Applied technology jobs in Hoboken, New Jersey - Page 4Create job alerts

Job Description Position Summary A client of AlphaStaffHCM is seeking an experienced Photonic Integrated Circuit (PIC) Test Engineer to test, evaluate and analyze the photonic devices for market and internal quantum applications. This role will collaborate closely with the PIC design and fabrication team to iterate and optimize out internal PDK, customized devices. The test work should be summarized to debug with design team and fabrication team. Key Responsibilities Testing & Characterization • Oversee optical and electrical characterization of fabricated PICs, analyzing performance against design targets., • Identify and implement design or process improvements based on test data., • Develop automated test procedures where applicable., • Collaborate with the fabrication team to estimate the fabrication robustness of the PDK and customized design., • Collaborate with the design team to analyze each fab run and iterate for next run. Required Qualifications • Ph.D. or master’s degree in electrical engineering, Applied Physics, Photonics, or related field., • 3+ years of hands-on experience in PIC test on fiber optics and free space optics, and wafer level testing, • 1+ years of experience with high-speed EOM Characterization with VNA/LCA., • Programming skills for data analysis and automation (Python, MATLAB)., • Strong knowledge of waveguide theory, coupling mechanisms, electrical and photonic device physics. Preferred Qualifications • Experience in quantum and nonlinear photonic systems or related applications., • Experience in packaged hybrid photonic/electronic chip test., • Experience in yield estimation and defect analysis., • Experience in lab equipment remote control and automated test. Key Attributes • Strong communication skills and the ability to influence across teams., • Passion for innovation and pushing the limits of photonic technology. Disclaimers: AlphaStaff, Inc. and the Client are equal employment opportunity employers and do not discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, past or present military service, disability, genetic information, or any other basis protected by applicable federal, state, or local laws.

Job DescriptionWho We AreQvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards. Who we're seekingYou are a driven, organized team-player with a passion to solve complex technology problems. You seek to join a team with the tools to accelerate your career as you develop, build, and implement technology strategies and solutions, while coaching more junior team members and building deep industry & client relationships along the way. What you'll do • Lead project teams through all core project phases, including project setup, requirements gathering, design, development, testing and deployment, • Oversee cross-functional delivery teams, managing scope, budget, and timelines, • Partner with executive clients to design strategic roadmaps, • Facilitate workshops, provide status updates, and lead meetings across the executive levels of client organizations, • Develop high-performing teams, mentoring talent, and fostering a collaborative culture, • Proactively identify risks and issues, and provide mitigation strategies, • Maintain strong client relationships while identifying opportunities beyond your current engagement, • Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancementWhat you'll bring, • 10+ years of project management experience, • 4-6 years+ of experience managing SDLC/system implementation-based projects, • Experience managing high-performing project teams, PMOs, and process optimization initiatives, • Experience managing teams through client-facing activities such as requirements gathering, stakeholder workshops, and deliverable review/approval sessions, • Experience leading and contributing to business development, • Bachelor’s degree in engineering, information systems, computer science, business administration, or other related fieldsPreferred Experience, • Media and/or Entertainment industry experience highly preferred, • Experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PWC)Travel RequirementsEmployees are responsible for traveling to and from client sites as required by their project or assignment, regardless of location. Travel may include sites outside the employee’s primary office location, state, or region. Remote & Hybrid WorkWhile remote or hybrid work may be permitted for certain projects, client needs take precedence. Employees are expected to report onsite at the client location when required by the project scope, client request, or management directive. Life at QvestWe were founded on a culture of collaboration and inclusiveness, and this permeates each of our initiatives, both client-facing and internal. We offer a wide selection of benefits including medical, dental & vision, 401k matching and flexible vacation; we sponsor training to advance our teams’ skill sets and we prioritize our employees’ professional growth paths. Qvest US is currently 300+ people strong and we’ve been recognized as a “Best Place to Work,” a “Great Place to Work,” “Fastest Growing,” and “A Jewel." Equal Employment OpportunityQvest is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Qvest applies this stance to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including internships, at all levels of employment.

Job Description We are Rokt, a hyper-growth ecommerce leader. Rokt is the global leader in ecommerce, unlocking real-time relevance in the moment that matters most. Rokt’s AI Brain and ecommerce Network powers billions of transactions connecting hundreds of millions of customers, and is trusted to do this by the world’s leading companies. We are a team of builders helping smart businesses find innovative ways to meet customer needs and generate incremental revenue. Leading companies drive 10-50% of additional revenue—and often all their profits—from the extra products or services they sell. This economic edge unleashes a world of possibilities for growth and innovation. At Rokt, we practice transparency in career paths and compensation. We believe in transparency, which is why we have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability. Rokt’stars constantly strive to raise the bar, pushing the envelope of what is possible. We are looking for a Sr. Business Development Manager Target total compensation ranges from $167,000 - $307,000, including a fixed annual salary of $105,000 - $150,000, an employee equity plan grant, a variable target, and world-class benefits. Equity grants are issued in good faith, subject to company policies, board approval, and individual eligibility. About the role: Rokt is a unique performance marketing channel helping advertisers diversify spend away from legacy platforms—without compromising on performance. We are still a small share of the overall digital performance ecosystem, which means our highest-leverage opportunity is to make working with Rokt effortless and undeniably valuable. You'll drive revenue by securing strategic partnerships with premium advertisers and helping them unlock new monetization value from their most engaged audiences. You'll need to understand the digital advertising ecosystem, navigate multi-stakeholder media organizations, and position Rokt as a strategic growth partner. You'll own the full sales cycle from prospecting to close, working closely with Product, Engineering, and Customer Success to bring tailored ad solutions to market. You'll develop deep expertise in your vertical, becoming a trusted advisor who can speak credibly to CROs, Head of Monetization, and technical decision-makers alike. Your ability to synthesize and represent publisher feedback will directly shape our product roadmap. We're looking for someone deeply curious, who leads with conviction and thrives when things move fast and change often What You'll Do • Own a revenue target and the entire sales cycle, from outbound prospecting to complex enterprise closes, • Break into new publisher and advertiser accounts while expanding monetization footprint within existing Rokt Ads partners, • Develop and execute vertical-specific GTM strategies, identifying high-value inventory and audience monetization opportunities for Rokt, • Become a trusted advisor to partners: understand their monetization goals deeply, craft tailored ad solutions, and co-innovate on the product roadmap, • Lead with clear recommendations based on industry and market expertise; don't present menus, present solutions, • Prioritize lighthouse partnerships that can serve as category-defining references in key verticals, • Collaborate cross-functionally with Product, Engineering, Marketing, and Applied AI teams to bring new ad products to market, • Develop sales collateral, proposals, and presentations that position Rokt's differentiated value for publishers and demand partners About you: • 4+ years of experience in sales, account management, performance marketing, or consultative commercial roles (experience with performance advertisers, agencies, or adtech/martech strongly preferred)., • Proven ability to drive commercial expansion within an existing portfolio (e.g., growing budgets, renewing and expanding scope, multi-threading senior stakeholder relationships)., • Strong performance marketing fluency: ability to discuss and problem-solve against ROAS/CPA, incrementality/attribution concepts, measurement design, and channel comparability with sophisticated teams., • Excellent executive communication and presence: able to run high-stakes meetings, influence without authority, and create clarity across complex stakeholder groups., • Builder mindset and operational discipline: you proactively remove friction, create scalable playbooks, and thrive in a fast-changing environment where priorities shift based on customer and business needs. About Rokt’stars: As a mission-driven, hyper-growth community of curious explorers, our ambition is to unlock real-time relevancy in ecommerce and beyond. Our bias for action means we are not afraid to quickly venture into uncharted territories, take risks, or challenge the status quo; in doing so we either win or learn. We work together as one aligned team, never letting egos get in the way of brilliant ideas. We value diversity, transparency, and smart humble people who enjoy building a disruptive business together. We pride ourselves on being a force for good as we make the world better. About The Benefits: We leverage best-in-class technology and market-leading innovation in AI and ML, with all of that being underlined by building and maintaining a fantastic and inclusive culture where people can be their authentic selves, and offering a great list of perks and benefits to go with it: • Become a shareholder. Every Rokt’star gets equity in the company, • Enjoy catered lunch every day and healthy snacks in the office. Plus join the gym on us!, • Access generous retirement plans like a 4% dollar-for-dollar 401K matching plan and get fully funded premium health insurance!, • Dog-friendly office, • Extra leave (bonus annual leave, sabbatical leave etc.), • Work with the greatest talent in town We at Rokt choose to create a company that is as diverse and inclusive as the world we live in by attracting, growing & keeping the best talent. Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If this sounds like a role you’d enjoy, apply here, and you’ll hear from our recruiting team.

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

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

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

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

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

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

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

Applied Researcher 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 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).

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

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

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).

Job Description Cleaning and Restoration Technician Benefits/Perks • Quick Advancement, • Generous PTO Company Overview At Voda Cleaning & Restoration we specialize in a wide range of services to keep your home or business clean, fresh, and free from damage. Whether you need carpet and floor cleaning, upholstery cleaning, tile and grout cleaning, water or storm damage restoration, mold mitigation, air duct cleaning, or odor removal, we have the expertise and advanced techniques to deliver exceptional results. Cleaning and Restoration Technician Job Summary Assist in retaining customers by fulfilling the company’s obligations through the timely and effective delivery of restoration services. Cleaning and Restoration Technician Qualifications and Experience • Education and Experience: High school diploma (or GED)., • Mathematical Skills: Adequate math skills. Ability to apply learned techniques to determine appropriate equipment type and number of units., • Computer Skills: Demonstrates basic proficiency in the use of computers, email, and portable devices used to report and record daily activity., • 1 year of floor cleaning experience preferred, and/or some form of specialty cleaning (i.e. Stripping & Waxing Commercial Space Flooring, Air Duct Cleaning, Tile and Grout Cleaning, Upholstery Cleaning, etc.), • Highly Desired Certificates from the Institute of Inspection Cleaning and Restoration Certification (IICRC), • Carpet Cleaning Technician (CCT)* preferred but not required, • Opportunities to advance into:, • Water Damage Restoration Technician (WRT), • Applied Microbial Remediation Technician (AMRT), • Applied Structural Drying Technician (ASD), • Mold Remediation Specialist (MRS), • Complete appropriate cleaning and restoration documentation and authorizations., • Communicate effectively with customers., • Perform basic equipment maintenance., • Perform basic vehicle maintenance., • Inspect completed work., • Complete the technician’s daily log., • Complete Work Orders., • Maintain appearance and stock of appropriate tools, materials, and supplies for company vehicles., • Maintain inventory of related supplies., • Willing to learn and work with the newest equipment and technology in the industry.

Senior AI/ML Engineer Cooley is seeking a Senior AI/ML Engineer to join the Practice Engineering team. Position summary: As a leading technology law firm, Cooley is determined to become a leader in the digital practice of law. Cooley Innovation embraces a culture of customer service excellence, and all members of the department are expected to advance this mission. To that end, the Artificial Intelligence/ Machine Learning Engineer will play a key role in building, deploying, and operating enterprise scale Artificial Intelligence (AI) and Machine Learning (ML) solutions across Azure, AWS, and other cloud and hybrid platforms. This role is highly hands on and execution focused, combining strong software engineering practices with applied AI and ML expertise to deliver secure, scalable, and high performing solutions that support the firm's business and technology objectives. Specific duties and responsibilities include, but are not limited to, the following: Position responsibilities: • Design, build, and maintain production grade AI and ML solutions across Azure, AWS, and other cloud platforms, • Implement end to end AI application pipelines including data ingestion, prompt engineering, evaluation, deployment, and monitoring, • Collaborate closely with engineering, data, and business teams to translate requirements into practical AI and ML implementations, • Write high quality, scalable, and maintainable code for AI and ML workloads, • Optimize performance, reliability, and cost efficiency of cloud based AI and ML services, • Integrate AI and ML solutions with enterprise data platforms such as data lakes, data warehouses, APIs, and streaming systems, • Support AI solution lifecycle management including versioning, prompt iteration, evaluation, and production support, • Apply security, compliance, and data privacy best practices in all AI and ML implementations, • Contribute to technical design discussions and provide guidance on AI and ML implementation patterns, • Stay current with advancements in AI, ML, and cloud technologies and apply them pragmatically, • All other duties as assigned or required Skills and experience: Required: • After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications, • Ability to work extended and/or weekend hours, as required, • Ability to travel, as required, • 5+ years directly applicable experience (e.g., building and deploying AI and ML solutions), • Hands on experience developing AI and ML solutions on Azure and or AWS, • Strong proficiency in Python for building and operating LLM-powered applications and agentic workflows, • Experience integrating LLM applications with enterprise data sources, APIs, and retrieval systems (RAG), • Hands on experience building agentic and LLM-powered applications using frameworks such as LangChain, LangSmith, Pydantic AI, or similar orchestration and observability tooling, • Bachelor's degree in Computer Science, Engineering, Information Systems or related discipline Competencies: • Excellent oral and written communications skills, including technical and user documentation writing, • Strong analytical, problem solving, critical thinking and implementation skills, • Professional demeanor, • Excellent attention to detail, follow-up, organizational and communications skills, • Ability to work independently and under pressure, • Ability to solve problems independently and simultaneously, • Entrepreneurial by nature, • Ability to organize, prioritize and coordinate multiple activities often under tight timelines, • Ability to drive projects to completion and achieve goals, • Strong judgment, • Team-player with collaborative spirit, • Unwavering ability to handle and maintain confidentiality regarding firm information, projects,, • client data, • High level of professionalism at all times, • Effective presentation skills Cooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices. EOE. The expected annual pay range for this position with a full-time schedule is $145,000 - $210,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate. We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.

Title: Academic Advisor - SBET Department: School of Applied Engr & Tech Reports To: Associate Professor Position Type: Staff Position Summary: The Academic Advisor will provide academic advising and registration support for SAET first-time and transfer undergraduate students. The position includes organizing and participating in recruitment activities at high schools, county colleges, and NJIT events. The individual will also coordinate the department's undergraduate research activities, and Experiential Learning opportunities (e.g. NJIT-Makerspace) by SAET students. Essential Functions: -Oversee and conduct undergraduate student academic and career related advisement for the School of Applied Engineering and Technology (SAET) with a focus on the Built Environment Division (SBED) (Approximately 600 students). The SBED programs will include Construction Engineering Technology (CET), Construction Management Technology (CMT), Concrete Industry Management (CIM), and Surveying Engineering Technology (SET). -The individual will also coordinate student recruitment activities including open houses, first-year and transfer student functions. -Serve as a liaison with the Admissions Office and Career Development Services. -Coordinate department's undergraduate related department functions such as workshops, seminars, and commencement. -Coordinate department's undergraduate research activities, and facilitate use of the NJIT Makerspace by SAET students. Additional Functions: -Monitor student enrollment and retention on a monthly basis to ensure consistency, help identify fluctuations, and support a resolution accordingly. -Coordinate academic help sessions and tutoring of undergraduate students. -Coordinate a Built Environment Program if needed. -Perform other aligned activities at the direction of the Chair. Prerequisite Qualifications: -Bachelor's degree in Engineering, Engineering Technology, or related field. -Understanding of Engineering Technology curricula. -At least five years of experience working in an academic environment, preferably at a community college. -Understanding of current trends in Academic Advising and higher education. -At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position. Preferred Qualifications: -MS degree in Engineering, Engineering Science, or related field is preferred. -Industrial experience in the Built Environment is preferred. -Certifications are a plus. -Professional Land Surveyor is preferred. -Experience in teaching undergraduate engineering and/or engineering technology courses is preferred. Bargaining Unit: PSA Range/Band: 20 Salary Information: In compliance with the NJ Pay Transparency Law, the negotiated annual salary range for this position is $63,129.05-$102,796.62 (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items. To learn more about the comprehensive benefits NJIT offers for this position, please visit our benefits page: . FLSA: Exempt Apply NowShare Save Job

Title: Adjunct Instructor in Engineering Ethics Department: Humanities & Social Sciences Reports To: The Department Chair Position Type: Faculty Position Summary: A national leader in public STEM education, the New Jersey Institute of Technology (NJIT) is one of three R1 universities in New Jersey and is located in Newark, the largest city in the state and a central hub within the New York City metropolitan area. NJIT's Department of Humanities and Social Sciences invites applications for Adjunct Instructors to teach engineering ethics. The department's courses in engineering ethics are designed to ensure the success of all undergraduate students at a top-tier public polytechnic academic institution. Candidates are expected to have an appreciation for the full range of engineering disciplines, as well as computer and data science, applied science, business management, and architecture and design. Essential Functions: The Department of Humanities and Social Sciences is an interdisciplinary community of researchers and educators that encourages state-of-the-art pedagogy consistent with the aims of a technology-intensive university. Candidates should be able to demonstrate prior experience teaching engineering ethics or related courses at the university level and documented success through course evaluations, peer assessment, or other means. Candidates must abide by the university's core values, which include excellence, integrity, civility, social responsibility, diversity, and communication. Prerequisite Qualifications: • Candidates should have a Master's degree in applied philosophy, science and technology studies, engineering management, safety science, legal studies, or a closely related field. PhD preferred., • Key criteria for selection will include experience teaching at the university level and evidence of success working with a student population that reflects the diversity of our metropolitan region., • At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position. Bargaining Unit: AFT-UCAN Salary Information: In compliance with the NJ Pay Transparency Law, the rate for this position is $2668 per contact hour (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items. FLSA: Exempt Part-Time Apply NowShare Save Job

