Create NEW account requests to ensure entities are established correctly for quoting, contracting, ordering and billing * Take point on customer escalations, outages and to service related issues by pulling in the correct resource or managing it Our ___ (starting day one) and perks are designed to help you move forward in your career and in your life outside of Verizon. From health and well-being benefits to investment in your education and career, we've got you covered! * Best in class medical, dental and vision * Verizon 401(k) plan with matching contributions up to 6% of eligible participant contributions to the plan, qualified student loan repayments, or a combination of both. * Engage your clients with Verizon's Velocity Selling methodology. Using AI and advanced CRM tools, the Velocity Selling methodology boosts efficiency, productivity, and decision-making through automation, predictive analysis, and personalized customer approach. Providing you with a competitive edge and leverage to boost your own success and career growth. * Sales recognition programs that have, in the past, awarded top performers with all inclusive travel to domestic and international destinations, gifts, and other incentives * Lucrative paid time off, five weeks of paid time off (vacation, holidays, and personal days) * 8 weeks of paid parental leave for eligible new parents (for new moms, when paired with short-term disability, this benefit provides up to 16 weeks of paid time-off) * Up to $8k per year in tuition assistance * Expand your knowledge through various industry certifications through Verizon's Get Certified program * Discounts up to 50% off on Verizon products and services, Fios, high-speed home internet solutions to accessories and exclusive Verizon features, including 50% off Verizon wireless calling plans and much more. * From Employee discounts to pet insurance, we offer additional perks to ensure V-teamers and their loved ones are supported holistically Too good to be true? Come see for yourself! From our in-person new hire experience and award-winning training programs to our inclusive culture of learning and amazing benefits, you'll be able to apply your skills while elevating your career. What we're looking for... You have the drive and enthusiasm to win new business. You don't mind cold-calling potential customers because meeting new people and discovering their needs is what you enjoy. Closing a sale takes initiative and you know just how to support the sales reps to follow up and follow through so nothing gets missed. The idea of solving customer problems with first class technical solutions energizes you. A fast-paced environment when you are multitasking to get everything done is where you do your best work. You'll need to have: * Bachelor's degree or one or more years of work experience (Sales support, Customer Service, etc). * A valid driver's license. * Eligibility to pass Motor Vehicle Record check. Even better if you have one or more of the following: * A degree. * Proven ability to identify customer opportunities, communicate well with customers, take care of our customers, and support our SLED sales representatives. * Have been a part of working with customers to solve their problems and create sales - you can easily help multiple customers at the same time. * Experience prospecting, selling, sales support, and problem resolution for business accounts. * Experience in hunting for new business and partnering with the sales team to close the sale. * Have experience finding ways to grow the business with existing customers. * Familiarity with crafting programs with products that will wow our customers. * Experience in supporting the resolution of customer problems and recommending solutions. * Managed sales tracking and managed making appointments for a sales team. Where you'll be working In this mobile role, you'll primarily work from customer or field location(s), with occasional visits to a Verizon location for in-person training and meetings. In this mobile role, you'll primarily work from customer or field location(s), with occasional visits to a Verizon location for in-person training and meetings. 40 Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics. Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance. We also offer a matched 401(k) savings plan, up to 8 company paid holidays per year and up to 6 personal days per year, paid parental leave, adoption assistance and tuition assistance, plus other incentives, we've got you covered with our award-winning total rewards package. Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc. Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances. The salary will vary depending on your location and confirmed job-related skills and experience. This is a commission based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours. The annual salary range for the Maryland location(s) listed on this job requisition based on a full-time schedule is: $42,000.00 - $68,600.00.

Seeking a Benefits and Compensation professional with strong analytical skills! Duties & Responsibilities: • Functions as a liaison between benefits/insurance vendors and employees/partners for our benefit programs including ensuring benefit enrollments for New Hires, Life Event changes, HSA contribution changes, • Monthly/quarterly audit and processing of insurance premium payments, • Administers HRIS transactions, billing, and payroll administration, • Assists in the administration of the annual open enrollment for welfare plans, • Assists with special projects such as employee benefit seminars when necessary, • Monthly review and validation of 401(k) data and enrollments, • Manages the retirement plan administration for employees and partners, • Reviews and recommends salary placements for new hires., • Provides analytical support and data analysis for annual comp process, • Creates models and projections for annual salary and bonus programs Qualifications: • Bachelor’s Degree required, • Experience with Watson comp surveys is ideal, • 5+ years of well-rounded benefits admin and compensation benchmarking/admin experience, • Experience in an HRIS system is required The salary range for this role is $70,000-$100,000, DOE.

Responsible for receipt and documentation of Safety information for Marketed and Investigational Products. Interacts with health professionals and consumers to obtain and follow-up reports of possible adverse events with company products. Provides product information to health care professionals, consumers, and sales representatives. Codes and enters information into the global safety database. Verifies the accuracy, completeness and validity of information for each adverse event report for which he/she is responsible. Assures consistency of case records and documentation. Creates and ensures distribution of regulatory reports for FDA and other regulatory health authorities. Accurate and timely data entry of both domestic and foreign adverse event and serious adverse event information into the PSSS (Product Safety Surveillance System) consistent with the ARISg coding manual, SOPs/WIDs, process flows and established time frames within the ARISg workflow. Full understanding of the products’ company Core Data sheet, PI, and/or IB for accurate labeling and listedness. Perform appropriate and timely follow-up per department guidelines, including accurate and thorough communication documentation within the case. Maintain proficiency in the utilization of the PSSS, including MedDRA coding. This may include participating in the validation process for the PSSS. Ensure accurate and timely submissions to regulators, co-marketing partners and affiliates within company and regulatory timeframes. Utilize ARISg for all reporting and confirmation of successful distribution and acknowledgement. Maintain sufficient knowledge of all company products to ensure professional and knowledgeable discussions with consumers and healthcare providers and dissemination of accurate product information in response to queries. Provide high level customer service to consumers, health care professionals and internal customers. Complete all required training within the timelines provided so as to ensure knowledge of all relevant corporate and departmental SOP’s, SWP’s and WID’s. Ensure timeliness in regulatory compliance Gather sufficient information to assess the medical significance of an adverse event report, while at the same time assuring the information provided adequately addresses the concerns of the health care provider and/or consumer. Required Qualification & Skills: Bachelor’s degree in Medical field with RN or RPh licensure, or PharmD/MD degree required. Minimum 2 to 4 years in industry application of clinical medicine/pharmacy with a minimum of 1 year in pharmaceutical drug safety Experience in verbally interviewing and/or providing medical information to health care professionals and consumers Application of clinical medicine to patient care Medical terminology and standards of patient care Computer proficiency