Title: Data Collector Department: Civil & Environmental Engineering Reports To: Associate Professor, School of Applied Engineering & Technology Position Type: Staff Position Summary: The Data Collector will be responsible for completing seat belt usage data collection with accuracy. As a reliable and honest member of the team, the Data Collector will use personal vehicles to drive themselves and other data collectors to locations and performs seat-belt usage of New Jersey's drivers and passengers while NJIT reimburses the milage usage. The position is required to always observe safety distance away from the roadway. Essential Functions: -Drives oneself and other data collectors to locations across New Jersey including Bergen, Essex, Morris, Passaic, Union, Middlesex, Monmouth, Ocean, Somerset, Atlantic, Burlington, Camden, Cumberland, Gloucester and Salem County from June 1, 2026 to approximately July 15, 2026. Looking especially for teams to work in Atlantic, Burlington, Camden, Cumberland, Gloucester and Salem County. These teams would not travel to northern New Jersey. -Performs data collection on seat-belt usage of New Jersey's drivers and passengers. -Involves observing drivers and passengers in their vehicles to determine seat belt usage. -Stands at a safe distance from the roadway to observe seat belt usage. -Performs duties 7 days a week between 9:00 am and 5:00 pm with flexibility on days available to work. -Attends mandatory training. -Any additional responsibilities as required by management. Prerequisite Qualifications: -Having a personal vehicle to travel to the site is required. -Proof of driver's license and vehicle registration must be provided. -Must be able to stand and observe seat belt usage of vehicles traveling on the roadway. -Must be able to stand for 40 minutes at a time while the data collection is being completed. -Reliability, honesty, attention to details, and enthusiasm for hard work is required. -At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the university an equivalent combination of education and experience specifically preparing the candidate for success in the position. Salary Information: In compliance with the NJ Pay Transparency Law, the hourly rate/range for this position is $20 (USD) for those who are driving themselves and others and $16 (USD) for those who are only data collecting. NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items. FLSA: Non-Exempt Part-Time Apply NowShare Save Job

The Innocence Project works to free the innocent, prevent wrongful convictions, and create fair, compassionate, and equitable systems of justice for everyone. Our work is guided by science and grounded in anti-racism. Since our inception, the Innocence Project has used DNA and other scientific advancements to prove wrongful conviction. To date, we have helped to free or exonerate more than 250 people who, collectively, spent more than 3,600 years behind bars. Our efforts have led to the passage of more than 200 transformative state laws and federal reforms. Today, the Innocence Project continues to fight for freedom, drive structural change, and advance the innocence movement. To learn more, please visit ___. The Center on Race, Inequality, and the Law at NYU School of Law ("The Center") engages in research, public education, advocacy, and litigation to advance its mission of shaping how people understand, diagnose, and address issues of race and inequality. The Center's priorities include: shaping the public discourse and consciousness around race and inequality; addressing the influence of race and inequality in the criminal legal system; confronting the racial justice implications of technology and algorithmic decision-making tools in the criminal legal system and other systems that govern people's lives; challenging the forces that drive racial segregation and economic disadvantage in communities of color; and infusing legal education with a racial justice lens. Throughout the history of this country, racial bias and discrimination has played an arbitrary and pernicious role in the administration of the criminal legal system and has contributed to the problem of wrongful conviction. Two-thirds of the 254 people freed or exonerated by the IP are people of color and 58% are Black. According to the National Registry of Exonerations, Black people comprise 47% of all known exonerations since 1989, even though they make up just 13% of the U.S. population. Furthermore, Black people are seven times more likely to be wrongfully convicted of murder than white people; a Black person convicted of sexual assault is 3.5 times more likely to be innocent than a white person convicted of such a crime; and innocent Black people are 12 times more likely to be wrongfully convicted of drug possession than innocent white people. The work of the IP has uncovered racial (and other) bias in prosecution, policing, indigent defense, and forensic science. To further advance the mission of the IP, the (Special) Advisor on Race and Wrongful Conviction will serve as an advisor, thought leader, expert and in-house resource on racial justice, equity, bias and discrimination and its impact on the functioning of the criminal legal system and, particularly, wrongful conviction. The (Special) Advisor on Race and Wrongful Conviction will set the vision for this work and will collaborate with the IP staff to ensure that the substantive work of the organization is consistently guided, informed, and supported by rigorous historical, academic, forensic and social science research and scholarship, legal decisions, and policies/practices that explain, expose, ameliorate and ultimately eliminate racial bias as a factor in criminal legal system decision making. Thus, for example, the (Special) Advisor on Race and Wrongful Conviction will advise on methods to help ensure that the IP's intake procedures surface cases where racism may have contributed to the wrongful conviction of an innocent person, that litigation strategies take into account the latest law and science on racial bias and discrimination, that our social work policies and practices are informed by the unique challenges posed by discrimination and unconscious bias and that our policy work and education campaigns contribute to dismantling systemic racism. The (Special) Advisor on Race and Wrongful Conviction will support and advise all Departments of the IP, including the program teams, but will not play an active role in litigation or policy advocacy campaigns. The (Special) Advisor on Race and Wrongful Conviction is not responsible for the development of internal diversity, equity and inclusion policies, practices or procedures. The (Special) Advisor on Race and Wrongful Conviction will report to the Executive Director of the IP, and will be a member of the IP's Executive Department. As a Visiting Scholar to NYU, the (Special) Advisor on Race and Wrongful Conviction will also collaborate with the NYU Center Executive Director and Faculty Director to produce scholarly writing regarding the role of race in wrongful convictions. The program for visiting scholars extends specified courtesy titles and privileges to scholars of distinction who visit New York University in order to engage in research and scholarship, and in general scholarly and cultural interaction with New York University's faculty and students. For more information about this program, please click ___. As part of the collaboration between the Innocence Project and The Center, this position is a two-year fellowship. At the end of the fellowship period, possible extension of full-time employment with the Innocence Project will be discussed with the Innocence Project's Executive Director. We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas and we are not an e-verify employer. The duties of this position require approximately 40 hours of work per week to be performed virtually/in-office. We currently have a hybrid in-office model, with all employees in the office three days per week and the remainder of the week remotely. Wednesday is our organization's "anchor day" where all staff works in the office. The number of required in-office days is subject to change. The Innocence Project seeks a dynamic thought leader and subject matter expert on racial injustice and the intersection of race, civil rights, and criminal justice and wrongful conviction. The ideal candidate will have experience and passion around teaching, training, and/or disseminating research on these topics to broad audiences. In addition, the ideal candidate models our IP Values of accountability, collaboration, empathy + compassion, equity, person-centeredness, quality focus, and self-awareness. All Innocence Project employees must embrace, respect and value the rich diversity of perspectives and lived experience of our staff. We recognize and appreciate that our work is better for having varied participants and thought partners. The ideal candidate is someone who thrives in this type of environment. • Provide ongoing expertise, thought leadership, and strategic vision to various program directors and executive leadership on the role of racial bias and discrimination in the administration of the criminal legal system and the ways in which it contributes to the wrongful conviction of innocent people., • Build and maintain strong and effective relationships with organizations, academics, researchers, attorneys, organizers, policy advocates and other experts that specialize in the operation of racial bias and discrimination in the criminal legal system and decision making., • Continuously monitor state and federal court decisions addressing novel and/or significant claims of racial bias and discrimination in (and relating to) criminal justice and the wrongful conviction of innocent people., • Continuously monitor emerging legal, historical, forensic and social science research and scholarship, and policy landscape regarding the impact of racial bias on decision making especially as applied to the criminal legal system and the wrongful conviction of innocent people., • Provide regular verbal and written updates, trainings and resources to IP and Center staff regarding relevant research., • Produce lay and academic publications and original research on the role of race in wrongful convictions, including co-publishing with NYU Center and IP., • Collaborate with IP Departments on cases, campaigns and strategies involving race, racial bias/discrimination as they lead to wrongful conviction., • Collaborate with the NYU Center on research and thought leadership regarding race, racial bias/discrimination as they lead to wrongful conviction., • Attend relevant trainings, conferences and conventions regarding the ways in which racial bias and discrimination in the criminal legal system contributes to the wrongful conviction of innocent people, bring these learnings into the IP's work and position IP as a participant in and contributor to these larger conversations., • To align with NYU's policy for visiting scholars, a J.D. degree and admission to practice in New York or eligibility for membership in the NY bar via waiver within 6 months of start date is required, • 8+ years of progressive responsibility in academia, policy advocacy and/or litigation in areas at the intersection of racial justice, civil rights and criminal justice, • A sophisticated analysis and knowledge of racial injustice in America, its history and manifestations, and efforts to address it, • Demonstrated history of collaboration with communities of color on race, criminal justice and civil rights, • Demonstrated project and time management skill, including organization, attention to detail, and follow-through, • Demonstrated experience in creative problem solving, strategic flexibility, and good judgment, • Experience with strategic planning, • Willingness to travel as necessary for speaking events, meetings, and conferences., • Must be legally authorized to work in the U.S., • Subject matter expertise in racial injustice and the intersections between criminal justice, civil rights and race, • Excellent written and oral communications skills, and the ability to effectively communicate complex issues to diverse audiences, • Excellent research and analytical skills, • Enthusiasm for the work of the IP and for social justice, including a demonstrated commitment to public interest, • Shares in the IP's values of accountability, collaboration, empathy + compassion, equity, person-centeredness, quality focus, and self-awareness, • Enthusiasm for the work of the Innocence Project and for social justice, including a demonstrated commitment to public interest, • Shared commitment to the IP's values of accountability, collaboration, empathy + compassion, equity, person-centeredness, quality focus, and self-awareness The salary for this position is highly competitive and the Innocence Project offers an excellent benefits package, including fully-paid individual health, dental and vision insurance, Flexible Spending Account, 401k plan with 6% company-match, paid disability and family care leave, adoption and fertility expense reimbursements, and company-paid transportation benefits. The Innocence Project considers the diversity of its workforce to be vital to our organization's success in meeting its mission. We strongly encourage applicants from all cultures, races, educational backgrounds, life experiences, socio-economic classes, sexual orientations, age, gender, and physical abilities to apply. Individuals with personal connections to the criminal legal system are strongly encouraged to apply. As an Equal Opportunity Employer, it is our policy not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, national origin, age, disability, familial status, marital status, predisposing genetic characteristics, actual or perceived domestic violence victim status, unemployment status, caregiver status, or any other category protected by law. Upon submission of your application you will be requested to complete an Equal Employment Opportunity (EEO) survey. This survey is part of our commitment to fostering a diverse and inclusive workplace. The information you provide is voluntary and confidential. Completing the survey helps us track our progress in creating a fair and equitable environment. This data is used for reporting purposes only. Please note, the identities presented in the survey reflect federal language required by law. The Innocence Project acknowledges that not all identities are included and any reference to gender explicitly refers to biological sex. We recognize these terms are limited and we strive to humanize our internal practices. Your completion of the survey is greatly appreciated. To apply, please click 'Apply for this Job' below. Upload a resume titled with your name in this format (last name_first name_resume). In the space provided, add a cover letter expressing your interest in the role and the organization's work. Only applications with cover letters will be considered complete applications. Information submitted through this secure site is kept confidential. For candidates considered at the Advisor on Race and Wrongful Conviction level (8-12 years experience): $127,500 - $150,000 For candidates considered at the Special Advisor on Race and Wrongful Conviction level (12+ years experience): $151,725 - $178,500

Title: Theatre Arts and Technology Adjunct Instructor - Theatrical Design Fundamentals Department: Theater Reports To: Director of Theatre Position Type: Faculty Position Summary: This position teaches our Theatrical Design Fundamentals class, which is an introduction into the process and techniques of design in the theatre, both conceptually and operationally. This continuum of the conceptual/cerebral understanding of the skills along with providing experience in the applied and experiential aspects of the design is foundational to the program's pedagogy. This class is best taught by a practicing professional designer with experience in multiple areas of design (scenic, lighting, costume, sound, props) who also has interest/experience in teaching. The course will be developed and taught by the instructor in consultation with the Director of the program. This position is on campus and teaches face-to-face. Essential Functions: Functions include, but are not limited to, training/educating students in appropriate skills and concepts, maintaining attendance records, employing creative pedagogy that effectively teaches students with varying backgrounds and skill sets, providing feedback that is clear and actionable so the student can progress throughout the semester, and submitting grades. The ideal candidate is a curious and creative problem solver, organized, and highly communicative. Prerequisite Qualifications: -MFA in Scenic Design (or similar degree) or equivalent experience. -At least two years professional experience in two or more areas of theatrical design with a strong working knowledge in all areas of theatrical design. -At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position. Preferred Qualifications: -At least two years experience teaching and/or mentoring young designers. -Prior teaching experience at the collegiate level. Bargaining Unit: AFT-UCAN Salary Information: In compliance with the NJ Pay Transparency Law, the rate for this position is $2668 per contact hour (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items. FLSA: Exempt Part-Time Special Instructions to Applicants: Must have CV/Resume ( with both theater design and teaching experience included) and cover letter attached. Please emphasize your experience/understanding in multiple design fields. Apply NowShare Save Job

Discover What's Possible at BetMGM Ready to make your career legendary? Join us as we bring the magic of Vegas to our players. The BetMGM team has over 1,400 talented members, revolutionizing sports betting and online gaming in the United States and Canada. We're a brand with technology at our hearts and the most driven and focused talent in the business. As a valued team member, we're committed to giving you the resources and support you need to thrive. Our benefits and perks include: * Medical, Dental, Vision, Life, and Disability Insurance * 401(k) with company match * Pre-tax spending accounts including health care FSA and commuter savings * Flexible paid time off * Professional development reimbursement and ongoing skills training opportunities * Employee resource groups * Swag, ticket giveaways, and more! At BetMGM, we recognize that every individual plays a meaningful role in our success. That's why we're committed to building a respectful, inclusive workplace. It's the strategy behind every win. By meeting people where they are, we create a culture of belonging where everyone can thrive and a workplace that reflects our values, our people, and our drive to win. About the Role Under the direct supervision of the Manager of IT Audit, the IT Auditor will be responsible for providing high-quality internal audits that ensure procedural and regulatory standards are met. The IT Auditor will be required to follow the Internal Audit Policies and Procedures that are aligned with the Institute of Internal Auditors (IIA) International Standards for the Professional Practice of Internal Auditing. The IT Auditor will serve as a value-added resource in designing and executing assurance responsibilities to help the organization achieve its objectives. The candidate will collaborate with the Internal teams to achieve the goals of the annual Internal Audit Plan. The candidate will build relationships with teams across the organization and develop meaningful recommendations to improve and simplify business processes. The candidate will have a hands-on approach and be involved in all aspects of audit projects, from planning to execution. The candidate will play a key role in ensuring processes are relevant and consistently applied in accordance with corporate and industry standards. Responsibilities * Assist Internal Audit leadership with maintaining a compliant Internal Audit methodology, including all supporting materials (e.g., policies, procedures, workpaper standards, charters, etc.) and oversight/governance structure. * Perform internal audit IT engagements and assessments as determined in the approved annual Internal Audit Plan, including the evaluation of IT General Controls, Application Controls, Network Controls and IT security related Internal Controls and focusing on complex, judgmental and/or specialized issues. * Take responsibility for multiple engagement assignments by using time wisely, prioritizing tasks according to risk and feedback from supervisor / management and bringing assignments to completion within established timeframes with limited supervision. * Assist with audit risk assessments of Information Technology processes and systems, planning, and developing audit programs to ensure the business has adequate internal controls. Ensure the audit scope is accurately defined, and audit procedures achieve the completion of that scope. * Collect information, IT policies and procedures and perform detailed assessments of information technology systems and infrastructures to verify systems are secure and support the related applications or business processes and are in compliance with security standards and regulations. * Prepare clear, accurate, and well-organized audit work papers that appropriately document the testing performed. Work papers should include planning documents, engagement notifications, and source documentation, flowcharts, walkthroughs of processes, and testing of controls. * Assess audit results and develop meaningful recommendations for improvement which can be effectively implemented by management given the existing business, control risks, and other cost/benefit considerations. * Prepare audit reports that reflect audit results and recommend opportunities for improvement to processes. Partner with management to develop action plans and monitor and test remediation. * Continuously looks for opportunities to improve, by simplifying processes and developing better ways of working with different teams across the organization. * Complete audit assignments within established timeframes. * Perform any additional job responsibilities requested by the Manager of IT Audit. * Develop a thorough understanding of the Company's operations. * Serve as a subject matter expert of applicable IT and cybersecurity standards. * Maintain professional and technical knowledge by attending professional association workshops and training, reviewing professional publications, and maintaining/obtaining relevant certifications. * Travel to other locations for auditing and training purposes, as required (<5%). Qualifications * Bachelor's degree in MIS, Computer Science, or related field required. * CISA, CISSP, and/or CISM certification(s) or commitment to obtaining an appropriate professional certification. * 1-5 years of IT internal audit experience in professional services and/ or specific relevant IT internal audit industry experience required. * Subject matter expert in IT concepts such as logical and physical security (including cloud-based), network, database, computer operations, and software development is required. * Experience executing risk-based IT-related audits and/ or risk and control assessments, leveraging IT governance and control frameworks such as COBIT, NIST 800 series, and ISO 27000. * Knowledge of gaming industry is a plus. * Highly motivated and works with autonomy. * Accountable and takes responsibility for own outputs. * Strong business process knowledge combined with an ability to identify opportunities for process improvements. * Proficient with Microsoft Office (MS Excel, MS Outlook, MS PowerPoint, MS Word) is required. * Proven analytical skills. * Effective problem-solving skills. * Excellent project management skills with the ability to organize and manage multiple priorities. * Strong verbal and written communication skills, with ability to effectively communicate at all levels. * Ability to develop and maintain relationships, but also challenge the business, when necessary. The annual salary range for this position is $62,000 to $90,000. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate. This position is also eligible for participation in a performance-based bonus plan. Applicants must possess legal authorization to work for our company in the U.S. without the need for immigration sponsorship. At this time, this role is not eligible for immigration-related employment authorization sponsorship including H-1B, O-1, E-3, TN, OPT, etc. Gaming Compliance & Licensing Requirements As an online gaming company, BetMGM is required to comply with state gaming regulations which includes licensing obligations. Applicable employees must be licensed by at least one jurisdictional agency, although certain positions require licensing by multiple agencies. Failure to become licensed or maintain licensure with each agency as required for the role may result in termination of employment. Please note that the licensing process includes comprehensive background checks which may include a review of criminal records, financial history, and personal background verification. In addition, candidates must comply with and support BetMGM's responsible gambling policies, procedures, and initiatives. About BetMGM BetMGM is revolutionizing sports betting and online gaming in the United States and Canada. We are a partnership between two powerhouse organizations-MGM Resorts International and Entain Group. You know our name through our exciting portfolio of brands including BetMGM Casino, BetMGM Sportsbook, Borgata Online, Party Casino and Party Poker. We aim to bring our ideas into action and find ways to deliver the best quality in gaming platforms. BetMGM LLC is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified individuals, regardless of race, religion, gender, gender identity, age, marital status, national origin, sexual orientation, citizenship status, veteran status, disability, or any other legally protected status. As an organization, we are unwavering in our commitment to maintaining a discrimination-free work environment, and fostering a culture of inclusivity, belonging and equal opportunity for all employees and applicants. If you need assistance or accommodation with your application due to a disability, you may contact us at . This job description is not an exclusive or exhaustive list of duties a person in this position may be asked to perform from time to time. #LI-HYBRID #LI-IK1