Senior Product Manager, Consultant 100% Remote / Work From Home Our client, is a well-established education technology organization based in New York City. Their team is seeking a Product Management Consultant to support a number of strategic initiatives in the education technology space. Key Responsibilities include: • Supporting product strategy and execution; Identifying key problems and opportunities within programs while working with partner organizations, • Working closely with designers, engineers, and data analysts throughout discovery, validation, and delivery, • Aligning stakeholders across multiple teams and institutions around a clear product vision and roadmap, • Leading initiatives across the full software development lifecycle using agile methodologies, • Helping promote a product-driven mindset as the organization continues to scale its digital offerings Core Qualifications: • 6+ years of product management experience within technology-driven organizations, • Strong experience managing end-to-end product initiatives and multi-project roadmaps, • Experience working in agile product environments, • Familiarity with tools such as Jira, Miro, Airtable, Google Sheets, Mixpanel, or similar platforms, • Experience with user research and discovery best practices, • Ability to translate complex or ambiguous ideas into intuitive, scalable product solutions, • Strong organizational skills and attention to detail, • Prior experience in nonprofit, education, or public sector environments is a plus, but not required

Role: Power BI Developer Location: Newark, NJ – Hybrid (2–3 days onsite per week) Duration: 6 months (possible extension or right-to-hire) Position Overview: The team is seeking a Power BI Developer to build and optimize interactive dashboards and reports that support operational, HR, and financial reporting needs. This is a new capability for the group, so the contractor will serve as both a technical expert and mentor, helping existing team members gain Power BI proficiency through hands-on collaboration. The role is highly technical — focused on data modeling, report development, and performance optimization — with opportunities to influence long-term reporting infrastructure. Key Responsibilities • Design, develop, and maintain Power BI dashboards and reports from raw and blended data sources., • Create and manage data models, queries, and calculations using DAX (Data Analysis Expressions)., • Develop SQL-based data extractions and transformations from multiple data sources., • Integrate and validate data from various sources (SQL Server, Redshift, AWS Athena, manual datasets, etc.)., • Partner with internal team members to share Power BI knowledge and build internal reporting capability., • Perform data cleansing, validation, and transformation for reporting accuracy., • Provide recommendations on visualization best practices and data storytelling. Required Skills • Power BI Expertise: Minimum 5 years of hands-on experience building dashboards, reports, and DAX calculations., • SQL Proficiency: Ability to write complex queries, join and merge datasets, and build custom data views., • Data Modeling: Experience transforming raw data into structured, report-ready formats., • Attention to Detail: Strong ability to validate, cleanse, and troubleshoot complex data sets., • Visualization & Reporting: Knowledge of chart design, KPIs, and clear data representation. Nice-to-Have Skills • Experience with Redshift, AWS Athena, or other cloud data platforms., • Exposure to Azure Data Fabric or similar modern data frameworks., • Familiarity with Tableau and Excel (current team tools)., • Prior experience in financial, HR, or operational reporting environments. Soft Skills & Team Fit: • Strong communicator able to explain technical concepts to non-technical users., • Collaborative and open to mentoring other team members., • Detail-oriented with a proactive, problem-solving mindset. Key Takeaways • The team lacks current Power BI expertise — this role will establish that foundation., • Must be technically strong in both SQL and Power BI (including DAX)., • Data will often be raw and unstructured, requiring someone comfortable with data wrangling., • Ideal candidate is experienced, detail-oriented, and collaborative, with at least 5 years of Power BI experience., • Potential long-term opportunity if contractor demonstrates value.

Senior OmniPlus Technical Lead The Senior OmniPlus Technical Lead serves as a senior-level subject matter expert responsible for the design, configuration, integration, and ongoing support of the OmniPlus suite of recordkeeping solutions supporting defined contribution retirement plans. This role provides technical leadership, operational oversight, and strategic input across the full system lifecycle, ensuring scalable, compliant, and high-performing solutions aligned with client and regulatory requirements. This position combines deep functional expertise with strong technical capabilities, including core system analysis, custom development, integration design, and production support. The Specialist IV plays a critical role in evaluating system limitations, driving enhancements, and ensuring stability across OmniPlus environments. Core Responsibilities Program & Stakeholder Leadership • Provide clear, consistent project updates to program leadership, stakeholders, and cross-functional teams, • Identify, manage, and escalate risks, issues, scope changes, and dependencies, • Act as a bridge between business, operations, and technical teams to ensure alignment, • Lead end-to-end OmniPlus system setup for new implementations and conversions, • Configure OmniPlus and Plan Services GUI environments based on Conversion Requirements Documents, • Perform plan configuration audits for both new and existing clients, • Execute data mapping, asset posting, and touchpoint validation testing, • Lead and support System Integration Testing (SIT) and User Acceptance Testing (UAT), • Develop, document, and execute detailed test scenarios and validation scripts, • Analyze results, identify defects, and coordinate resolution across teams, • Perform deep analysis of OmniPlus core processing and COBOL-based components, • Conduct root cause analysis for system defects, data discrepancies, and performance issues, • Develop and maintain user exits, custom enhancements, and integration logic, • Review and analyze code to identify gaps, inefficiencies, and potential output issues, • Lead and support deployment of:, • Service Packs, • Tax Releases, • Full OmniPlus Releases, • Coordinate environment upgrades, regression testing, and post-release validation, • Install and validate vendor-provided fixes and patches, • Lead OmniPay implementation, upgrades, and ongoing administration, • Support integration between OmniPlus and external systems (payroll, banking, trading, reporting), • Ensure accurate processing of contributions, distributions, loans, and transfers, • Troubleshoot and resolve complex production issues within the Omni environment, • Analyze operational workflows and recommend process and technology improvements, • Optimize performance across batch cycles, transaction processing, and reporting, • Serve as a subject matter expert for year-end processing, including:, • Compliance testing, • IRS/DOL reporting requirements, • 1099-R and tax form processing, • Interpret and apply regulatory rules within OmniPlus configurations, • Deep expertise in OmniPlus (5.x – 7.x), OmniPay, and Plan Services GUI, • Strong understanding of defined contribution plan administration, • Experience with Omni transaction processing (T-codes) and batch operations, • Proficiency in data mapping, conversions, and reconciliation, • Strong analytical and troubleshooting skills across mainframe and distributed environments, • Experience with COBOL-based systems and legacy platform modernization concepts, • Ensures stability and scalability of OmniPlus platforms, • Reduces operational risk through deep technical and functional oversight, • Drives efficient conversions, upgrades, and integrations, • Provides strategic insight into platform limitations and modernization opportunities

Role Overview This position supports the US CIB Corporate Compliance team in governance, compliance monitoring, regulatory tracking, and reporting activities. The role ensures the accuracy, consistency, and timely preparation of materials for internal committees, as well as reporting to senior management at both global and local levels. It requires strong attention to detail, organizational skills, and the ability to coordinate across multiple stakeholders to ensure accuracy, consistency, and timely delivery of information. Key Responsibilities Corporate Compliance Monitoring · Support the coordination and execution of Corporate Compliance programs, including Anti-Bribery & Corruption, Antitrust, and the Criminal Prevention Plan, including the preparation and distribution of related communications and reminders. · Monitor Corporate Compliance tools (e.g., Gifts & Entertainment, Conflicts of Interest), ensuring appropriate oversight, follow-up, and adherence to internal policies. · Assist in implementing and monitoring controls across Corporate Compliance topics, including Donations, Gifts & Entertainment and Third Parties onboarding · Serve as the point of contact for US CIB employees regarding inquiries related to the Code of Conduct. Risk & Findings Monitoring · Monitor findings arising from Regulatory Exams and/or Internal Audit reviews, supporting the tracking and follow-up of remediation actions to ensure timely closure. · Prepare, as required, summary reports and briefing materials, as required, for senior management and internal committees at both global and local levels. Regulatory & Internal Policies • Support tracking the transposition of internal policy and procedures transposition tracking (Global and/or local) and implementation monitoring. · Assist in ensuring timely updates and alignment with regulatory requirements. Mandatory Training & Certification Oversight · Collaborate on implementing and monitoring mandatory training and certification programs within the US CIB scope. · Track completion rates and ensure compliance with internal requirements; coordinate with relevant stakeholders to address gaps or delays. Reporting & Operational Support · Maintain internal dashboards and control reports (e.g., FTE tracking) · Support data collection, validation, and reporting processes. · Assist in the preparation of presentations and materials for internal committees and senior management meetings at both global and local levels. Profile · Bachelor’s degree in Business, Finance, Law, or related field. · Strong analytical and organizational skills. · High attention to detail and accuracy. · Proficiency in PowerPoint and Excel. · Good communication skills in English and Spanish. 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. With respect to this position in our New York Office, the expected base salary ranges from $120,000 to $130,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications obtained. Market and organizational factors are also considered. In addition to salary and a generous employee benefits package, successful candidates are eligible to receive a discretionary bonus. *Employment eligibility to work with BBVA in the U.S. is required as the company will not pursue visa sponsorship for these positions