Who We Are: At Ordergroove, our mission is to transform commerce by putting relationships, not transactions, at the center. We help leading brands create seamless subscription and membership experiences that turn one-time shoppers into lifelong customers. Founded in 2010, we are a remote-first company whose platform powers the world’s most loved recurring experiences for brands like L’Oréal, GNC, and PetSmart. Our team of curious builders and bold problem solvers is united by one belief: meaningful relationships drive lasting growth. Join us and help shape the future of relationship commerce. About the Role: We're seeking an exceptional Principal Product Manager to own and evolve a critical part of our Relationship Commerce platform, one that sits at the intersection of ecommerce infrastructure, subscription intelligence, and applied AI. This is a senior individual contributor role for a product leader who wants to go deep on the hardest problems, shaping strategy, shipping ambitious AI-powered experiences, and setting the bar for product craft across the company. This role is ideal for someone who loves to solve complex problems, leads through clarity and influence, and is energized by building products that scale across hundreds of brands while still feeling deeply customer-centric. As a Principal PM at Ordergroove, you'll set product vision and strategy for one of our most strategic surfaces, partner with senior leadership on the biggest bets, and ensure we're building durable, extensible, AI-native solutions that help brands move from transactional commerce to long-term customer relationships. You'll partner deeply with Engineering, Design, Data, GTM, and Customer teams to translate complex merchant needs into elegant platform solutions, balancing short-term wins with long-term growth and scale. This is a hands-on role for someone who can zoom out to define strategy and zoom in to sharpen execution and raise the bar for product quality and impact. What You Will Do: • Own & Scale the Merchant Growth Pillar – Take full ownership of the product area at the heart of Ordergroove's value, defining how merchants get started, see value, and grow. You'll lead high-stakes initiatives across onboarding, incentives, cancellations, and daily workflows, pairing strong execution with clear strategic direction beyond the current roadmap., • Ship AI as a Foundational Capability – Lead the application of AI across merchant and subscriber experiences, agents that automate complex workflows, intelligence that surfaces the right action at the right moment, and personalization that drives measurable retention and growth. Treat AI as core infrastructure, not a feature bolt-on., • Raise the Bar on Experience-First Product Design – Apply a strong UI/UX lens to merchant-facing workflows, working closely with Design and Engineering to deliver best-in-class self-service. You'll advocate for intuitive, opinionated product design that turns satisfied merchants into raving fans., • Operate as a High-Impact, High-Visibility Product Leader – Serve as a senior Product voice for Merchant Growth with regular C-suite exposure and influence. You'll earn trust across Product, Engineering, GTM, and Operations, and be a key voice in shaping strategy, prioritization, and how Product shows up across the company, leading through influence, not org chart., • Set Product Strategy & Direction – Define and communicate a clear, long-term product vision aligned to company goals and customer needs. Translate strategy into focused roadmaps that emphasize outcomes over output and provide clarity across teams., • Drive Cross-Functional Alignment – Partner deeply with Engineering, Design, Data, Operations, and Go-To-Market teams to align on priorities, trade-offs, and execution, ensuring solutions drive adoption, retention, and revenue., • Champion Customer-Led Decision Making – Ground product decisions in deep customer understanding, leveraging direct merchant engagement, research, and data to balance merchant needs with end-consumer impact., • Deliver with Accountability – Own execution from discovery through launch and iteration. Define success metrics, assess outcomes, and continuously refine based on learnings and market signals. About you: • Required, • 8+ years of product management experience with proven success in SaaS, ecommerce, or subscription businesses., • Track record of owning strategy and delivering measurable impact at scale on complex, technical product surfaces., • Hands-on experience shipping AI or ML-powered product experiences: agents, intelligent automation, personalization, or applied LLM features in production., • Strong customer empathy with experience leveraging qualitative and quantitative insights., • Excellent partnership, communication, and influencing skills across technical and non-technical stakeholders and teams. Proven ability to lead through influence without direct authority., • Experience owning product strategy across multiple product areas or workstreams., • Proven experience driving product decisions tied to business outcomes such as revenue growth, retention, expansion, or operational efficiency., • Comfort operating in ambiguous, fast-growing environments, bringing clarity, structure, and momentum where none exists., • Background in metrics, experimentation frameworks, and data-informed prioritization., • Experience with Agile product development practices., • Preferred, • Experience in ecommerce or subscription-based D2C brands., • Experience working closely with applied AI or ML engineering teams. If you don’t meet 100% of the qualifications outlined above - that’s okay, nobody’s perfect! We encourage you to apply if you think this is a role that would make you excited to come into work every day. About Ordergroove: Ordergroove powers recurring revenue for the world's largest and most innovative retailers including Ulta, Dollar Shave Club, La Colombe Coffee, Bonafide Health, BarkBox, and more. As a direct result, more than 11% of adult Americans have a subscription powered by Ordergroove. Our technology makes seamless, one-of-a-kind subscriber and membership experiences possible to turn one-time transactions into profitable recurring customer relationships. Ordergroove’s powerful platform empowers merchants with highly customizable options such as flexible promotions, bundling, and analytics to bolster their bottom line while making customers' lives easier. We recently achieved a milestone year with 152% year over year new business growth, and were rated best-in-class subscription technology by CB Insights and eCommerce Platform of the Year by RetailTech Breakthrough Awards. Our company values celebrate collaboration, different perspectives, and curiosity with the goal of getting to the right answer, no matter who came up with it. At Ordergroove we are committed to creating a welcoming and supportive environment for all people. We encourage people with different backgrounds and experiences to join our growing team so that we gain different perspectives and build the best team possible. We demand the best of ourselves and each other and never miss an opportunity to celebrate our successes. With a fully flexible work from anywhere culture, staying connected and supporting each other are always top of mind. We build our tight-knit community through small group events like trivia night, cooking classes, and book clubs. We encourage cross-functional relationships through virtual coffees and we stay close to the business through weekly team updates and quarterly all-hands meetings. At Ordergroove, we focus on flexibility and empowering our team to make the right decisions for themselves. We have flexible PTO and a totally remote (anywhere in the US) workforce, and an annual personal development budget that you use for what matters to you (wellness, career development, productivity at home, etc). And of course, that is on top of the basics like competitive compensation (including stock options) and incredible, affordable benefits. Come join our amazing team while we enable the fastest-growing segment of commerce that makes life easier for millions of consumers every day! At Ordergroove, we want to hire, develop and retain the best talent, making Ordergroove a top destination to grow your career. The pay transparency law is a way of narrowing the gender pay gap and fostering an engaged and positive working environment. It is also a way to share what we think is a reasonable, equitable and competitive compensation structure for the roles on our team. The total compensation range (base + annual bonus) for this role is starting at $200k OTE + equity.

Title: Adjunct Instructor in Physics Department: Physics Reports To: The Department Chair Position Type: Faculty Position Summary: The NJIT Department of Physics is recruiting a pool of applicants interested in teaching classes in the Physics program on an ongoing basis. The goal of the department is to educate the next generation of scientists, engineers, and scientifically informed citizenry through research intensive education in the physical sciences and related technologies. In these days of rapid changes in science and technology, we are also faced with the fact that progress requires interdisciplinary approaches: many advances in science and technology are not within one discipline but occur at the boundaries of many disciplines. To maintain our leadership in the forefront of scientific research in diverse fields such as solar-terrestrial and astrophysical research, photonics, imaging, and optical science, biophysics, material science, microelectronics etc., we continue our research efforts in the direction of applications of basic principles and the development of new devices. By its very nature the Physics Department at New Jersey Institute of Technology is an Applied Physics Program as opposed to a traditional theoretical physics program. Qualified applicants not able to take on a class in a particular semester would continue to be considered in future semesters. Adjunct instructors will be given the learning objectives and requirements for each class assigned. Essential Functions: • Teach the assigned course as required., • Integrate core concepts from past courses into the one being taught., • Communicate with students, faculty and administration on student progress throughout the semester. Prerequisite Qualifications: • MS in Physics or closely-related field., • Ph.D. in Physics or closely-related field. Prior teaching experience is particularly welcome., • At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position. Bargaining Unit: AFT-UCAN Salary Information: In compliance with the NJ Pay Transparency Law, the rate for this position is $2668 per contact hour (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items. FLSA: Exempt Part-Time Apply NowShare Save Job

Where Conviviality is at work. Pernod Ricard is a global premium spirits and wine company. We're the team behind leading brands such as ABSOLUT Vodka, Jameson Irish Whiskey, Malibu, Kahlua Liqueur, The Glenlivet Gin, and Skrewball whiskey, as well as many more superior wines and exquisite champagnes! Working at Pernod Ricard is all about igniting conviviality in all that we do. Derived from the French word, convivialite...it means human connection, authenticity, friendly, and jovial. Conviviality is energy and spirit with a splash of je ne sais quoi and is a core philosophy around how we live and work at Pernod Ricard. Guided by our 4 core values: (1) grounded in the real; (2) fiercely authentic; (3) passion for challenge; and (4) connected beyond borders; we are team players, dream makers, trailblazers, movers and (cocktail) shakers. We have a passion for living life to the fullest, making new friends every day, and realizing our potential as people and as a business! The salary range for this role, based in New York, is $145,728.00 to $182,160.00. The range may vary if the role outside of this location. Base salaries are determined during our interview process, by assessing a candidate'sexperience, skills against internal peers and against the scope and responsibilities of the position. Join our global agile Tech team to drive HR and Legal technology transformation through modern platforms, workflow tools, and AI-enabled solutions that support HR, Legal, and related risk and compliance functions. Role Overview As an HR & Legal Corporate Technology Proximity Specialist, you will optimize and deliver technology solutions across the full HR lifecycle, as well as Legal, Compliance, and Risk-related solutions. You will bridge business needs with technical delivery, manage cross-functional system implementations, and drive adoption of automation, analytics, and AI capabilities across HR and Legal business areas. Key Responsibilities: * Capture and analyze global and local business requirements for HR and Legal technology solutions; identify standardization, simplification, and automation opportunities using workflow tools and AI. * Lead incident and problem management between HR/Legal business stakeholders and support teams for their respective applications; drive root cause analysis, corrective actions, and continuous improvement. * Plan and execute rollout and change management for global HR and Legal products, including deployments, integrations, security/controls, and AI features (chatbots, automated workflows, investigation case management, contract lifecycle automation, and HR self-service). * Define, measure, and report value realization metrics, including adoption rates, process efficiency, employee experience improvements, risk/control enhancements, and stakeholder satisfaction across HR and Legal functions. * Partner with product and architecture teams on requirements, solution design, testing, configuration, and iterative delivery in an agile environment for HR, Legal, and risk/compliance solutions. * Collaborate closely with Corporate Compliance, Group Audit & Risk, and Global Investigations & Security to ensure that technology solutions support regulatory, audit, and investigation needs, including data integrity, traceability, and auditability. * Support Contract Management teams by enhancing contract lifecycle tools, electronic signature integrations, templates, and approval workflows to drive speed, consistency, and compliance. * Promote best practices, training, and change adoption for HR and Legal technology platforms, ensuring that global and local stakeholders understand processes, capabilities, roles, and governance models. Required Qualifications: Education:Bachelor's degree in HR, Law, Information Systems, Business Administration, or related field (Master's or PMI/SHRM/HRIT/Legal Operations certifications preferred). Experience: * 7+ years in business stakeholder management, cross-functional project management, and business systems/data integration with exposure to HR and/or Legal functions. * 5+ years in HR technology, HRIS, HR operations and/or Legal Operations / Legal technology with end-to-end system implementation experience. * 5+ years in IT product management or product ownership in agile environments (backlog management, feature prioritization, sprint planning, stakeholder alignment). * Experience configuring or supporting enterprise HR platforms (core HR, payroll, talent, time & attendance, learning, performance, and engagement) and/or Legal and compliance platforms (matter management, e-billing, contract management, compliance, or risk/audit tools). * Hands-on experience with AI, analytics, and automation tools (workflow automation, RPA, chatbots, advanced reporting) applied to HR, Legal, compliance, risk, or audit use cases. * FMCG/CPG or AlcBev industry knowledge preferred. Key Skills: * Expert stakeholder management, project planning, and requirements definition across HR, Legal, and risk/compliance teams. * Strong deployment, adoption, and change management capabilities for cross-functional platforms. * Data integration and lifecycle management for HR and Legal systems, with strong focus on security, privacy, and regulatory requirements. * Ability to evaluate business needs and translate them into scalable HR and Legal technology solutions that support compliance, risk management, and operational excellence. * Agile methodology and product testing expertise, including coordination of HR and Legal stakeholders for UAT and iterative enhancements. * Experience with analytics/automation platforms and BI tools to deliver actionable insights and reporting for HR, Legal, compliance, and risk functions. When you join Pernod Ricard, you'll experience a workplace that is rich in heritage, driven by our iconic brands and a long-standing commitment to sustainability, safety, and giving back to the people and communities where we work. We know that happiness at work starts with that feeling of belonging you get from an inclusive culture where being uniquely you is celebrated. Our values are lived, they drive our behaviors, and it's what brings our ___. Our work philosophy celebrates the magic of human connection with the flexibility needed to provide one's most meaningful contribution. We offer a flexible work policy, with most of our positions offering a a hybrid option with flexibility to work remotely 2 days a week. As a global employer, we understand that not everyone's working hours are the same, and we empower our employees to work the hours that make the most sense for them and their team's schedules. We offer employees great benefits and perks to toast to a life filled with support. Check out ___ for details. This recruitment process uses artificial intelligence (AI) tools to match applicant skills with role requirements and qualifications. Pernod Ricard USA is an Equal Opportunity Employer. It employs qualified individuals based solely on ability, training, and experience, and does not and will not, discriminate for or against any employee or applicant for employment or promotion based upon actual or perceived race, color, religion, sex, age, disability, national origin, citizenship, marital status, sexual orientation, gender identity, genetic information, military service or any other classification protected by law. Offers will be subject to United States local terms. Pernod Ricard USA is committed to the full inclusion of all qualified individuals. As part of this commitment, Pernod Ricard USA will ensure that persons with disabilities are provided reasonable accommodations for the hiring process. To request reasonable accommodation during the application process, contact us at ___. Job Posting End Date: Target Hire Date: 2026-03-04 Target End Date:

February 2026 Update GL-5/7 grade levels Border Patrol Agent (BPA) – in the Federal Security and Public Safety Sector (Entry Level) A MISSION WORTHY OF A CAREER! If you’re looking for “just a job,” then stop reading right now. But, if you’re looking for a long-term federal law enforcement career, one that makes a difference every day to our country and its citizens, then the U.S. Border Patrol (USBP) would like you to take the first step to becoming an entry level Border Patrol Agent. USBP is hiring immediately to fill full-time, entry-level, career positions in federal law enforcement where your prior experience in public safety, security, military police or law enforcement may qualify. Train and work with an elite team of professionals whose camaraderie, pride, and sense of purpose are hallmarks of their daily mission of protecting America. Now is the time to make your move because, along with excellent base pay, exceptional benefits, and job stability, USBP is offering up to $60,000 in additional incentives (see details below). Salary and Benefits Annual base salary for newly appointed BPAs varies per grade, as follows: GL-5/GL-7 $51,632 - $92,219 per year. Border Patrol Agents are eligible to select from an array of federal employment benefits that include health, dental and other insurance plans, a generous annual and sick leave program, and participation in the Thrift Savings Plan, a retirement plan akin to a traditional ROTH 401(k) offering. Newly appointed Border Patrol Agents (as defined in 5 CFR 575.102) will be eligible for up to $20,000 in incentives. The first $10,000 will be paid upon successful completion of the Border Patrol Academy, with the remaining $10,000 awarded for accepting a prioritized location such as Sierra Blanca, Presidio, Sanderson, Comstock, Freer or Hebbronville, TX; Lordsburg, NM; or Ajo, AZ. Newly appointed Border Patrol Agents may also qualify for up to $40,000 in additional incentives distributed over their first four years. Duty Locations IMPORTANT NOTICED: Duty assignments available at the time of offer may include the Southwest Border, including prioritized locations. U.S. Border Patrol determines duty assignments at the time of offer based on operational needs, which may or may not align with candidates’ first-choice preferences. RELOCATION MAY BE REQUIRED. Duty location impacts pay rates; locality pay for federal law enforcement is higher in some locations than others. A fully trained BPA may be eligible for up to an additional 25% of base pay per the BPA Pay Reform Act of 2014. This is a career ladder position with a grade level progression of GL-5, GL-7, GL-9, GS-11, and GS-12. You will be eligible for a promotion to the next higher grade level (without reapplying) once you successfully complete 52 weeks in each grade level. Duty Locations: You will be asked to select your preferred location for one of the following mission critical locations:> Big Bend Sector Stations - *Presidio, Van Horn, *Sanderson, Alpine, *Sierra Blanca, Marfa Buffalo Sector Stations - Wellesley Island Del Rio Sector Stations - Del Rio, Brackettville, *Comstock, Eagle Pass North, Eagle Pass South, Carrizo Springs, Uvalde El Paso Sector Stations - Alamogordo, Clint, Deming, El Paso, Fort Hancock, Las Cruces, *Lordsburg, Santa Teresa, Ysleta El Centro Sector Stations - El Centro, Indio, Calexico Grand Forks Sector Stations - Pembina Havre Sector Stations - Havre, Malta, Plentywood, Scobey, Sweetgrass Houlton Sector Stations - Calais, Fort Fairfield, Jackman, Rangeley, Van Buren Laredo Sector Stations - Laredo South, Cotulla, *Hebbronville, Laredo West, *Freer, Laredo North, Zapata Rio Grande Valley Sector Stations - Rio Grande City, Fort Brown, McAllen, Brownsville, Falfurrias, Weslaco, Kingsville, Harlingen San Diego Sector Stations - Boulevard, Brownfield, Campo, Chula Vista, Imperial Beach, Murrieta, San Clemente Spokane Sector Stations - Colville, Curlew, Metaline Falls, Oroville Swanton Sector Stations - Beecher Falls, Burke, Champlain, Newport, Richford Tucson Sector Stations - *Ajo, Tucson, Nogales, Douglas, Brian A Terry, Sonoita, Casa Grande, Three Points Substation, Willcox Yuma Sector Stations - Blythe, Yuma, Wellton Duties and Responsibilities As a BPA, you will be part of our 60,000+ workforce that strives to protect the American people by safeguarding our borders, deterring illicit activity, and enhancing the nation’s economic prosperity. Being a BPA makes you a valuable member of the Federal Law Enforcement Officer (LEO) profession. Typical assignments include: Detecting and questioning people suspected of violating immigration and custom laws and inspecting documents and possessions to determine citizenship or violations Preventing and apprehending undocumented noncitizens and smugglers of noncitizens at or near the borders by maintaining surveillance from covert positions to include using infrared scopes during night operations Interpreting and following tracks, marks, and other physical evidence of illegal entry of persons or contraband Performing farm checks, building checks, traffic checks, city patrols, and transportation checks Patrolling the international boundary and coastal waterways using a variety of government assets such as vehicles, horses, vessels, watercraft, off-road vehicles, ATVs, snowmobiles, and motorcycles for the accomplishment of the USBP Mission. Qualifications You qualify for the GL-5 grade level if you possess one of the following: Experience: One (1) year of general work experience that demonstrates the ability to take charge, make sound decisions, and maintain composure in stressful situations; to learn regulations, methods, and techniques through classroom training and/or on-the-job instruction; and the ability to gather concise information through questioning, observation, and examination of documents and records;OR Education Substitution: A bachelor's degree or successful completion of a full four-year course of study in any field leading to a bachelor's degree from an accredited college or university; OR Combination of Experience and Education: A combination of general work experience AND successfully completed college education. This will be calculated using your resume and official or unofficial transcripts submitted with your application. You qualify for the GL-7 grade level if you possess one of the following: Experience: One year of specialized work experience that shows you have the skills necessary to: Make sound judgments and decisions in the use of firearms. Deal effectively with people in a courteous and tactful manner in connection with law enforcement matters. Analyze information rapidly and make prompt decisions where you will be expected to make arrests after the completion of required training and apply these skills in a law enforcement capacity such as criminal code enforcement, determining violations of laws, correctional or rehabilitation work involving criminal offenders, security, military, etc. The above experience will be applied in connection with the following: Make arrests and exercise sound judgment in the use of firearms; deal effectively with people in a courteous manner in connection with law enforcement matters; analyze information rapidly and make prompt decisions; or develop and maintain contact with a network of informants. Education Substitution for the GL-7 grade level: A bachelor's degree with superior academic achievement, which is based on (1) class standing, (2) grade-point average (i.e., GPA of 3.0 or higher out of a possible 4.0), or (3) honor society membership. Or will receive a bachelor's degree with Superior Academic Achievement. Or one full year of graduate-level education in a field of study related to law enforcement (e.g., criminal justice, homeland security, justice studies, law enforcement, courts and judicial systems, forensic technology, forensic psychology, or corrections and rehabilitation) from an accredited college or university; OR A Combination of Experience and Education: This will be calculated using your resume and official or unofficial transcripts submitted with your application. Note: If you have previous or current law enforcement or military law enforcement experience, you may qualify at the GL-9 and or GS-11 grade level. Please refer to the BPA GL-9 - 11 announcement. Other Requirements Citizenship: You must be a U.S. Citizen to apply for this position. Residency: You must have had primary U.S. residency (includes protectorates as declared under international law) for at least three of the last five years. Age Restriction: In accordance with Public Law 100-238, this position is covered under law enforcement retirement provisions. Candidates must be referred for selection to the Border Patrol Agent position before reaching their 40th birthday in accordance with Department of Homeland Security Directive 251-03. The age restriction may not apply if you are currently serving or have previously served in a federal civilian law enforcement (non-military) position covered by Title 5 U.S.C. 8336(c) or Title 5 U.S.C. 8412(d). Veterans’ Preference: You may also be eligible for an excepted service Veterans Recruitment Appointment (VRA). The age restriction does not apply if you are Veterans' Preference eligible. Formal Training: After you are hired, you will be detailed to the U.S. Border Patrol Academy in Artesia, New Mexico, for approximately six (6) months of intensive instruction in immigration and nationality laws, law enforcement and USBP-specific operations, driver training, physical techniques, firearms, and other courses. Border Patrol work requires the ability to speak and read Spanish, as well as English. Border Patrol Agents will be provided training to become proficient with the Spanish language at the Academy. How to Apply: Click the Apply button on this site. You will be linked to the CBP Talent Network registration page. For Position of Interest, select Border Patrol Agent, then complete the pre-screening questions. You’ll then receive a link(s) to the BPA Job Opening Announcements (JOAs) on USAJOBS, the federal government’s official employment site, to complete your application. Be certain to review ALL details of the job opportunity announcement and follow all instructions in the application process, including items (resume, transcripts, etc.) to submit. You will be evaluated based on your resume, supporting documents, and the BPA Entrance Exam. If you have questions about the application process, contact a recruiter through the U.S. Border Patrol page: careers.cbp.gov/s/usbp. As a subscriber to the CBP Talent Network, you’ll receive monthly emails with information about webinars, career expos, and future opportunities with CBP.

Border Patrol Agent (BPA) – in the Federal Security and Public Safety Sector Experienced (GL-9 GS-11) SAME MISSION, NEW DRIVE! You love protecting your community and doing your part to keep our nation safe. But maybe you’re looking for a change of scenery? USBP is hiring immediately for full-time, career positions, where your prior law enforcement officer (LEO) experience may qualify you for higher-graded Border Patrol Agent (BPA) opportunities. Continue making a difference with the nation's premier federal agency charged with securing our borders and protecting our country. Whether you gained this experience as part of a military police unit or as a member of a state or local law enforcement organization, you have an opportunity to work with highly trained professionals whose camaraderie, pride, and purpose are hallmarks of their daily mission. Check out the duties and responsibilities section below, along with the qualifications section to see if you are eligible. Now is the time to make your move, along with excellent base pay, location pay, exceptional benefits, and job stability, USBP is offering up to $60,000 in additional incentives to newly appointed Agents (see details below). DON’T FORGET TO CHECK OUT THE INCENTIVES – SEE SALARY SECTION BELOW IMPORTANT NOTICE: Duty assignments available at the time of offer may include the Southwest Border, including prioritized locations. U.S. Border Patrol determines duty assignments at the time of offer based on operational needs, which may or may not align with candidates’ first-choice preferences. Relocation may be required. U.S. Customs and Border Protection (CBP) is hiring immediately for these full-time, career Law Enforcement Officer (LEO) opportunities. Salary and Benefits: Salary for newly appointed law enforcement Border Patrol Agents varies from: Base Salary: GL-9/GS-11, $63,148 - $120,145 per year Locality Pay: Varies by duty location. Overtime Pay: Up to 25% Duty location impacts pay rates; locality pay for federal law enforcement is higher in some locations than others. A fully trained BPA may be eligible for up to an additional 25% of base pay per the BPA Pay Reform Act of 2014. This is a career ladder position with a grade level progression from GL-9 to GS-11 to GS-12. You will be eligible for a promotion to the next higher grade level (without re-applying) once you successfully complete 52 weeks in the lower grade level. All Border Patrol Agents may select from an array of federal employment benefits that include health and insurance plans, a generous annual and sick leave program, and participation in the Thrift Savings Plan, a retirement plan that is similar to traditional and ROTH 401(k) offerings. Newly appointed Border Patrol Agents (as defined in 5 CFR 575.102) will be offered up to a $20,000 incentive. The first $10,000 will be paid upon successful completion of the Border Patrol Academy, with the remaining $10,000 awarded for accepting a prioritized location. Prioritized locations include Sierra Blanca, TX; Presidio, TX; Sanderson, TX; Comstock, TX; Lordsburg, NM; Freer, TX; Hebbronville, TX; Ajo, AZ. Newly appointed Border Patrol Agents may also qualify for up to $40,000 in additional incentives distributed over their first four years. Duty Locations: You will be asked to select your preferred location for one of the following mission critical locations: Big Bend Sector Stations - *Presidio, Van Horn, *Sanderson, Alpine, *Sierra Blanca, Marfa Buffalo Sector Stations - Wellesley Island Del Rio Sector Stations - Del Rio, Brackettville, *Comstock, Eagle Pass North, Eagle Pass South, Carrizo Springs, Uvalde El Paso Sector Stations - Alamogordo, Clint, Deming, El Paso, Fort Hancock, Las Cruces, *Lordsburg, Santa Teresa, Ysleta El Centro Sector Stations - El Centro, Indio, Calexico Grand Forks Sector Stations - Pembina Havre Sector Stations - Havre, Malta, Plentywood, Scobey, Sweetgrass Houlton Sector Stations - Calais, Fort Fairfield, Jackman, Rangeley, Van Buren Laredo Sector Stations - Laredo South, Cotulla, *Hebbronville, Laredo West, *Freer, Laredo North, Zapata Rio Grande Valley Sector Stations - Rio Grande City, Fort Brown, McAllen, Brownsville, Falfurrias, Weslaco, Kingsville, Harlingen San Diego Sector Stations - Boulevard, Brownfield, Campo, Chula Vista, Imperial Beach, Murrieta, San Clemente Spokane Sector Stations - Colville, Curlew, Metaline Falls, Oroville Swanton Sector Stations - Beecher Falls, Burke, Champlain, Newport, Richford Tucson Sector Stations - *Ajo, Tucson, Nogales, Douglas, Brian A Terry, Sonoita, Casa Grande, Three Points Substation, Willcox Yuma Sector Stations - Blythe, Yuma, Wellton Duties and Responsibilities: As a BPA, you will be part of our 60,000+ workforce that strives to protect the American people by safeguarding our borders, deterring illicit activity, and enhancing the nation’s economic prosperity. Being a BPA makes you a valuable member of the Federal Law Enforcement Officer (LEO) profession. Typical assignments include: Detecting and questioning people suspected of violating immigration and customs laws and inspecting documents and possessions to determine citizenship or violations. Preventing and apprehending aliens and smugglers of aliens at or near the borders by maintaining surveillance from covert positions to include using infrared scopes during night operations. Interpreting and following tracks, marks, and other physical evidence of illegal entry of persons or contraband. Performing farm checks, building checks, traffic checks, city patrols, and transportation checks. Patrolling the international boundary and coastal waterways using a variety of government assets such as vehicles, horses, vessels, watercraft, off-road vehicles, ATVs, snowmobiles, and motorcycles for the accomplishment of the USBP Mission. Qualifications: GL-9: You qualify for the GL-9 grade level if you possess one (1) year of specialized experience, equivalent to at least the next lower grade level, performing duties such as: Performing physical searches of detained individuals, their vehicles, and their immediate surroundings for weapons, contraband, currency, and other evidence. Apprehending, physically restraining, or working with law enforcement officials to identify or apprehend violators of state, federal, or immigration laws. Proficient in the use of firearms, preparing investigative reports, serving court orders (e.g., warrants, subpoenas, etc.), and gathering evidence for criminal cases prosecuted through the court system. If you have previous or current law enforcement or military law enforcement experience, you may qualify at the GS-11 grade level. GS-11: You qualify for the GS-11 grade level if you possess one year of specialized experience equivalent to at least the next lower grade level, with the authority granted by the state or government to enforce laws, make arrests, and investigate crimes, performing primary duties in an official law enforcement capacity such as: Utilizing intelligence information to track illegal operations, criminal activity, threats to our nation, and/or contraband while serving as a state, federal, or military law enforcement official. Leading investigations of fraud, contraband, criminal activity, threats to our nation, and/or illegal operations to determine sources and patterns while serving as a state, federal, or military law enforcement official. Apprehending violators of state, federal, or immigration laws by utilizing various forms of complex technology that include surveillance, detection, situation awareness systems, and/or communications equipment. The above experience will be applied in connection with the following: Make arrests and exercise sound judgment in the use of firearms; deal effectively with people in a courteous manner in connection with law enforcement matters; analyze information rapidly and make prompt decisions; or develop and maintain contact with a network of informants. There are no education substitutions for the GL-9 or GS-11 grade-level Border Patrol Agent opportunities. Other Requirements: Citizenship: You must be a U.S. Citizen to apply for this position. Residency: You must have had primary U.S. residency (including protectorates as declared under international law) for at least three of the last five years. Age Restriction: In accordance with Public Law 100-238, this position is covered under law enforcement retirement provisions. Candidates must be referred for selection to the Border Patrol Agent position before reaching their 40th birthday in accordance with Department of Homeland Security Directive 251-03. The age restriction may not apply if you are currently serving or have previously served in a federal civilian law enforcement (non-military) position covered by Title 5 U.S.C. 8336(c) or Title 5 U.S.C. 8412(d). Veterans’ Preference: You may also be eligible for an excepted service Veterans’ Recruitment Appointment (VRA). The age restriction does not apply if you are Veterans' Preference eligible. Formal Training: After you are hired, you will be detailed to the U.S. Border Patrol Academy in Artesia, New Mexico, for approximately six (6) months of intensive instruction in immigration and nationality laws, law enforcement, and USBP-specific operations, driver training, physical techniques, firearms, and other courses. Border Patrol work requires the ability to speak and read Spanish, as well as English. Border Patrol Agents will be provided training to become proficient in the Spanish language at the Academy. How to Apply: Click the Apply button on this site. You will be linked to the CBP Talent Network registration page. For Position of Interest, select Border Patrol Agent, and then complete the pre-screening questions. You’ll then receive a link(s) to the BPA Job Opening Announcements (JOAs) on USAJOBS, the federal government’s official employment site, to complete your application. Be certain to review ALL details of the job opportunity announcement and follow all instructions in the application process, including items (resume, transcripts, etc.) to submit. You will be evaluated based on your resume, supporting documents, and the BPA Entrance Exam. If you have questions about the application process, contact a recruiter through the U.S. Border Patrol page: careers.cbp.gov/s/usbp. NOTE: As a subscriber to the CBP Talent Network, you’ll receive monthly emails with information about webinars, career expos, and future opportunities with CBP.