Product Manager, Internal Systems & Operations Location: New York, NY, USA Company: AROS Group About Us At AROS Group, a multi-material design-to-manufacture organization headquartered in New York with offices across the globe, we don’t just build products — we redefine industries. We are innovators, challengers, and builders of the future. With a global footprint and a reputation for excellence, we thrive on solving problems that others shy away from. Now, we are building the next generation of operational infrastructure for luxury packaging — a connected suite of internal and client-facing platforms designed to transform how our teams collaborate, deliver, and scale globally. Our group is expanding, and we’re seeking exceptional talent to help shape this next chapter. The Role We’re looking for a Product Manager, Internal Systems & Operations who is more than just a planner — someone who can translate complexity into structure, align teams around execution, and deliver systems that power real operational change. This is a greenfield product role. Today, many of our operational workflows live across Excel, Salesforce, email threads, and institutional knowledge. We are consolidating these processes into a unified internal platform that will power how projects, samples, supplier coordination, and client communication operate globally. You will own the product vision and delivery roadmap for our employee portal and the emerging client and supplier portals, working directly with technical leadership and cross-functional teams to define, prioritize, and ship product increments that transform how AROS operates. Beyond core platform development, you will also contribute to ad-hoc operational and strategic initiatives across the company. This role requires someone who is proactive, sharp, and able to think ten steps ahead — anticipating challenges, identifying opportunities, and moving with clarity and intention. We are not looking for someone to simply manage a backlog. We are looking for someone who can help design the systems our company will run on. What You’ll Do Product Strategy & Roadmap • Define and maintain the product roadmap for internal portals and future client and supplier-facing platforms, aligned to business priorities and phased rollout milestones., • Translate ambiguous internal requests into structured Product Requirement Documents (PRDs) and detailed feature specifications., • Define acceptance criteria, edge cases, and non-functional requirements — including performance, permissions, and data integrity — enabling engineering teams to ship with confidence. Delivery & QA • Lead User Acceptance Testing (UAT) cycles end-to-end: authoring test scripts, coordinating testing across business teams, logging and triaging defects, and owning release sign-off., • Drive phased product rollouts with strong change management, including release notes, onboarding materials, training sessions, and adoption tracking., • Partner with engineering to scope ETL migrations as legacy operational data moves from Excel and Salesforce into the new platform ecosystem. Stakeholder & Change Management • Serve as the primary product contact for internal users, facilitating feedback loops and managing expectations across departments., • Own internal product documentation including training guides, SOPs, and release communications tailored to mixed technical and non-technical audiences., • Build trust across a diverse global team by shipping reliably and communicating proactively. Strategic & Ad-Hoc Initiatives • Support leadership on strategic operational initiatives beyond the core product roadmap., • Identify process inefficiencies, operational gaps, and opportunities for automation or system improvements., • Approach complex challenges with a forward-looking mindset, anticipating dependencies, risks, and downstream impact. Who You Are • A Product Manager or Technical Program Manager with 1–4 years of experience, ideally in enterprise SaaS, internal platforms, or B2B product environments., • Demonstrated ability to write clear, structured PRDs and feature specifications that engineering teams can execute without ambiguity., • Comfortable navigating relational data models, with working knowledge of SQL., • Familiar with JavaScript, React, and REST APIs, with the ability to read components, understand data flows, and engage credibly with engineers on scope and feasibility., • Experience owning a product backlog and running agile workflows in tools such as Azure DevOps, Jira, or similar platforms., • Strong written communication and documentation discipline., • Comfortable using Excel and PowerPoint as operational tools, not just presentation tools., • Proactive, quick-thinking, and intellectually curious, with the ability to anticipate problems before they arise., • A systems thinker who approaches challenges with a 10-steps-ahead mindset, balancing speed, precision, and long-term impact. Nice to Have / Differentiators • Experience prompting or integrating LLMs and building internal prototypes using AI-assisted development tools such as Cursor or GitHub Copilot., • Experience using AI to accelerate specification writing, test generation, or data analysis workflows., • Prior exposure to Salesforce, SAP, or similar enterprise platforms, particularly in migration or consolidation contexts., • Familiarity with operational workflows in made-to-order, sample-driven, or client-specification B2B environments., • Understanding of Azure, CI/CD concepts, GitHub workflows, or API fundamentals., • Experience with Supabase or similar managed backend platforms., • Experience guiding non-technical teams through system transitions, including training, communication planning, and adoption measurement., • Ability to write lightweight scripts for data transformation, automation, or ETL validation. Why AROS Group • Shape the operational systems powering a global luxury packaging company., • Work at the intersection of design, manufacturing, and technology in a fast-growing organization., • Collaborate with world-class teams across New York, Europe, and Asia., • Be part of a culture that prizes precision, execution, and innovation — no compromises., • Competitive salary, comprehensive benefits, and strong opportunities for career growth. The Challenge This isn’t a role for someone who wants to maintain the status quo. You will be building systems that reshape how a global company operates — defining processes, driving adoption, and solving operational complexity at scale. We expect speed, rigor, and strategic thinking. You will need to anticipate challenges before they appear, navigate ambiguity with confidence, and deliver solutions that move the organization forward. If you thrive on translating ambiguity into structure, aligning teams around execution, and shipping products that make organizations run better, this is your stage. How to Apply Send your CV and a cover letter that proves you’re not just another candidate — but the candidate — to with the subject line: “Product Manager – New York.”

Looking to step into a role where you own the full design lifecycle and have real influence on cutting-edge space systems? Our client is hiring a Senior Electrical Engineer to join their space engineering team, supporting the development of advanced fluid control systems. What You’ll Be Doing as a Senior Electrical Engineer: You’ll be embedded within a project team as the primary electrical engineer, taking ownership from requirements through final validation. Your work will include: • Designing and developing control systems for motor-operated valves, • Leading architecture, circuit design, and system integration, • Supporting both new product development and enhancements to existing systems, • Collaborating cross-functionally with ECAD, mechanical, and systems teams Requirements of the Senior Electrical Engineer: • Experience with motor design and control systems, • Strong CCA-level circuit design (board-level ownership), • Solid background in analog circuit design, • Experience working with sensors in control environments, • Ability to work both independently and cross-functionally Whats In It For You as a Senior Electrical Engineer: • High ownership: Be the go-to electrical engineer on your projects, • Growth opportunity: Get in early and help shape the future of this project team, • Autonomy: Work with a high degree of independence while collaborating across engineering groups, • Career mobility: Engineers here have successfully moved across teams and grown internally If you're looking for a role where you can own designs end-to-end, work on meaningful hardware, and grow quickly within a strong engineering organization, this is worth a conversation. Please get in touch with Rabeel Imrane, +1(626)630-8659,

Director of Maintenance – Bakery Manufacturing Role Summary The Director of Maintenance is responsible for providing strategic and hands-on leadership for all maintenance, reliability, and automation operations within the bakery facility. This role ensures the safe, reliable, and efficient operation of production equipment, utilities, and automated systems supporting 24/7 manufacturing. Success is demonstrated through measurable improvements in equipment reliability, repair efficiency, cost control, and safety. This role also develops and implements structured training programs to strengthen technician skills in troubleshooting, automation, controls, and reliability best practices. The Director of Maintenance leads preventive and predictive maintenance programs, manages breakdown response, oversees maintenance systems and inventory, and supports capital projects, construction, and equipment installations. This position requires strong technical expertise, disciplined leadership, and a proactive reliability mindset. Key Priorities · Drive equipment reliability and up time across all production and utility systems. · Establish a world-class preventive and predictive maintenance culture. · Lead maintenance teams with a strong focus on safety, accountability, and continuous improvement. · Support long-term automation and plant growth strategies. · Ensure compliance with food safety, electrical safety, and machine safety standards. Primary Responsibilities Maintenance & Reliability Leadership · Plan, manage, and continuously improve the preventive maintenance program to maximize equipment reliability and minimize downtime. · Direct and coordinate all corrective maintenance activities across production and facility systems. · Establish and lead structured root cause analysis (RCA) processes to eliminate repeat failures. · Develop, track, and analyze maintenance KPIs related to downtime, MTTR, MTBF, and PM effectiveness. Technical & Equipment Oversight · Provide technical leadership for bakery production equipment. · Ensure proper operation, maintenance, and reliability of compressed air, steam, water, and other critical utilities. · Oversee maintenance and performance of robotic systems and automated production lines, including pick-and-place robots, automated packaging, and material handling systems. · Develop and coordinate preventive and predictive maintenance strategies for the entire facility, reducing unplanned downtime and extending equipment life. · Coordinate preventive and predictive maintenance programs for all equipment. Projects & Capital Execution · Plan and manage construction-related maintenance projects, facility upgrades, and equipment installations. · Coordinate with engineering, contractors, and vendors to ensure projects are completed safely, on schedule, and within budget. · Support commissioning, start-up, and validation of new equipment and production lines. People Leadership & Development · Lead, mentor, and develop maintenance leadership and technician teams. · Lead training and skill development initiatives for maintenance technicians across all production and facility equipment systems. · Foster a culture of ownership, accountability, and continuous learning within the maintenance organization. · Partner cross-functionally with Operations, Engineering and Quality Teams. Qualifications Required · Bachelor’s degree in Electrical Engineering and/or Mechanical Engineering. · Minimum 10–15 years of maintenance experience in food manufacturing (preferred), pharmaceutical, or industrial manufacturing environments. · Minimum 5–7 years in a maintenance leadership or management role. · Strong technical knowledge of bakery or food manufacturing equipment and utilities. · Proven track record of implementing and improving maintenance and reliability practices. · Demonstrated leadership skills with the ability to lead teams in fast-paced, 24/7 manufacturing environments. · Strong communication, organizational, and problem-solving skills. · High work ethic, flexibility, and ability to multitask effectively.

Overview A global financial institution is hiring a senior professional to join its capital analytics and regulatory reporting function, focused on enterprise-level risk-weighted asset (RWA) frameworks across credit and market risk. This role sits at the intersection of capital regulation, regulatory analytics, transformation initiatives, and reporting automation. It’s a high-impact seat supporting regulatory capital calculations, framework modernization, and next-generation regulatory readiness initiatives. This is not a pure reporting role — it’s a regulatory analytics + transformation + governance role. Responsibilities • Execute enterprise-level capital and risk-weighted asset calculations across credit and market risk, • Support regulatory capital ratio production and capital adequacy analytics, • Partner with transformation teams on calculation automation and platform modernization, • Support regulatory framework changes and rule interpretation, • Participate in requirements gathering, testing, and validation of calculation systems, • Partner with technology teams on implementation and integration efforts, • Build governance structures, controls, and validation processes around calculations, • Develop exception reporting, monitoring frameworks, and impact assessments, • Evaluate regulatory change impact on capital calculations and methodologies, • Drive process optimization, automation opportunities, and operational efficiency, • Support enterprise alignment between regulatory policy, analytics, and reporting Qualifications • 6+ years in regulatory analytics, capital reporting, or risk-weighted asset environments, • Direct experience with RWA frameworks across credit and/or market risk, • Background in financial services, banking, or regulatory advisory environments, • Exposure to regulatory transformation, automation, or modernization initiatives, • Bachelor’s degree in Finance, Accounting, Risk, or related discipline, • Advanced Excel and analytical tooling skills, • Strong cross-functional collaboration and stakeholder management experience, • Experience working across Finance, Risk, IT, and Regulatory teams, • Ability to operate in fast-paced, regulated environments, • Strong governance, control, and documentation mindset

Key Skills • Accounting / Finance background (CPA preferred), • Strong understanding of US GAAP, • Support the transition from a legacy General Ledger system to a new platform, • Assist in evaluating and improving accounting processes to drive efficiency and automation, • Work closely with internal accounting teams to ensure accurate data mapping, validation, and reconciliation, • Analyze and structure financial data to support AI-driven initiatives, • Act as a liaison between accounting stakeholders and technical teams to ensure alignment on requirements and outputs, • Contribute to documentation of workflows, controls, and system changes, • Bachelor’s degree in Accounting, Finance, or related field, • CPA or CPA track preferred, • 1–3 years of experience in accounting, ideally from public accounting (Big 4 or similar strongly preferred), • Strong understanding of US GAAP and core accounting principles, • Advanced Excel skills (VLOOKUPs, Pivot Tables; VBA a plus), • Strong communication skills with the ability to work across both accounting and technical teams, • Exposure to a high-impact finance transformation initiative, • Opportunity to work at the intersection of accounting and emerging technology, • Strong visibility across accounting, finance, and innovation teams, • Ideal for someone looking to move beyond traditional accounting into systems and process-focused work