About the Role At Wonder, we make world-class food accessible to everyone. As a Team Member, you’ll help bring menus from Michelin-starred and celebrity chefs to life while creating an inviting, positive experience for every guest. Whether you’re looking to grow your career, learn new skills, or join a fast-paced, fun team; this is your place. The Restaurant is located in the Walmart. Role Details • Pay Rate: $17.50, • Overnight shifts include an additional $2.00/hour premium, automatically applied to any hours worked between 12:00 AM and 5:00 AM, • Job Location: Teterboro, • Certified Team Member: +$0.50/hr (if eligible), • Trainer: +$1.50/hr Why You'll Love Working Here • Free meal during shift, • Employee Discount, • 1.5x Pay on Company Holidays, • Medical, Dental, and Vision Insurance, • 100% Employer-Paid Life Insurance, • 401(k) Retirement Plan, • Employer Health Savings Account (HSA) Match, • Employee Stock, • Real opportunities to grow into Trainer and Supervisor roles What You'll Do Every day is different. Master multiple roles, grow your skill set, and make a real impact. Create Amazing Food • Prepare menu items to Wonder standards while keeping stations clean, stocked, and organized, • Follow HACCP and all food-safety guidelines, including proper temperatures and storage, • Manage inventory scans, pack accurate portions, and ensure every order is correct before it goes out Deliver Incredible Hospitality • Greet guests warmly and assist with orders, pickups, payments, and the Wonder app, • Share knowledge about our concepts, support meal-kit and delivery operations, and ensure dispatch accuracy, • Participate in light local marketing activities (flyers, street engagement, etc.) Keep Our Restaurants Looking Their Best • Maintain top-tier sanitation and cleanliness across kitchen and dining areas, • Wash, clean, and restock cookware, utensils, and equipment throughout the shift, • Manage trash/recycling properly and report equipment issues promptly Be a Key Part of the Team • Support teammates, jump in where needed, and maintain a positive, high-energy environment, • Perform additional duties as assigned, • Work in a positive, energetic environment where teammates support each other and leaders invest in your development Qualifications • 6+ months of experience in a fast-paced kitchen or customer-facing role, • Ability to work with speed, accuracy, and strong attention to detail, • Solid organization, clear verbal communication, and ability to follow directions, • Team-oriented with basic knowledge of food safety and sanitation practices Requirements • Must be 18 years old and legally authorized to work in the US, • Must be able to lift 50 pounds, • Must be able to stand for a full shift while working About Wonder Everything’s on the menu at Wonder. Except compromise. Wonder is the mealtime platform built to feed every craving in one order. With Wonder, you can mix and match hundreds of dishes from 20+ exclusive restaurants in a single order, so everyone gets exactly what they’re craving. Enjoy everything from tacos to Thai with $0 delivery fees, plus dine-in or pick up at a Wonder location near you. Each dish is made to order on-site by our culinary team and served hot. Behind the scenes, Wonder owns and operates every step of the dining experience, from recipe development to the technology that powers our experience, allowing us to deliver quality, variety, and consistency at scale. Join us as we work to make great food more accessible. Wonder uses an AEDT in its hiring process. Click ___ for more information. At Wonder, we build the best teams by hiring with an objective lens — evaluating people for their potential while championing diversity, equity, and inclusion. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, military service eligibility, veteran status, marital status, disability, or any other protected class. As part of our commitment to fair and compliant hiring practices, Wonder participates in the federal government's E-Verify program to confirm employment eligibility.

Position Title: Assistant Business Transformation Analyst-Information Systems Location: Hybrid Poughkeepsie Office - Poughkeepsie, NY 12601 Salary Range: $65,000.00 - $70,000.00 Salary Description: Apply Why Join Marshall+Sterling? As a 100% employee-owned company with roots dating back to 1864, Marshall+Sterling offers the strength of a time-tested organization and the energy of an ownership-driven culture. Guided by our mission to empower clients to predict, prepare for, and preempt risk, we are relentlessly focused on helping people and businesses protect what matters most so they can move forward with confidence. Our vision of creating a future thats safer and more secure drives everything we do. Innovation is not optional here it's imperative. We constantly seek better, smarter ways to serve our clients and improve as a company. Collaboration is at our core, because we know we are stronger together across teams, with our clients, and in the communities we serve. Our employee-owners are not only valued and empowered, but also directly invested in our collective success. At Marshall+Sterling, youre not just joining a company youre joining an inclusive culture built on integrity, impact, and people-first values. Your ideas matter, your growth is prioritized, and your work helps shape a more secure future for all. This role will be based out of Marshall+Sterlings Poughkeepsie Office Join our team as an Assistant Business Transformation Analyst and help drive innovation across the organization. In this role, youll support process improvement, technology modernization, AI and automation initiatives, and digital transformation projects that enhance operational efficiency and employee experience. This is a great opportunity for someone who enjoys problem-solving, emerging technology, cross-functional collaboration, and finding smarter ways to work. • Support digital transformation initiatives that improve workflows, enhance efficiency, and modernize operations across the organization, • Collaborate with teams across the company to identify process challenges and recommend technology-driven solutions, • Assist with system integrations, application enhancements, testing, and rollout coordination across key business platforms, • Help evaluate and implement AI, automation, analytics, and emerging technologies to streamline day-to-day operations, • Research industry trends, Insurtech innovations, and best practices to support continuous improvement initiatives, • Partner with leadership and internal teams to support training, communication, and adoption of new systems and processes, • Track operational impact, user adoption, and process improvements to help drive smarter business decisions, • Bachelors degree in Business, Information Systems, Data Analytics, or a related field; equivalent experience considered, • 1+ years of experience in business operations, analytics, process improvement, or digital transformation, • Experience working within an insurance agency, brokerage, or insurance-related environment., • Experience with business systems such as AMS360, Salesforce, Applied Epic, ImageRight, Power BI, Tableau, SQL, or similar platforms, • Strong analytical, organizational, and communication skills with the ability to work across teams, • Interest in AI, automation, analytics, and emerging technologies, including tools such as ChatGPT, Microsoft Copilot, and related platforms Compensation: $65,000 - $70,00, based experience. Benefits: Comprehensive package including Medical, Dental, Vision, 401(k) with match, Generous Paid Time Off (PTO), thirteen paid holidays, company-paid life insurance for you and your dependents, employee assistance fund and programs, wellness perks, and more! Employee Stock Ownership Program As a 100% employee-owned company, Marshall+Sterling offers you the unique opportunity to build long-term wealth while growing your career. Heres what makes our ESOP so valuable: • Long-Term Rewards: The value of your ESOP account grows over time, rewarding your commitment and contributions to the companys success., • Collaborative & Engaged Culture: Employee ownership fosters a team-oriented environment where everyone has a stake in the companys growth and success. #PGM26 Compensation details: 65000-70000 PI5df2a05b72b2-26289-40494855

Job Description About Ceribell Ceribell is a medical technology company focused on transforming the diagnosis and management of patients with serious neurological conditions. The Ceribell System is a novel, point-of-care electroencephalography ("EEG") platform specifically designed to address the unmet needs of patients in the acute care setting, and is being used in hundreds of community hospitals, large academic facilities and major IDN's across the country. Our entire team is driven by a shared commitment to transforming the landscape of critical care through our rapid seizure detection technology, come join the movement! Position Summary: The Ceribell Territory Manager is responsible for partnering with key stakeholders across multiple departments (Emergency Department, ICU, Neurology, Hospital Administration) to educate on the prevalence and importance of non-convulsive seizures, build support, and drive the acquisition process. In your role as Territory Manager, you will be responsible for Ceribell's success in selling our technology and achieving revenue growth within your assigned territory. Providing superior customer relationship management while meeting or exceeding sales targets is your primary responsibility. What You'll Do • Revenue Generation: Close business to meet and exceed monthly, quarterly, and annual sales goals, playing a key role in helping Ceribell achieve its growth objectives., • Value Proposition Communication: Clearly communicate Ceribell's value proposition to unlock new partnership opportunities and develop long-term relationships with key decision-makers within your territory., • Pipeline Management: Collaborate with Leadership and Account Managers to develop and grow a strong pipeline of new business and launch partnerships that deliver continued business growth., • Clinical Champion Development: Build and coach clinical champions within hospital departments, demonstrating success in advancing sales opportunities., • Hospital Department Engagement: Call on multiple departments within hospitals, leveraging experience with various specialties to drive sales., • C-Suite Sales and Contract Negotiation: Successfully sell into the C-Suite and negotiate contracts with key decision-makers in hospitals., • Effective Discovery: Conduct effective discovery sessions with clinical and executive targets within health systems to understand their needs and tailor solutions accordingly., • Cold Calling Expertise: Utilize cold calling skills to engage potential clients in the hospital setting, not limited to clinics or physician offices., • Coachability: Demonstrate the ability to receive and implement feedback, showing examples of prior roles where coaching was successfully integrated., • Experience: Minimum of 5+ years of medical device sales experience, preferably with a background in selling disruptive technologies into hospitals., • Specialty Knowledge: Prior experience in Critical Care, Emergency Department, Cath Lab, Neuro, or Point of Care environments preferred., • Complex Sales Management: Proven ability to manage a complex, hospital-based sales cycle effectively., • Track Record: Demonstrated success with Return on Investment (ROI), Presidents Club (P-Club), and high sales rankings at current and former employers., • Hunter Mentality: Demonstrates a hunter mentality with the ability to drive change through multiple stakeholders., • Self-Starter: Ability to initiate and manage tasks independently while maintaining focus on sales targets., • Relationship Builder: Strong ability to build and maintain relationships across various hospital departments and specialties., • Negotiation Skills: Proven success in negotiating complex contracts with senior hospital executives. In addition to your base compensation, Ceribell offers eligible employees the following: • Performance-based incentive compensation (varies by role), • Equity opportunities, • 100% Employer paid Health Benefits for Employees, • 50% - 70% Employer paid Health, Dental & Vision for dependents (depending on plan selection), • 100% paid Life and Long-Term Disability Insurance, • 401(k) with a generous company match, • Employee Stock Purchase Plan (ESPP) with a discount, • Monthly cell phone stipend, • Flexible paid time off, • 13 Paid Holidays + 3 Company Wellness Days, • Excellent parental leave policy, • Fantastic culture with tremendous career advancement opportunities Equal Opportunity Employer Ceribell is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth and related medical conditions), sexual orientation, gender identity or expression, national origin, age, marital status, disability, veteran status or any other characteristic protected by law. Any applicant with a disability who requires an accommodation during the application process should contact to request reasonable accommodation. Privacy Statement For information on how Ceribell processes personal data of job applicants, please review our Privacy Policy. Compliance Disclaimer If you believe this job posting is non-compliant, please submit a report to . Please note that we will not respond to inquiries unrelated to job posting compliance.

Job Description Most of what makes American healthcare expensive isn’t medical care. It’s the machinery wrapped around it: middlemen taking a cut, fraud nobody stops, and billing systems designed to fight over payment instead of deliver care. The result is higher premiums, denied claims, surprise bills, and a system patients increasingly experience as adversarial. Arlo is rebuilding health insurance for small businesses from first principles: making sure as much of every premium dollar as possible goes to care instead of getting absorbed by the system around it. We do that by identifying fraud earlier, steering members toward higher-quality and lower-cost care, automating operational overhead, and eliminating vendors whose business exists mostly to take a cut. AI is the foundation that makes this work. We use it across underwriting, operations, clinical programs, and member experience to build an insurer that becomes more efficient as the technology improves. We’re already operating at meaningful scale: profitable, hundreds of millions in premiums, tens of thousands of members covered, and growing quickly through brokers, employers, and partners. Backed by Upfront Ventures, 8VC, and General Catalyst, with a team from Palantir, YC companies, and longtime healthcare operators. About the Role We’re looking for Staff Software Engineers to help build the systems that power an AI-native insurance company. Insurance operations are sprawling: underwriting, claims, premium finance, broker operations, member support, care navigation, and more. Most companies run these functions through fragmented vendors, legacy software, and manual workflows. At Arlo, we build our own infrastructure. You’ll work closely with operational teams and AI Forward Deployed Engineers to turn real business workflows into AI-native products and internal platforms. The goal isn’t to bolt AI onto existing software; it’s to redesign how the work happens altogether. We care about engineers who want to own real operational problems end-to-end: product architecture, backend systems, frontend experiences, AI workflows, and production deployment. What You Will Do * Design and ship full-stack products across the insurance lifecycle, working across React, React Native, TypeScript, Python, Postgres, and modern AI infrastructure. * Build AI-native underwriting systems that synthesize risk, structure messy data, and assist decision-making. * Create claims tooling that automates review, coordination, and document processing workflows. * Develop internal operational platforms for teams managing millions in premiums and healthcare spend. * Build member-facing products that combine conversational AI, navigation, and real-time healthcare workflows. * Design retrieval, memory, and evaluation systems that improve reliability and operational performance over time * Work directly with operational teams to identify bottlenecks and rapidly ship systems that eliminate manual work. * Own projects end-to-end: product architecture, backend systems, frontend experiences, AI integration, and production deployment. The work is highly applied. Success is measured by whether the systems you build become core infrastructure for how the company operates, reducing operational overhead, improving member experience, and allowing teams to scale far beyond traditional insurance companies. What We’re Looking For We’re looking for highly autonomous, product-minded engineers who can take ownership of an operational domain and turn messy real-world workflows into scalable software systems. Staff Engineers at Arlo work directly with teams across underwriting, claims, premium finance, member experience, and broker operations to deeply understand how the business works and where AI can create leverage. The role is highly hands-on: designing systems, shipping products, integrating AI workflows, and rapidly iterating with the people using what you build. You Have: * Strong experience building and shipping full-stack products across modern infrastructure (Python, Postgres, TypeScript, React/React Native) * Excellent product and engineering judgment in ambiguous environments * The ability to independently own large systems from idea to production * High standards for execution, velocity, and code quality The expectation for Staff Engineers is ownership and operational impact: building systems that materially improve how a function inside the company operates. Nice to Haves * Experience in regulated industries (healthcare, fintech, etc.) * Strong sense of design and attention to UI detail Target Compensation $230,000 – $250,000 + equity Why Join Arlo: * High ownership: You’ll get real responsibility from day one—our high-trust team empowers you to run with big problems and shape core parts of the company. * Join an important mission: Your work directly influences how people access care and improves lives at scale. * Growth & expansion: We’re moving fast, and as we grow, your scope will grow with us—new challenges, bigger opportunities, and rapid career velocity. * Apply AI to a problem that matters: Instead of optimizing ads or cutting labor costs, you’ll use AI to fundamentally reimagine how people get healthcare. * High pace, high collaboration: We operate with velocity, first-principles thinking, and a team that works closely, openly, and with ambition. Exact compensation inclusive of salary and any bonuses is determined based on a number of factors including experience and skill level, location, and qualifications which are assessed during the interview process. Arlo is an equal opportunity employer. We do not discriminate based on age, race, color, creed or religion, national origin, sexual orientation, gender identity or expression, military status, sex, disability, predisposing genetic characteristics, marital status, familial status, status as a victim of domestic violence, or arrest or conviction record, as defined under New York State law.

Job DescriptioneDiscovery Litigation TechnologistEmployment Type: Full-Time, Executive-LevelDepartment: Legal CGS is seeking a dedicated eDiscovery Litigation Technologist to join a fast-paced and hard-working team to assist with any legal accounts. As an eDiscovery Litigation Technologist, you will play a key role in supporting various aspects of the company's portfolio. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success:The Contractor shall provide litigation technology support to include, but not limited to the following activities: - Contractor shall monitor changes to laws that impact civil and criminal litigation to determine their impact on current FBI Discovery policies and procedures; - Contractor shall monitor the commercial industry to determine how new technology or best practices can be applied to improve FBI Discovery; - Contractor shall verify that any proposed solution to an existing requirement satisfactorily meets the underlying need; - Contractor shall conduct testing of system upgrades or patches prior to release; - Contractor shall verify that any proposed solution successfully delivers a new functional business capability that addresses one or more existing requirements; - Contractor shall provide advice on identifying, preserving, collecting, processing, and producing ESI in support of civil litigation, selected criminal matters, select FOIA requests, Congressional requests and other external inquiries using the current suite of FBI tools and processes; - Contractor shall monitor daily separation reports to identify departing legal hold custodians and ensure proper preservation of material subject to legal hold requirements; - Contractor shall update and/or create standard operating procedures of the ETA role; - The Contractor shall provide a strong technical background on the use of electronic discovery applications and provide a strong legal background and expertise on the electronic discovery applications Qualifications:- 5 (five) years of eDiscovery/litigation support experience with a focus on client solutions.- 3 (three) years of progressive more responsible experience on major lit support projects.- 2 years in Relativity, beyond document review coding.- Excellent communication, presentation, and interpersonal skills with both eDiscovery technical teams and non-technical business leaders and team players.- Ability to work in a fast-paced environment and agile work environment.- Experience and familiarity with eDiscovery Services covering all realms of the EDRM (File to Trial).- Must be a U.S. Citizen.- The ability to obtain a U.S. Government security clearance (active clearance preferred).- BS/BA degree or equivalent work experience (JD highly preferred). Our Commitment:Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work.Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package.- Health, Dental, and Vision- Life Insurance- 401k- Flexible Spending Account (Health, Dependent Care, and Commuter)- Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation!Explore additional job opportunities with CGS on our Job Board: more information about CGS please visit: or contact:Phone: +1 (888) 680-5916Email: #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionWho We AreQvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards. Who We're SeekingQvest.US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this role, you will oversee projects that drive better data-based decision making for our clients, involving strategy and planning, data management, reporting, and data visualization. We are looking for a hands-on technical data lead who can successfully manage projects, teams, and stakeholders.What You'll Do • Manage the project and stakeholders through all core project phases, including project setup, requirements gathering, design, development, testing, and deployment, • Lead the team through hands-on development by coding in SQL and occasionally Python, creating data visualizations in Tableau, Power BI, or similar, and designing data models in platforms such as Snowflake and Databricks, • Ensure client satisfaction through consistent support, impactful thought leadership and high-quality project execution, • Understand, develop and articulate complex business challenges into actionable plans with clear and concise communication, • Facilitate workshops, provide status updates, and lead meetings across the executive levels of client organizations, • Proactively identify risks, issues and provide mitigation strategies, • Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancementWhat You'll Bring, • Eagerness to help build and lead a best-in-class data practice, • 5+ years Project Management, Process, Implementation, System Integration, and SDLC experience working closely with data professionals in an Agile environment, • Experience with project planning, including tasks, budgeting, resource allocation and balancing, • 7+ years in a consulting or a data-focused role and expert-level experience with SQL in particular in platforms such as Snowflake, Databricks, Teradata, Redshift, BigQuery, MS SQL Server or similar, • Experience designing and building relational database and/or data warehouses, • Hands-on experience with business driven / self-service BI, using tools similar to Tableau, Power BI, Looker, etc Preferred Additional Experience, • A solid understanding of key BI trends and the BI vendor landscape, • Experience in Media & Entertainment and/or Consumer Products industries, • Experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PWC), • Cloud computing experience, whether with AWS or other vendors, • Ability to understand/design small-to-medium size data architectures, • Ability to automate data-related tasks using scripts and programming languages, • Ability to profile, explore, and analyze data to identify common data patterns, • Bachelor’s degree in engineering, information systems, computer science, business administration, or other related analytical fields