About ues.io ues.io provides a next-generation no-code/pro-code Agentic MCP native application development platform built for extensibility. Unlike traditional no-code/low-code products that limit users to stock functionality, ues.io empowers builders to create complex, production- ready applications—and avoid the “last 10% trap.” Our differentiator: customers are not restricted by platform limitations. Instead, they are empowered to customize and extend their apps via JavaScript/TypeScript, custom and/or third-party modules/components, and advanced AI-powered features. Extensibility is a key to our mission at ues.io making it the platform of choice for teams who want the best of both rapid visual development and true flexibility. Role Overview As a Senior AI Developer at ues.io, you will design, prototype, and productionize transformative AI-driven features at the heart of our product. You will build the intelligence that allows users to create, edit, analyze, and extend applications simply by describing what they want—using natural language and context. You will work hands-on in TypeScript & React (front end), Golang & Python (back end), and additional languages/frameworks to build, integrate, and operationalize these features throughout the user and developer experience. Working closely with UI/UX, engineering, and product peers, you will ensure our AI agents, builder, and analytics tools are not only powerful, but extensible and trustworthy—helping users realize their vision faster, with more flexibility, and less friction. Requirements Nice to Have • Hands-on experience with AI-powered app/page builders, • Architect the next wave of AI-driven no-code/pro-code app development., • Join a remote-first, globally distributed, product-obsessed team. To Apply: NB: You need to be eligible to work in the USA, UK or SA. Send your resume, cover letter describing your most impactful AI-driven feature work (especially with Go, TypeScript, and React), and any relevant project/portfolio/code links. Tell us how you will make ues.io the platform that unlocks truly intelligent app building for everyone.

Our client, an American retailer that owns and operates 4 brands that are well known, is looking for someone to join their team as a Production BOM Assistant in New York City! In this role you will be responsible for the BOM data entry and management throughout the entire product development lifecycle. What You Will Be Doing • Maintain a high level of attention to detail, demonstrating strong competency in data input accuracy and validation across systems and documentation., • Manage workflows effectively by prioritizing tasks and deadlines, ensuring timely completion of deliverables in a fast-paced environment., • Utilize and maintain information within Product Lifecycle Management (PLM) systems, ensuring data integrity, version control, and alignment with design updates., • Act as a proactive communicator, providing clear status updates, flagging risks early, and collaborating effectively with internal teams to drive alignment and execution., • Support continuous process improvement by identifying opportunities to enhance efficiency, accuracy, and cross-functional collaboration. Required Skills & Experience • Bachelor's degree, • 1+ year of similar experience, • PLM system knowledge, • Retail experience Motion Recruitment Partners is an Equal Opportunity Employer, including disability/vets. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under Motion Recruitment Employment Accommodation policy. Applicants need to make their needs known in advance.

Systems Engineer – Enterprise IoT & Infrastructure (L2–L3) NYC, NY (Onsite – physical device handling required) What are the top 3 skills required for this role? 1. Strong experience with Windows and Linux server engineering, 2. Solid networking fundamentals, including Layer 3 concepts (routing, subnets, DNS, DHCP), 3. Hands on experience with IoT devices / hardware configuration and troubleshooting Role Overview • We are seeking an experienced Systems Engineer with strong expertise in enterprise IoT infrastructure, server engineering, and networking to support and implement IoT/OT solutions for a global financial services environment., • This is not a traditional Windows Administrator or L1 support role. The position requires L2 to early L3 technical depth, combining architectural understanding with hands‑on implementation, troubleshooting, and operational support across devices, networks, servers, SaaS platforms, and security frameworks., • The role supports enterprise‑grade IoT deployments, including device configuration, patch testing, secure integrations, and rollout activities, while working closely with internal teams, vendors, and stakeholders. Key Responsibilities • Support and implement enterprise IoT/OT device infrastructure, including configuration, maintenance, patching, and troubleshooting, • Translate architectural designs and requirements into operational and technical implementations, • Perform patch testing, deployments, and validation of devices and supporting infrastructure, • Troubleshoot complex issues across device, network, server, and platform layers, • Work with APIs, SaaS platforms, and hybrid cloud environments to enable secure integrations, • Support physical device handling, reformatting, and refurbishment (NYC & London roles) using defined documentation and procedures, • Collaborate with network, security, platform teams, and external vendors to resolve issues and support rollouts, • Create and maintain technical documentation, runbooks, and operational process guides, • Ensure compliance with enterprise security standards, including authentication, authorization, and encryption requirements, • Participate in migration, refurbishment, and new rollout projects for IoT platforms and devices Required Technical Skills • Strong experience with Windows and Linux server engineering, • Solid networking fundamentals, including Layer 3 concepts (routing, subnets, DNS, DHCP), • Hands‑on experience with IoT devices / hardware configuration and troubleshooting, • Working knowledge of APIs, system integrations, and technical environments, • Experience with SaaS platforms and enterprise authentication protocols (SAML, OIDC), • Understanding of firewalls, proxy servers, and load balancers in enterprise environments, • Proven experience operating in L2 / early L3 support models, • Knowledge of security fundamentals, including encryption, authentication, and authorization Experience & Profile • 4–8+ years of experience in Systems Engineering, Infrastructure Support, or IoT/OT environments, • Strong analytical and troubleshooting skills across multiple technology layers, • Ability to work independently while collaborating with global teams, • Comfortable supporting production enterprise environments with high security and reliability expectations Role Classification • Level: L2 to early L3, • Focus Area: Enterprise IoT / OT Infrastructure (not end‑user support), • Work Type: Combination of implementation, advanced support, and operational engineering

Job Title :: Technical Project Manager - AWS Location :: Fort Mill, SC/New York, NY/Austin, TX (3 days onsite) Experience: 13+ years Job Type :: Full time About the Role We’re looking for a hands-on Technical Lead who lives and breathes AWS data engineering and modern AI. You’ll architect, design, and deliver cutting‑edge data + AI solutions while guiding a sharp team of engineers. If Glue jobs, PySpark magic, serverless wizardry, Python scripts and AI/ML operationalization excite you—you’ll feel right at home. What You’ll Own & Lead: Architecture & Delivery • Drive end‑to‑end architecture for ingestion, transformation, analytics, and AI‑powered data products., • Build high‑performance ETL/ELT pipelines using AWS Glue, Python, and PySpark., • Craft serverless data services with Lambda, API Gateway & Step Functions., • Bring AI into real products: RAG pipelines, embeddings, inference endpoints, and more., • Champion testing, data quality, observability, and lineage., • Mentor engineers, lead sprints, and elevate the team’s technical bar., • Work closely with Product, Security, and Architecture to turn ideas into reality. What we are looking for • 13+ years in data engineering/backend engineering, including 4+ years leading technical teams and driving architecture decisions., • Deep, hands‑on expertise across AWS Data services & AI:, • AWS Glue (Jobs, Crawlers, PySpark), Lambda (Python), Athena, S3, Glue Data Catalog § Python for data engineering (PySpark) and service development, • ETL/ELT design patterns, orchestration (Step Functions / Airflow), and dimensional + Lakehouse modeling § Data migration strategies, validation frameworks, and rollback planning, • Data lake architecture: Parquet, partitioning, with familiarity in Iceberg, • IaC with Terraform / AWS CDK and CI/CD pipelines (CodePipeline, GitHub Actions, Azure DevOps), • Hands‑on experience with modern AI technologies and emerging AI tooling Regards, Manvendra Singh

Principal, Business Consulting – Payments Functional Program Manager Practice: Financial Services, Infosys Consulting Focus: High Value Payments (HVP) Modernization | ISO 20022 | COTS on Microservices | Agentic AI Role Summary Infosys Consulting’s Financial Services practice is seeking a seasoned Functional Program Manager to lead a Payments Modernization program for a Tier 1 financial institution. You will drive the replacement of legacy mainframe systems with a COTS product, and forward engineer rail agnostic capabilities on a cloud/microservices platform, incorporating agentic AI to enable intelligent, future ready payment flows. This is a high impact, client facing role(s) requiring deep payments expertise, strong program leadership, and a track record of delivering complex transformations in regulated environments. What You’ll Do • Own the client relationship across transformation delivery, BAU change, and support for a large U.S. bank; manage senior stakeholder expectations while maintaining profitability and growth., • Lead platform modernization that includes but not limited to reverse engineering of legacy mainframe platforms, forward engineering, COTS product implementation, and upstream/downstream integrations., • Direct ISO 20022 adoption and certification (e.g., Fedwire/FedNow, CBPR+); guide product configuration and customization—especially for ACI MTS and UPF., • Govern program financials: budgeting, milestone billing, forecasting, pipeline management, and margin integrity., • Set payments architecture direction: advocate rail agnostic orchestration, microservices patterns, cloud deployment models, and event driven integration., • Shape and integrate agentic AI interventions across journeys (ops automation, dispute/exception handling, reconciliation, data quality, monetization)., • Lead cross functional teams (client & Infosys) to gather requirements, design data maps, ensure traceability, and manage risk/issue remediation., • Support business development: solutioning, proposals, thought leadership, market relevant POVs., • Ensure compliance with PCI DSS/AML/KYC, resiliency, observability, and operational excellence., • Not a pure BA role—we’re seeking leaders who can span program delivery, architecture direction, and domain depth. Role Tracks (You may align to one primary track and flex across others) • Program Management (Payments Modernization), • Drive multi year HVP modernization with COTS, integrations, ISO migrations, certification, and executive governance., • Enterprise / Solution Architecture (Payments), • Define target state (rail agnostic, ISO native), microservices reference architecture, messaging, integration patterns, security, and scalability., • Payments SME / Advisory, • Bachelor’s degree (or foreign equivalent)., • 7+ years in payments/financial services with 3+ years in management consulting at a top tier/professional services firm. (10+ years overall experience preferred for a principal.), • Deep HVP domain expertise: Fedwire/CHIPS, CBPR+, cross border, and ISO 20022 message standards (pacs/camt/pain; mapping, validation, enrichment)., • Delivered at least one end to end ISO 20022 migration for CBPR+ and/or Fedwire/FedNow: experience with certification and market testing. (Cards professionals are welcome with consumer and commercial card solutions E2E implementation experiences), • Hands on experience across payments value chain at enterprise and ecosystem level: origination, processing, clearing/settlement, servicing, messaging—B2B, disbursements, consumer/retail., • Experience with COTS Payment Hubs and processors (e.g., ACI MTS/UPF, Finastra, Fiserv) and complex integration in regulated environments., • Solid understanding of legacy mainframe payment systems and modernization patterns., • Proficiency in program governance & financials, stakeholder management, issue/risk management, and executive communication., • Familiarity with cloud & microservices constructs (e.g., containerization, APIs, event streaming) and DevSecOps/testing management., • Ability to travel extensively., • Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time. Preferred Qualifications • Certifications: PMP/PRINCE2/SAFe; TOGAF 9.2/10 (for architecture track); ISO 20022 certifications; BIS/Fed or equivalent; Agile delivery., • RTP expertise: TCH RTP and FedNow implementation; vendor experience (Finastra, Fiserv) is a plus., • Liquidity/Treasury: Nostro/Vostro, cash & liquidity management, payables/receivables, collections., • Cross rail expertise: HVP, mass payments (ACH), immediate payments (RTP/FedNow), P2P, card (retail & commercial), tokenization, stablecoins (awareness)., • Data & Engineering: lineage, quality, metadata, monetization; Kafka/event streaming; API management; observability; resiliency engineering., • AI in Payments: Machine Learning & Predictive Modeling (fraud, risk, anomaly detection, forecasting); GenAI/LLMs for ops automation, dispute handling, policy interpretation, developer/API copilots, and RAG; Reverse/forward engineering accelerators; MLOps and responsible AI (XAI, bias/fairness)., • Firm building: pre sales, POVs, conference visibility, industry research. Core Skills & Ways of Working • Thought leadership and structured problem solving; crisp storytelling for C Suite., • Numbers driven program leadership: budget, schedule, scope, and benefits realization., • Stakeholder management across technology, operations, risk/compliance, product, and external networks., • Hands on orientation with the ability to go deep on requirements, mappings, and validation without losing the big picture. Responsibilities Snapshot (Illustrative) • Stand up and run a multi wave ISO 20022 program (CBPR+, Fedwire, FedNow)., • Lead COTS hub implementation (e.g., ACI MTS/UPF): product fit, customization, integration, certification., • Define target state architecture (rail agnostic orchestration, microservices, APIs, streaming)., • Implement AI/LLM use cases in payments ops, exception management, reconciliation, and data monetization., • Deliver RTP via leading products (Finastra, Fiserv) as an advantage., • Manage DevSecOps and testing services; ensure performance, resilience, and compliance., • Build data maps and transformations for message conversion and canonical models., • Drive pipeline expansion and support pursuits with solutioning and differentiated PoVs. The estimated total annual compensation (Base + Bonus) range for candidates based out on NJ, IL, NY, CA & WA will be $ 154,375 to $ 193,125