Job DescriptionWho We AreQvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards. Who We're SeekingQvest US is seeking an experienced Senior Consultant in Rights Management to join our growing IP & Rights Management Consulting practice. In this role, you will help lead projects that optimize our clients' Rights Management systems, and help lead other technology and business consulting projects. We are looking for an organized and ambitious team member who will excel in a fast-paced environment, and who is passionate about content IP & Rights Management.What you'll do • Help guide project teams through all core project phases, including project setup, requirements gathering, design, development, testing and deployment, • Conduct initial reviews of deliverables and give feedback, • Proactively identify risks and issues, and provide mitigation strategies, • Lead various client meetings such as stakeholder interviews and client workshops, • Build and maintain strong client relationships, • Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancementWhat you'll bring, • 3-5+ years System Implementation, SDLC, Integration, and Project Management experience, • 3+ years in consulting / professional services, big firm experience preferred, or Project Management experience at a non-consulting organization, • Subject matter expertise in content IP/Rights, especially in the Media & Entertainment space, • Familiarity with an SDLC methodology that covers requirements analysis, development, and delivery, • Experience with presentation and spreadsheet tools, such as PowerPoint, Excel, and Visio, • Bachelor’s degree in engineering, information systems, computer science, business administration, or other related fields, • Some experience in the following Rights Management areas:, • Rights management system implementation (e.g., Rightsline, RSG, Mediamorph, FilmTrack, Vistex), • Rights management in content acquisition / production management, publishing / distribution, and licensing, • Rights management experience with participations and/or residualsPreferred Experience, • 1+ year of experience in Media & Entertainment/Broadcast and/or Consumer Products industries, • Experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PwC)Travel RequirementsEmployees are responsible for traveling to and from client sites as required by their project or assignment, regardless of location. Travel may include sites outside the employee’s primary office location, state, or region. Remote & Hybrid WorkWhile remote or hybrid work may be permitted for certain projects, client needs take precedence. Employees are expected to report onsite at the client location when required by the project scope, client request, or management directive. Life at QvestWe were founded on a culture of collaboration and inclusiveness, and this permeates each of our initiatives, both client-facing and internal. We offer a wide selection of benefits including medical, dental & vision, 401k matching and flexible vacation; we sponsor training to advance our teams’ skill sets and we prioritize our employees’ professional growth paths. Qvest US is currently 300+ people strong and we’ve been recognized as a “Best Place to Work,” a “Great Place to Work,” “Fastest Growing,” and “A Jewel." Equal Employment OpportunityQvest is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Qvest applies this stance to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including internships, at all levels of employment.

Job DescriptionWho We AreQvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards. Who We’re SeekingQvest US is seeking an experienced Senior Consultant in Applied AI & Change Management to join our growing Applied AI practice. In this role, you will help lead several technology and business consulting projects ranging from the implementation of Applied AI technology solutions, to the formulation of organizational and process strategy, to PMO establishment. We are looking for an organized and ambitious team member who will excel in a fast-paced environment.What You'll Do • Help guide project teams through all core project phases of Applied AI implementation, including project setup, requirements gathering, design, development, testing and deployment., • Conduct initial reviews of deliverables and give feedback., • Proactively identify risks and issues, and provide mitigation strategies., • Lead various client meetings such as stakeholder interviews and client workshops., • Build and maintain strong client relationships., • Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancement.What You'll Bring, • 3-5+ years Systems Integration, Implementation, SDLC, Project Management experience, • Experience implementing AI/ML/Applied AI systems, • 3+ years in consulting / professional services, big firm experience preferred, • 1+ years of experience with organizational change management (OCM), including creating strategies to shepherd an organization and stakeholders through a large-scale change, • Consistent exposure to end-to-end SDLC (requirements analysis, design, development management, testing and delivery), • Trained on process and/or technology methodologies (e.g. Lean Process Improvement, Six Sigma, Agile implementation, Waterfall model), • Experience working with a project team on at least 2 package or custom solution implementation projects, • Experience with presentation and spreadsheet tools such as PowerPoint, Visio, and Excel, • Bachelor's degree in engineering, information systems, computer science, business administration, or other related fieldsPreferred Experience, • Experience in Media & Entertainment and/or Consumer Products industries, • Experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PWC)Travel RequirementsEmployees are responsible for traveling to and from client sites as required by their project or assignment, regardless of location. Travel may include sites outside the employee’s primary office location, state, or region. Remote & Hybrid WorkWhile remote or hybrid work may be permitted for certain projects, client needs take precedence. Employees are expected to report onsite at the client location when required by the project scope, client request, or management directive. Life at QvestWe were founded on a culture of collaboration and inclusiveness, and this permeates each of our initiatives, both client-facing and internal. We offer a wide selection of benefits including medical, dental & vision, 401k matching and flexible vacation; we sponsor training to advance our teams’ skill sets and we prioritize our employees’ professional growth paths. Qvest US is currently 300+ people strong and we’ve been recognized as a “Best Place to Work,” a “Great Place to Work,” “Fastest Growing,” and “A Jewel." Equal Employment OpportunityQvest is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Qvest applies this stance to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including internships, at all levels of employment.

Job Description At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology. The Role You'll Play: • At Playlist, we're reimagining how technology can foster meaningful, real-world connections. As a Senior Software Engineer on the SmartDesk team, you'll be at the forefront of building an AI-powered front desk assistant that transforms how wellness businesses communicate and operate., • Crafting end-to-end AI-powered experiences that seamlessly connect wellness businesses with their clients, • Designing and implementing robust web and messaging services that power conversational and workflow automation, • Integrating large language models (LLMs) and generative AI frameworks with a laser focus on safety, reliability, and user trust, • Collaborating closely with product, design, and applied AI teams to transform complex challenges into intuitive solutions, • Architecting scalable systems across frontend, backend, and integration layers, • Mentoring teammates through thoughtful code reviews and technical guidance, • Turning cutting-edge AI capabilities into practical, user-centric product features, • Driving technical excellence by making pragmatic engineering decisions that balance innovation, quality, and time to marketYou'll drive innovation by:, • Crafting end-to-end AI-powered experiences that seamlessly connect wellness businesses with their clients, • Designing and implementing robust web and messaging services that power conversational and workflow automation, • Integrating large language models (LLMs) and generative AI frameworks with a laser focus on safety, reliability, and user trust, • Collaborating closely with product, design, and applied AI teams to transform complex challenges into intuitive solutions, • Architecting scalable systems across frontend, backend, and integration layers, • Mentoring teammates through thoughtful code reviews and technical guidance, • Turning cutting-edge AI capabilities into practical, user-centric product features, • Driving technical excellence by making pragmatic engineering decisions that balance innovation, quality, and time to market The Experience You'll Bring:, • 2-3 years of Senior-level experience building full-stack features for SaaS products, • Proven track record of developing user-facing web applications and supporting APIs, • Expertise in designing and shipping AI-powered features in production environments, • Strong experience with distributed systems, third-party integrations, and messaging platforms, • Proficiency in making architectural decisions that balance technical debt, innovation, and business needs, • Deep understanding of engineering fundamentals, including testing, observability, and maintainability, • Exceptional communication skills with the ability to collaborate across multidisciplinary teams, • Comfort navigating ambiguity and rapidly learning emerging technologiesTechnologies You'll Use:, • LLMs and Generative AI Frameworks, • AWS (ECS, SQS, RDS), • Python, • TypeScript / JavaScript The base salary range for this position in the United States is $114,000 to $152,000 USD. The total compensation package for this position may also include a performance bonus, benefits and/or other applicable incentive compensation plans. Have we piqued your curiosity? Sound like the role for you? We'd love to hear from you! Even if you're not 100% sure about potential fit, we still encourage you to apply. We're looking for the right person, not the perfect series of checkboxes. The Company is an Equal Opportunity Employer. We highly value diversity at our company and encourage people of all different backgrounds, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics. By entering your email and phone number and submitting your application, you consent to receive emails, calls and SMS about your application and other roles at The Company, including by auto-dialer. Message and data rates may apply. Opt-out or text STOP to cancel at any time. If you are a California resident or reside outside the United States then by submitting your application you confirm that you have read, understood, agree and - where applicable - grant your prior, free, informed and express consent for the processing of your personal information, including sensitive personal information, as described in our California Applicant Privacy Notice or International Applicant Privacy Notice (as applicable). Note: This description outlines key responsibilities but isn't intended to cover every task or duty. Additional responsibilities may be assigned as needed to support the team and business goals.

Job Description Maven is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Maven's award-winning digital programs provide clinical, emotional, and financial support all in one platform, spanning fertility & family building, maternity & newborn care, parenting & pediatrics, and menopause & midlife. More than 2,000 employers and health plans trust Maven's end-to-end platform to improve clinical outcomes, reduce healthcare costs, and provide equity in benefits programs. Recognized for innovation and industry leadership, Maven has been named to the Time 100 Most Influential Companies, CNBC Disruptor 50, Fast Company Most Innovative Companies, and FORTUNE Best Places to Work. Founded in 2014 by CEO Kate Ryder, Maven has raised more than $425 million in funding from top healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. To learn more about Maven, visit us at mavenclinic.com. An award-winning culture working towards an important mission – Maven Clinic is a recipient of over 30 workplace and innovation awards, including: • Fortune Change the World (2024), • CNBC Disruptor 50 List (2022, 2023, 2024), • Fortune Best Workplaces for Millennials (2024), • Fortune Best Workplaces in Health Care (2024), • TIME 100 Most Influential Companies (2023), • Fast Company Most Innovative Companies (2020, 2023), • Built In Best Places to Work (2023), • Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024), • Great Place to Work certified (2020, 2021, 2022, 2023, 2024), • Fast Company Best Workplaces for Innovators (2022), • Design, build, and deploy end-to-end AI-powered solutions using AI models (e.g., OpenAI, Gemini) and modern orchestration techniques such as RAG, multi-call prompting, and agent frameworks to power intelligent product experiences., • Work with product, data, and engineering teams to turn rich healthcare data into actionable insights and intelligent workflows that improve the care journey for both members and providers., • Develop robust ML pipelines and platform components that enable model experimentation, fine-tuning, training from scratch when needed, and deployment in production environments — with a strong focus on scalability, safety, and performance., • Collaborate cross-functionally to prototype and productionize AI-driven features such as personalization, care routing, decision support, and summarization., • Drive architecture discussions and technical decision-making across AI/ML systems, promoting best practices in coding, design, and evaluation of AI models., • Mentor engineers and data scientists across the organization, fostering a strong culture of curiosity, experimentation, and AI fluency., • A strong track record in either:, • Building AI-powered applications using foundation models and orchestration techniques (e.g., RAG, agents, LangChain, vector search), or, • Deep experience as a data scientist working across the data science lifecycle — from understanding messy, complex datasets to training or fine-tuning models that deliver measurable business impact., • Experience integrating and deploying foundation models via platforms like OpenAI, Google Vertex AI, or similar., • A clear understanding of how to work with health-related datasets, including user behavior, care journeys, health profiles, and provider interactions., • Fluency in Python and experience with backend or platform engineering in one or more additional languages (Go, Java, etc.)., • Familiarity with cloud-native systems (e.g., containerization, orchestration, distributed systems) and how to operationalize AI solutions within them., • Experience with data preprocessing, feature engineering, model evaluation, and end-to-end ML deployment workflows., • A collaborative mindset, strong communication skills, and a passion for using AI to improve healthcare outcomes., • Bachelor's or Master's degree in Computer Science or related field, or equivalent experience. Maven embraces a flexible hybrid work model. Our teams primarily operate from the New York Metropolitan area, NY, San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C. For those in our New York City office, we encourage in-person collaboration by requiring team members to work onsite three days a week (Tuesday, Wednesday, Thursday). For those based in San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C., we encourage in-person collaboration by requiring team members to attend quarterly Work Together Days within these cities. This policy aims to balance remote work flexibility with the benefits of face-to-face interaction. At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams. Benefits That Work For You Our benefits are designed to support your health, well-being and career development, helping you thrive both personally and professionally. We remain focused on providing a competitive benefits package for our employees. On top of standards such as employer-covered health, dental, and insurance plan options, we offer an inclusive approach to benefits: • Maven for Mavens: access to the full platform and specialists, including care for mental health, reproductive health, family planning and pediatrics., • Whole-self care through wellness partnerships, • Hybrid work, in office meals, and work together days, • 16 weeks 100% paid parental leave and new parent stipend (for Mavens who've been with us for 1 year+), • Annual professional development stipend and access to a personal career coach through Maven for Mavens Maven is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Maven is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Maven Clinic interview requests and job offers only originate from an @mavenclinic.com email address (e.g ). Maven Clinic will never ask for sensitive information to be delivered over email or phone. If you receive a scam issue or a security issue involving Maven Clinic please notify us at: . For general and additional inquiries, please contact us at .

Job Description At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology. The Role You'll Play: At Playlist, we're reimagining how technology can foster meaningful, real-world connections. As a Senior Software Engineer on the SmartDesk team, you'll be at the forefront of building an AI-powered front desk assistant that transforms how wellness businesses communicate and operate. • Crafting end-to-end AI-powered experiences that seamlessly connect wellness businesses with their clients, • Designing and implementing robust web and messaging services that power conversational and workflow automation, • Integrating large language models (LLMs) and generative AI frameworks with a laser focus on safety, reliability, and user trust, • Collaborating closely with product, design, and applied AI teams to transform complex challenges into intuitive solutions, • Architecting scalable systems across frontend, backend, and integration layers, • Mentoring teammates through thoughtful code reviews and technical guidance, • Turning cutting-edge AI capabilities into practical, user-centric product features, • Driving technical excellence by making pragmatic engineering decisions that balance innovation, quality, and time to marketYou'll drive innovation by:, • Crafting end-to-end AI-powered experiences that seamlessly connect wellness businesses with their clients, • Designing and implementing robust web and messaging services that power conversational and workflow automation, • Integrating large language models (LLMs) and generative AI frameworks with a laser focus on safety, reliability, and user trust, • Collaborating closely with product, design, and applied AI teams to transform complex challenges into intuitive solutions, • Architecting scalable systems across frontend, backend, and integration layers, • Mentoring teammates through thoughtful code reviews and technical guidance, • Turning cutting-edge AI capabilities into practical, user-centric product features, • Driving technical excellence by making pragmatic engineering decisions that balance innovation, quality, and time to market The Experience You'll Bring:, • 5+ years of Senior-level experience building full-stack features for SaaS products, • Proven track record of developing user-facing web applications and supporting APIs, • Expertise in designing and shipping AI-powered features in production environments, • Strong experience with distributed systems, third-party integrations, and messaging platforms, • Proficiency in making architectural decisions that balance technical debt, innovation, and business needs, • Deep understanding of engineering fundamentals, including testing, observability, and maintainability, • Exceptional communication skills with the ability to collaborate across multidisciplinary teams, • Comfort navigating ambiguity and rapidly learning emerging technologiesTechnologies You'll Use:, • LLMs and Generative AI Frameworks, • AWS (ECS, SQS, RDS), • Python, • TypeScript / JavaScript The base salary range for this position in the United States is $151,000 to $201,000 USD. The total compensation package for this position may also include a performance bonus, benefits and/or other applicable incentive compensation plans. Have we piqued your curiosity? Sound like the role for you? We'd love to hear from you! Even if you're not 100% sure about potential fit, we still encourage you to apply. We're looking for the right person, not the perfect series of checkboxes. The Company is an Equal Opportunity Employer. We highly value diversity at our company and encourage people of all different backgrounds, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics. By entering your email and phone number and submitting your application, you consent to receive emails, calls and SMS about your application and other roles at The Company, including by auto-dialer. Message and data rates may apply. Opt-out or text STOP to cancel at any time. If you are a California resident or reside outside the United States then by submitting your application you confirm that you have read, understood, agree and - where applicable - grant your prior, free, informed and express consent for the processing of your personal information, including sensitive personal information, as described in our California Applicant Privacy Notice or International Applicant Privacy Notice (as applicable). Note: This description outlines key responsibilities but isn't intended to cover every task or duty. Additional responsibilities may be assigned as needed to support the team and business goals.

Job DescriptionSenior eDiscovery Litigation TechnologistEmployment Type: Full-Time, Executive-LevelDepartment: Legal CGS is seeking a dedicated Senior eDiscovery Litigation Technologist to join a fast-paced and hard-working team to assist with any legal accounts. As an eDiscovery Litigation Technologist, you will play a key role in supporting various aspects of the company's portfolio. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success:The Contractor shall provide litigation technology support to include, but not limited to the following activities: - Contractor shall monitor changes to laws that impact civil and criminal litigation to determine their impact on current FBI Discovery policies and procedures; - Contractor shall monitor the commercial industry to determine how new technology or best practices can be applied to improve FBI Discovery; - Contractor shall verify that any proposed solution to an existing requirement satisfactorily meets the underlying need; - Contractor shall conduct testing of system upgrades or patches prior to release; - Contractor shall verify that any proposed solution successfully delivers a new functional business capability that addresses one or more existing requirements; - Contractor shall provide advice on identifying, preserving, collecting, processing, and producing ESI in support of civil litigation, selected criminal matters, select FOIA requests, Congressional requests and other external inquiries using the current suite of FBI tools and processes; - Contractor shall monitor daily separation reports to identify departing legal hold custodians and ensure proper preservation of material subject to legal hold requirements; - Contractor shall update and/or create standard operating procedures of the ETA role; - The Contractor shall provide a strong technical background on the use of electronic discovery applications and provide a strong legal background and expertise on the electronic discovery applications Qualifications:- 5 (five) years of eDiscovery/litigation support experience with a focus on client solutions.- 3 (three) years of progressive more responsible experience on major lit support projects.- 2 years in Relativity, beyond document review coding.- Excellent communication, presentation, and interpersonal skills with both eDiscovery technical teams and non-technical business leaders and team players.- Ability to work in a fast-paced environment and agile work environment.- Experience and familiarity with eDiscovery Services covering all realms of the EDRM (File to Trial).- Must be a U.S. Citizen.- The ability to obtain a U.S. Government security clearance (active clearance preferred).- BS/BA degree or equivalent work experience (JD highly preferred). Our Commitment:Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work.Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package.- Health, Dental, and Vision- Life Insurance- 401k- Flexible Spending Account (Health, Dependent Care, and Commuter)- Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation!Explore additional job opportunities with CGS on our Job Board: more information about CGS please visit: or contact:Phone: +1 (888) 680-5916Email: #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The opportunityAs a Software Engineer in the Robotics and Automation group at Radical AI, you will design and deploy systems to automate our material science research and discovery laboratory. You will specialize in robotics, automation, and perception software development. Your experience and vision will shape both the physical and systematic implementation of lab automation. You will collaborate closely with Mechatronics, Mechanical Engineering and Material Scientists to meet rigorous and sometimes dynamic design requirements at a profound deployment speed. Mission • Architect and develop software systems that control and orchestrate robotic workcells for autonomous materials experimentation, • Design scalable control frameworks for flexible automation involving robots, motion systems, sensors, and lab instruments, • Collaborate with hardware, mechatronics, and science teams to translate experimental workflows into reliable automated processes, • Build and maintain APIs and services for scheduling, execution, monitoring, and data capture, • Develop simulation, testing, and validation tools to accelerate development and ensure system reliability, • Integrate 2D and 3D vision systems (cameras, lighting, depth sensors) with robotic manipulation, motion planning, and execution, • Optimize system performance, robustness, and throughput under rapid iteration cycles, • Contribute to technical direction, architecture decisions, and best practices across the robotics, perception, and automation software stack, • Mentor junior engineers and help establish engineering standards in a fast-growing organization, • Bring an attitude of collaboration and open-mindedness, to facilitate fearless and creative problem solving skills that empowers our team to ship world class technology at an unprecedented speed.About you, • Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field, • Four+ years of professional software engineering experience, with significant work in robotics or automation systems, • Strong proficiency in modern programming languages such as Python and C++, • Experience with robotic control frameworks (e.g., ROS/ROS2 or equivalent custom systems), • Experience with physical simulation environments (e.g. MuJoCo, IsaacSim), and hardware-in-the-loop testing, • Solid understanding of motion planning, state machines, real-time or near-real-time control systems, • Experience integrating hardware systems including robots, sensors, vision systems, and industrial equipment, • Ability to work independently in a hands-on, development-oriented environment., • Strong communication skills and ability to collaborate across engineering and scientific disciplines.Pluses, • Experience deploying autonomous systems in laboratory, manufacturing, or industrial environments, • Experience deploying autonomous mobile robots and working with simultaneous localization and mapping (SLAM), • Experience with reinforcement learning and computer vision applied to robotics, • Familiarity with machine learning applied to robotics, experimentation, or optimization, • Prior startup experience or ownership of systems from early prototype through productionWhat we offer, • A competitive compensation package also includes the best in benefits., • Medical, dental, and vision insurance for you and your family, • Mental health and wellness support, • 14+ company holidays per year, • 401K, • Work closely with a team on the cutting edge of AI research. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Job Description R2Net is a diamond bridal jewelry company with a technology soul. R2Net Inc. is an innovative technology company that provides e-commerce and supply chain platforms to connect the entire span of the diamond industry ecosystem, including manufacturers, retailers, and consumers. We are seeking an Intern who will be responsible for Manufacturing excellence documentation and will support the development of training documents SOPs and a comprehensive specification library for our core products. This role requires Graphic design, 3D design and CAD proficiency, the ability to layout visual training documents, to translate designs into clear technical documentation, and excellent communication skills. The intern is expected to work with urgency, accuracy, and a high level of ownership. Responsibilities: • Organize and maintain structured filing systems for training documents, SOPs, and QC materials to ensure accessibility, consistency, and version control, • Support preparation and standardization of QC training documentation, including tolerance guidelines, defect definitions, and onboarding materials aligned with workflows, • Develop and maintain SOPs for manufacturing, QC, and production, ensuring alignment with operational practices and consistency across tea, • Create, organize, and maintain a detailed CAD-based specification library for core products, • Develop and refine technical specifications for production and quality control use purposes., • Translate current production files into clear, accurate technical specifications and documentation, • Ensure all specifications meet internal standards and quality requirements, • Collaborate with CAD, Quality and Production teams to validate specifications and ensure they meet the required use cases, • Experience using CANVA software, office 360 suit and familiar with preparing presentations for training., • Hands-on experience using CAD software (Preferably Matrix, Rhino, or similar), • Familiarity with the concept of specifications for production and quality use, • Strong understanding of technical drawings, dimensions, tolerances, and materials, • Excellent written and verbal communication skills, • High level of organization and attention to detail, • Ability to work independently, responsibly, and with a sense of urgency, • Comfortable managing multiple tasks and meeting deadlines Hourly base pay: $17.00 - 19.50 Final pay rate shall be determined and is based on experience and qualifications. At this time, R2NET will not sponsor a new applicant for employment authorization for this position. What You’ll Gain: • Hands-on experience building a real-world CAD specification library used in production, • Improved skills translating design concepts into clear, professional technical documentation, • Practical experience collaborating with cross‑functional teams (design, engineering, production), • Strengthened CAD proficiency and technical accuracy through applied, deadline-driven work

Job Description Direct Counsel is partnering with one of the world’s leading technology and life sciences law firms to add a mid-level Mergers & Acquisitions Attorney to its nationally recognized corporate practice. This is a premier opportunity for attorneys who thrive on sophisticated deal work and want to be part of a team consistently recognized as a global leader in technology M&A. About the Practice The firm’s corporate group represents innovative companies at every stage—from early-stage startups to global public corporations. Their M&A practice is widely regarded as one of the strongest in the world, honored as: * 2022 Technology M&A Law Firm of the Year (Global M&A Network) * Top Tier Nationwide for M&A (Chambers USA) * Highest Tier for Middle-Market M&A (The Legal 500) The team has advised on over $750 billion in transactions, including complex acquisition programs for serial acquirers and major strategic exits for prominent unicorns. About the Role The ideal candidate will have 3–5 years of experience at a leading corporate firm, including: * Significant M&A transactional experience * Exposure to technology and/or life sciences transactions (preferred but not required) * Strong drafting, negotiation, and communication skills * Superior academic credentials * Active bar membership in the state of the office applied to (or eligibility to sit/waive in) Attorneys in this group work on high-impact, industry-shaping deals with cutting-edge companies and fast-growing innovators. Compensation & Benefits * Base Salary Range: $260,000 – $310,000 * Discretionary performance bonus * Full suite of competitive benefits, including: * Healthcare * Life insurance * Health Savings & Flexible Spending Accounts * Wellbeing programs * Salary will vary based on experience, qualifications, education, licensure, and office location. Why This Opportunity Stands Out This is an exceptional role for attorneys seeking to deepen their M&A expertise within a market-leading practice that consistently handles some of the highest-profile, highest-stakes transactions in tech and life sciences. About Direct Counsel Direct Counsel partners with leading law firms and in-house legal departments nationwide to connect talented attorneys with outstanding opportunities. We take pride in matching professionals with roles that align with their expertise, values, and long-term career goals. Apply confidentially by sending your resume to

Job Description Hi, we're Oscar. We're hiring a Senior Product Manager, Authorization Services to join our Product team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: Oscar is looking for a Senior Product Manager to help transform how healthcare authorizations work—one of the most complex, costly, and frustrating parts of the payer ecosystem. Today, prior authorization creates friction across the system: members face delays in care, providers navigate administrative burden, and payers incur significant operational cost. Our mission is to fundamentally redesign this experience. You will be part of the Authorization Services team, which is rethinking utilization management from a reactive approval process into a proactive, intelligent system that guides members to the right care—while minimizing or eliminating the need for manual authorization altogether. This is a high-impact, high-visibility role at the center of Oscar's next phase of innovation—and one of the highest-leverage opportunities at Oscar to apply AI to core healthcare workflows. You'll build and scale decisioning systems (e.g., auto-approvals, intelligent routing, proactive guidance) that improve member and provider experience and drive meaningful cost efficiency. For PMs looking to develop as AI-first product leaders, this is a unique opportunity to work on high-stakes applications of AI in healthcare. You will report into a Staff Product Manager. Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $163,944.00 - $215,176.50 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants and annual performance bonuses. Responsibilities: • Develop product strategy: Define the vision and roadmap for Authorization Services, identifying opportunities to improve member experience, reduce provider burden, and drive payer efficiency., • Lead discovery: Partner with Operations, Clinical, and Provider teams to deeply understand user needs, identify high-impact problems, and validate solutions., • Execute development: Work closely with Engineering, Design, and Data Science to build and launch high-quality, scalable products, including AI-driven decisioning systems., • Drive cross-functional collaboration: Collaborate with Operations, Legal, Compliance, and external partners to ensure solutions are operationally viable, compliant, and effectively delivered., • Measure and iterate: Define success metrics (e.g., auto-approval rate, turnaround time, operational efficiency), generate insights with Data partners, and continuously refine the product strategy., • Shape the future of the platform: Contribute to how AI and decisioning systems are applied across Oscar's core insurance workflows., • Compliance with all applicable laws and regulations., • 6+ years of experience collaborating cross-functionally among engineers, designers, operations experts, and others in a Product Management or Product Management-adjacent role., • 4+ years of experience in driving rigorous prioritization processes., • 4+ years of experience with tech systems and understanding basic technology infrastructure such as backend services, database relationships, and leveraging database tools such as SQL., • 2+ years of experience leading complex, cross-domain initiatives., • 2+ years of experience root-causing ambiguous problems, building roadmaps towards a solution, and successfully executing against that roadmap., • Compliance with all applicable laws and regulations., • Other duties as assigned. Bonus points: • Technical background or experience working on complex, technical systems., • Experience in healthcare, particularly payer or provider workflows., • Experience building or scaling AI/ML-driven products. This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job Description About Synchron Synchron’s vision is to build non-surgical brain–computer interfaces at global scale that protect the fundamental human rights of freedom of expression and autonomy. Our first mission is to develop motor decoders that restore the ability of 15 million people with paralysis to interact with the digital world. Our second mission is to develop whole-brain cognitive decoders that enable hundreds of millions of people with cognitive decline to preserve and expand their agency as cognition changes over time. In pursuing these goals, we aim not only to help humans flourish, but also to drive fundamental discoveries in human intelligence. Our team operates at the intersection of healthcare and technology, translating breakthrough research into real-world, safety-critical systems. Employment: Full-Time Location: Brooklyn, New York (Onsite) About the Role We are seeking an energetic, personable, and adaptive researcher to work directly with the pioneering participants of our brain-computer interface (BCI) product. This role bridges human neuroscience research, applied machine learning, and real-world BCI deployment. You will work closely with our machine learning, research engineering, clinical, and product teams to collect, analyze, and interpret neural and behavioral data, contributing directly to the improvement of real-time neural decoding models and user experience. Your work will directly translate to the ability of our users to control the BCI. The ideal candidate is resourceful, learns fast, handles uncertainties strongly, and has excellent experiment operations. You should be as comfortable speaking with participants and their caregivers as you are experimenting with model training pipelines or analyzing data. Key Responsibilities • Conduct research sessions with BCI users, including setup, calibration, and structured data collection., • Analyze and interpret multimodal data (neural, behavioral, video) to inform product and research decisions., • Develop and iterate on machine learning models for neural signal decoding and behavioral prediction., • Collaborate with machine learning and research engineering teams to align experimental protocols with product goals., • Document findings and methodologies for internal and external dissemination., • Support the design of human research protocols and ensure compliance with ethics and safety standards., • Bachelor’s, Master’s, or PhD in Neuroscience, Computer Science, Biomedical Engineering, or a related field (or equivalent experience)., • Expertise in Python, with model training workflows (e.g., PyTorch, TensorFlow, scikit-learn, metaflow), and data science frameworks and tools (e.g., NumPy, Pandas, SciPy, matplotlib, seaborn)., • Expertise in machine learning techniques and applications for real-time systems, • Demonstrated ability to problem-solve under uncertainty and adapt quickly to new environments., • Excellent interpersonal and communication skills for working directly with BCI users and research participants., • Experience conducting or supporting human research., • Familiarity with brain–computer interface systems or electrophysiological data., • Experience designing or executing experiments with human participants., • Experience in applied research environments integrating software, hardware, and data science.Compensation, • The base salary range for this role is $150,000 – $220,000USD depending on experience, skills, and qualifications. We are unable to offer visa sponsorship for this position at this time. Benefits (for W-2, full-time, exempt employees in the US only) ***Intern positions not eligible • Subsidized medical and dental insurance coverage for you and your dependent(s), • Life insurance, short-term disability, long-term disability, • 401k, • Discretionary unlimited PTO, • Flexible Spending Account for you and your dependent(s), with eligible plan elections, • Commuter benefits for NY employees Equal Employment Opportunity (EEO) Synchron is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants and provide equal employment opportunities without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable law. If you need a reasonable accommodation during the application or interview process, please let us know. Join Us At Synchron, you will be part of a transformative mission and you will work alongside driven people who believe in the power of collaboration and innovation to make a lasting impact. If you are excited to stretch your skills and contribute to something meaningful, apply and now and build the future with us.

Job Description AssistRx is a specialty pharmacy hub services company that manages therapy initiation and patient access programs for pharmaceutical manufacturers. The company’s flagship platform, iAssist, integrates at the point of prescribing and connects patients, providers, payors, and manufacturers across complex specialty therapy programs. Welsh, Carson, Anderson & Stowe acquired AssistRx in February 2024, and the company has grown significantly, supporting a broad portfolio of programs across therapeutic areas including oncology, immunology, rare disease, and obesity. Requirements POSITION SUMMARY The Data Scientist, ITA will be a primary analytical contributor within a small, high-performance team. Working directly alongside the Director / VP and two peer Data Scientists, this individual will own the design and execution of analytical models, generate program insights across key KPI families, and help build the client-facing outputs — pilot QBR materials, trend narratives, analytical summaries, prototype of insight-focused dashboarding — that define the ITA value proposition. The role requires a combination of technical depth in SQL and Python, working familiarity with statistical methods applicable to program performance analysis, and an orientation toward clear, audience-appropriate communication. Experience in pharma, pharma consulting, at a health insurer, or at a PBM is required: this work depends on understanding how specialty programs function, how manufacturers define success, and how data from hub operations connects to the broader access and reimbursement landscape. KEY RESPONSIBILITIES Analytical Execution · Design and execute ad hoc and recurring analyses for ITA client engagements, covering six defined families of KPIs · Build and maintain analytical models within the six KPI families — from patient outcomes through data quality — ensuring consistent definitions, reproducible methodology, and appropriate statistical rigor · Develop cohort analyses, funnel decompositions, survival curves, regression models, and distribution-based performance metrics that surface actionable insights within program data · Identify trends, anomalies, and comparative performance differentials across programs, payors, geographies, and time periods; frame findings as hypotheses with supporting evidence Client-Facing Output Development · Contribute to quarterly business review (QBR) preparation, including data pulls, visualization development, and narrative drafting under the direction of the Director / VP · Produce clean, client-ready analytical exhibits — charts, tables, and written summaries — formatted for manufacturer audiences including market access leadership and patient services teams · Participate in select client meetings as a technical resource; communicate methodology and findings clearly to non-technical stakeholders Productization & Documentation · Define analytical specifications and prototype outputs for validated insights; partner with the dedicated BI and report development team to translate ITA analytical work into productized ThoughtSpot and Power BI dashboards — ITA owns the logic, acceptance criteria, and narrative framing; the report development team handles production build · Maintain clear documentation of analytical methodologies, data transformations, and code to support reproducibility and team knowledge management · Surface upstream data quality issues that affect insight reliability; partner with data governance teams on remediation Continuous Improvement · Contribute to the evolution of the ITA analytical framework as new client engagements reveal novel questions and additional KPI families emerge · Stay current on emerging methods in healthcare analytics, specialty pharmacy data, and applied machine learning relevant to program performance and patient journey analysis REQUIRED QUALIFICATIONS · Approximately 5 years of experience in healthcare analytics, with direct experience in one or more of the following: pharmaceutical manufacturer (commercial, market access, or patient services analytics), pharma consulting, health insurer, or pharmacy benefit manager (PBM) · Strong proficiency in SQL; experience querying and manipulating data in cloud data warehouse environments (Snowflake preferred) · Python or R required; Python preferred (pandas, numpy, scipy, and scikit-learn) · Working knowledge of statistical methods applicable to program performance analysis: cohort analysis, survival analysis, funnel decomposition, regression modeling, distribution-based metrics, and experimental design and A/B testing frameworks · Experience producing structured, audience-ready analytical outputs — not just raw analyses; strong attention to how findings are communicated, not just computed · Clear, organized written and verbal communication skills; ability to explain quantitative findings in plain language · Bachelor's degree in a quantitative field (statistics, mathematics, data science, computer science, economics, or related); advanced degree a plus Benefits • Supportive, progressive, fast-paced environment, • Competitive pay structure, • Matching 401(k) with immediate vesting, • Medical, dental, vision, life, & short-term disability insurance, • Opportunity to impact patient outcomes through data-driven healthcare technology., • Collaborative and mission-driven culture that values innovation and continuous learning., • Access to cutting-edge cloud technologies and modern data engineering tools., • Competitive compensation, comprehensive benefits, and career growth opportunities AssistRx, Inc. is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit based factors, or any other protected categories protected by federal, state, or local laws. All offers of employment with AssistRx are conditional based on the successful completion of a pre-employment background check. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. Sponsorship and/or work authorization is not available for this position. AssistRx does not accept unsolicited resumes from search firms or any other vendor services. Any unsolicited resumes will be considered property of AssistRx and no fee will be paid in the event of a hire. The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities, or physical requirements. Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. ACKNOWLEDGEMENT I have read the foregoing job description and understand the responsibilities of the job. I agree that I am able to perform the essential duties of this position.