No sponsorship/C2C AT A GLANCE: • Product Owner of Back Office Operations & Global Business Finance, • Hybrid in NYC (Midtown Manhattan - in-office 1 day/week until July, then 3 days/week), • 1-year contract, conversion to perm likely, • Market rate, • Needed ASAP, • Financial services experience required THE OFFICIAL JOB DESCRIPTION: Overview We’re a global team of alternative investment managers passionate about delivering uncommon value to our investors and shareholders. With over 30 years of proven expertise across Private Equity, Credit, and Real Assets in various regions and industries, we’re known for our integrated businesses, strong investment performance, value-oriented philosophy, and our people. We’re looking for a Product Owner who can own outcomes, not just artifacts. This role blends product thinking with strong delivery discipline: shaping a roadmap, aligning stakeholders, planning intelligently, and driving execution with transparency. You’ll partner closely with Back Office Operations and Global Business Finance, helping modernize workflows and platforms in a way that is practical, controlled, and genuinely improves how the business runs. Our team has a track record of delivering ~95% of projects on time and under budget. We do that by treating ambiguity as work: we break complex initiatives into two phases—Discovery (to distill the real problem, align stakeholders, and establish a confident plan) and Delivery (to execute with clear milestones, risks, and dependencies). What You’ll Do • Own discovery. Lead structured discovery efforts to clarify problem statements, current-state workflows, constraints, and success metrics—then translate that into a plan stakeholders can believe in., • Set direction. Build and maintain a product roadmap that balances transformation, near-term outcomes, and operational stability., • Run delivery with discipline. Define milestones, manage dependencies, track progress, and surface risks early—without drama or surprises., • Be the connective tissue. Coordinate across business users, engineering, architecture, and leadership; communicate status, tradeoffs, and decisions clearly., • Bring users along. We use agile practices, but not every user group is mature in agile. You’ll build trust through honest conversations, humility, and transparency—helping partners adopt better ways of working over time., • Own the backlog. Translate needs into well-formed epics and stories with clear acceptance criteria; prioritize based on business value, risk, and effort., • Handle conflict well. Navigate competing priorities, resolve disagreements constructively, and keep teams focused on outcomes., • Champion quality and controls. Ensure solutions are operable and auditable where needed—clear definitions, controlled rollouts, and attention to reliability., • Use AI responsibly. Leverage AI tools to move faster (analysis, writing, summarizing, prototyping, documentation), while maintaining strong judgment, validation, and appropriate guardrails. What We’re Looking For • 5+ years in a Product Owner, Product Manager, Program Manager, or Senior Business Analyst role (ideally, in financial services), • Demonstrated strength in planning, budgeting, tracking, and delivery execution—you can run a tight ship without turning it into bureaucracy., • Strong stakeholder management skills: you build rapport, create clarity, and keep diverse groups aligned., • Excellent written and verbal communication; you can make complex work understandable and actionable., • Proven ability to break down complex problems and drive decisions with incomplete information., • Comfort working closely with engineering teams; you don’t need to code, but you should understand how software gets built and shipped., • High integrity and maturity: you’re transparent, consistent, and trusted—especially when things are hard. Nice to Have • Experience supporting Operations, accounting, finance, or other control-oriented business functions., • Experience working in modern delivery environments (CI/CD, cloud platforms, event-driven systems, workflow orchestration, data platforms)., • A track record of driving transformation—process, platform, or operating model—without losing the business in the process. Why Join • Real ownership: You’ll shape meaningful work that impacts day-to-day operations and firm-wide financial outcomes., • Growth through scope: You’ll operate across strategy, discovery, and delivery—building a strong foundation for senior product leadership., • A modern toolbox: You’ll work in a tech-forward environment where AI is embraced as a productivity and innovation accelerator—paired with the judgment required for real-world systems., • A team that delivers: Clear expectations, direct communication, and a culture that values outcomes over theater.