Job Description Director of Data Platform & Engineering Information Technology POSTED: 5/14/2026 ABOUT CJA The New York City Criminal Justice Agency (CJA) is a not-for-profit service and research organization that operates in partnership with the New York City Mayor's Office of Criminal Justice. CJA is the City's main pretrial services agency, combining operations, pilot projects, and research under one roof. CJA utilizes procedural justice practices to provide pretrial services to over 100,000 arrested annually in New York City. Information collected about these arrestees and subsequent case processing is maintained in the agency's internal and externally shared database systems, which are used to conduct descriptive and evaluation research on arrestee characteristics, case processing and court outcomes, and on issues and potential reforms to criminal justice policy in New York City. CJA's programs operate in the criminal courts and detention facilities 24 hours a day seven days a week within the 5 boroughs of NYC, employing over 300 employees, citywide. DEPARTMENT SUMMARY NYCJA's Information Technology team provides strategic vision, leadership, and innovative solutions so that CJA's internal and external stakeholders have the trusted data and applications they need to deliver high-quality IT solutions to support pretrial services and research. Our data platform powers operational decision-making that impacts individuals, programs, and city-wide strategy. Our systems and platform powers daily operations, and we are expanding our capabilities into a scalable cloud environment to support real-time data needs and long-term analytics and research. The Data Platform and Engineering Team designs, delivers and sustains operation of a secure, scalable and high-performing enterprise data ecosystem supporting mission-critical operations, analytics and strategic decision-making. Position Summary This position serves as the senior technical authority and program leader for enterprise data platform architecture, engineering and governance within NYCJA. Reporting to the IT Executive Director, this position plays a pivotal role in shaping data platform adoption and in driving data insights and innovation. Primary Responsibilities (Major Duties) • Lead the design, delivery, and operation of CJA's enterprise Data Platform (Data Hub) (Azure Gov stack, pipelines, storage, analytics, and access layers), including architecture, reliability, security, and cost management supporting mission-critical, real-time and analytical workloads, • Ensure secure, reliable and scalable data solutions that support operations, programs and strategic decision making, • Define and enforce data architecture, engineering standards, and governance (quality, lineage, access, stewardship), • Develop and oversee platform delivery strategy and execution across multiple workstreams, balancing operational stability, modernization and stakeholder needs, • Build, lead and develop the Data Platform Engineering team, including hiring, mentoring, with full accountability for delivery, platform health, standards, and stakeholder outcomes, • Partner with executive leadership and stakeholders to translate business needs into data platform solutions, • Advocate for platform health, investment, and long-term direction We are seeking a hands-on technical leader with deep experience building and operating enterprise data platforms in regulated, mission-critical environments. This role is responsible for leading and growing the Data Platform & Engineering team, with full accountability for delivery, platform health, technical standards, and stakeholder outcomes. The ideal candidate brings proven experience owning data platforms at scale, spanning architecture, data engineering, and operations. A strong background in Azure data services such as Data Factory, ADLS, and Synapse or equivalent cloud platforms is essential, along with experience working with real-time and operational data systems, not just batch analytics. Success in this role requires a deep understanding of data governance, including data quality, lineage, and access control, particularly within regulated environments such as CJIS or similar frameworks. The candidate must be able to lead and scale high-performing technical teams, driving accountability and consistent delivery while fostering a culture of ownership and continuous improvement. This position also demands strong stakeholder management skills, with the ability to translate complex business needs into practical, scalable solutions. The role operates across platform, application, and analytics boundaries, requiring close collaboration with Software Engineering teams and business stakeholders. The right candidate is equally comfortable setting strategic direction and executing against it, balancing long-term platform evolution with immediate operational demands in a complex and evolving environment Minimum Qualifications* • Ten (10) years of progressively responsible specialized experience., • Three (3) years of experience in senior-level leadership roles with broad operational responsibilities, • Applied knowledge of CJIS-like governance, Data Factory, Synapse, ADLS or equivalent platforms, Power BI or equivalent tools, APIs and AI-enabled workloads. Salary: $185k- $235K + comprehensive benefits BENEFITS: CJA offers a very generous benefit plan including health, dental and vision insurance, a comprehensive mental health, and wellness, Employee Assistance Program (EAP) plan, four weeks' vacation, paid holidays, and a retirement plan with employer matching contributions. CJA is also strongly committed to professional learning and development for its staff members and offers staff varied opportunities for learning and development through partnerships and vendor services for web based, in-person professional development training, as well as in-house job training and development. HYBRID WORKSCHEDULE: M-F 9AM-5PM (T-Thurs in office/ Mon & Fri remote) CJA VALUES Each employee at CJA is guided by these values in our work: • Commitment: We are active partners in criminal justice reform., • Fairness: We are guided by fairness and the presumption of innocence for those who are detained and work with integrity and without bias to protect the privacy and interest of court-involved people and their families. CJA is committed to creating a diverse work environment and is proud to be an equal opportunity employer. We do not discriminate based on race, color, national origin, sex, gender identity, religion, sexual orientation, age, disability, parental status, veteran status, or any other protected status under applicable laws. We encourage individuals of all backgrounds to apply. CJA is seeking applicants who pursue professional development pathways by participating in educational opportunities, reading professional publications, maintaining professional networks, and engaging with professional associations *Note: Only those candidates being considered will be contacted.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at You'll Do: A lab signs with CoreWeave. They have thousands of GPUs waiting. Their first month? Spent on cluster setup instead of research. Building deployment scripts, fighting container images, wiring up job orchestration. They came to train models. Instead, they're doing operations. This is the problem. We're building the Applied Training team to fix it. You'll be an early member of a small team, responsible for our Kubernetes-native research cluster platform, or the sandbox client for agentic training and evaluation, or possibly a new project altogether. The goal is specific: Give every CoreWeave customer the research infrastructure that currently only exists inside frontier labs. About the role: • Contribute to the roadmap for Applied Training. Figure out what actually unlocks new workloads and what's just nice to have. Work directly and closely with customers, and other teams inside of CoreWeave that are building cloud native primitives. Compute, storage, networking, etc., • For the research cluster platform: design and build a complete research cluster experience. CLI, job configuration schema, Kubernetes operators, daemons. Solve the problems researchers actually hit: code distribution, checkpoint-triggered evaluation, cross-cluster scheduling, programmatic job control. Replace the patchwork of scripts customers keep building on their own., • For sandbox infrastructure: own the Python SDK and work in a very tight loop with the backend team. When an RL training run needs to spawn thousands of isolated containers for agent rollouts, that's this system. When someone wants to run agent benchmarks at scale, that's this system. Make it work with our Kubernetes clusters, storage, and auth so researchers don't have to think about infrastructure., • Write the documentation for running popular OSS training frameworks on CoreWeave. The work that can unblock customers and help them succeed., • Work with infrastructure teams and customers directly. The customers are large AI labs running thousands of GPUs. Understand how they structure their internal supercomputing stacks. Bring that knowledge back to what we build.Who You Are:, • 8-12+ years building distributed systems, ML infrastructure, or developer platforms., • Real Kubernetes experience: custom controllers, operators, scheduling, CRDs, workload orchestration at scale. Not just deploying things to Kubernetes or cluster administration., • Excited about rigorous engineering, but enabled by AI based workflows., • You understand what makes researchers productive. Code distribution matters. Fast iteration cycles matter. Workflows that don't require becoming infrastructure experts matter., • Familiarity with training: how distributed jobs get scheduled, how ranks initialize, what breaks at scale., • You've shipped infrastructure that other people rely on daily. Not prototypes. Production systems., • Experience building internal ML platforms or research clusters at a company doing large-scale training., • Familiarity with agentic AI: RL training with rollouts, agent evaluation, sandbox isolation for running untrusted code., • Background with Slurm, Ray, or similar workload orchestration. Opinions on where they fall short., • Experience with container runtimes, isolation (gVisor, Kata), or serverless platforms., • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description About impact.com impact.com is the world's leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products - Performance (affiliate), Creator (influencer), and Advocate (customer referral) - unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands - including Walmart, Uber, Shopify, Lenovo, L'Oréal, and Fanatics - rely on impact.com to power more than 350,000 partnerships that deliver measurable business results. Your Role at impact.com: We're seeking a Senior Data Scientist to serve as an embedded Data Scientist within our Programmatic Experience Group. You'll own the design and deployment of machine learning models that optimize yield, pricing, and inventory allocation at scale — sitting at the intersection of data science, platform engineering, and marketplace economics. This is a high-craft, high-ownership individual contributor role. You'll work end-to-end: architecting the data pipelines that feed your models, engineering the features that drive performance, and deploying real-time inference systems that make decisions at speed. Your work directly determines how effectively Impact's programmatic marketplace balances advertiser performance with publisher monetization — making this one of the highest-leverage technical roles in the business. You'll collaborate closely with Product, Data Science, and Programmatic Delivery Engine Engineering, but you operate with significant autonomy. You're expected to bring both the modeling rigor of a data scientist and the production instincts of an ML engineer — and to be genuinely excited about both. What You'll Do: Yield Optimization & Pricing Models • Design and deploy ML models that optimize auction pricing, bid shading, floor price setting, and yield across Impact's programmatic inventory., • Build and iterate on real-time pricing algorithms that balance short-term revenue efficiency with long-term publisher and advertiser health., • Develop and maintain feedback loops that allow pricing models to adapt to shifting market conditions, inventory mix, and demand patterns., • Own ML-driven inventory allocation logic: routing, pacing, and matching supply to demand across partner segments, deal types, and campaign objectives., • Build models that forecast inventory availability, demand curves, and clearing prices to support proactive allocation decisions., • Design and own the data infrastructure that feeds programmatic models: event pipelines, feature stores, training datasets, and real-time feature serving., • Engineer high-signal features from auction logs, bid stream data, user signals, contextual attributes, and historical performance — at the scale of programmatic data volumes., • Deploy models to production real-time inference environments; own latency, reliability, and throughput requirements for auction-time decision-making., • Build monitoring systems that track model performance, data drift, and system health in production; define alerting thresholds and retraining triggers., • Partner with MLOps and Platform Engineering to ensure scalable, low-latency serving infrastructure meets SLOs under high-volume auction traffic., • Design and execute rigorous A/B and holdout experiments to measure the causal impact of model changes on yield, fill rate, advertiser performance, and publisher revenue., • Build evaluation frameworks that go beyond offline metrics — validating model behavior in live auction environments where feedback signals are delayed or noisy., • Research and implement adaptive, self-learning components within the programmatic stack — including contextual bandits, reinforcement learning signals, and online learning approaches where appropriate., • Design feedback mechanisms that close the loop between auction outcomes, model updates, and system behavior; reduce reliance on manual tuning and rule-based overrides., • Serve as the primary ML technical partner for the Rubicon product and engineering teams; translate business requirements into modeling approaches and communicate technical tradeoffs clearly., • Collaborate with Data Science peers on shared infrastructure, modeling standards, and cross-domain feature reuse. Required • Experience: 5+ years in data science, ML engineering, or quantitative research, with at least 2+ years building and deploying ML models in programmatic advertising, ad tech, marketplace optimization, or a closely related domain (e.g., real-time bidding, dynamic pricing, auction systems)., • Programmatic & marketplace depth: Demonstrated understanding of programmatic auction mechanics (RTB, header bidding, floor pricing, deal types, bid shading) and how ML can be applied to optimize outcomes across the supply-demand stack., • Production ML engineering: Proven ability to take models from prototype to production independently — including real-time inference, monitoring, retraining pipelines, and SLO ownership., • Data architecture: Experience designing and building data pipelines, feature stores, and training infrastructure for high-volume, low-latency ML systems., • Technical skills:, • Strong Python and SQL; proficiency with ML libraries (scikit-learn, XGBoost, LightGBM, PyTorch/TensorFlow) and large-scale data tools (Spark, Kafka, or equivalent streaming/batch frameworks)., • Experience with real-time feature serving and low-latency model deployment (REST APIs, gRPC, or streaming inference)., • Familiarity with production ML workflows: model versioning, drift monitoring, A/B testing, evaluation, and retraining., • Experience processing and modeling at programmatic data scale: high-cardinality auction logs, bid stream data, impression and click events., • Experimentation rigor: Strong grasp of causal inference and experiment design in online, delayed-feedback environments (auction holdouts, switchback tests, variance reduction techniques)., • Communication: Ability to explain complex modeling decisions and tradeoffs to Product and business stakeholders; comfortable presenting in cross-functional forums., • Direct experience with SSP, DSP, or exchange-side yield optimization — particularly floor price optimization, bid landscape modeling, or deal matching algorithms., • Familiarity with auction theory (first-price vs. second-price dynamics, optimal reserve pricing, revenue equivalence) and its practical implications for programmatic ML., • Experience with contextual bandits, multi-armed bandits, or reinforcement learning applied to real-time decisioning problems., • Knowledge of online learning and adaptive algorithms in production environments with non-stationary data distributions., • Familiarity with privacy-preserving ML techniques relevant to programmatic (differential privacy, federated learning, cookieless attribution modeling)., • Experience with GCP tools (BigQuery, Vertex AI, Dataflow, Pub/Sub) and/or Databricks/Spark for large-scale event processing and model training., • Exposure to supply forecasting, inventory management, or capacity planning in programmatic or marketplace contexts., • Marketplace intuition. You understand programmatic auctions not just as an engineer but as an economist — you think about incentive structures, equilibrium dynamics, and how model decisions ripple through the supply-demand stack., • Full-stack ML ownership. You're as comfortable designing a feature store schema as you are tuning a gradient boosting model or debugging a latency spike in production. You own the whole chain., • Feedback loop thinking. You don't just deploy models — you design the systems that make them smarter over time. You think about how today's decisions become tomorrow's training signal., • Rigor under real-world constraints. You know how to run clean experiments in environments where feedback is delayed, data is noisy, and business pressures create tradeoffs. You don't let imperfect conditions become an excuse for imprecise thinking., • Pragmatic delivery. You ship. You balance the perfect with the production-ready, iterate fast, and know when an MVP outperforms a six-month research project. *This is the pay range the Company believes is equitable for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Benefits and Perks: At impact.com, we believe that when you're happy and fulfilled, you do your best work. That's why we've built a benefits package that supports your well-being, growth, and work-life balance. • Medical, Dental, and Vision insurance, • Office-only catered lunch every Thursday, a healthy snack bar, and great coffee to keep you fueled, • Flexible spending accounts and 401(k), • Flexible Working: Our Responsible PTO policy means you can take the time off you need to rest and recharge. We're committed to a positive work-life balance and provide a flexible environment that allows you to be happy and fulfilled in both your career and your personal life., • Health and Wellness: Your well-being is a priority. Our mental health and wellness benefit includes up to 12 fully covered therapy/coaching sessions per year, with additional dependent coverage. We also offer a monthly gym reimbursement policy to support your physical health., • A Stake in Our Growth: We offer Restricted Stock Units (RSUs) as part of our total compensation, giving you a stake in the company's growth with a 3-year vesting schedule, pending Board approval., • Investing in Your Growth: We're committed to your continuous learning. Take advantage of our free Coursera subscription and our PXA courses., • Parental Support: We offer a generous parental leave policy, 26 weeks of fully paid leave for the primary caregiver and 13 weeks fully paid leave for the secondary caregiver. #LI_NewYork_NewYork