Health Data User Researcher, Bureau of Data Technology & Strategy City of New YorkHealth Data User Researcher, Bureau of Data Technology & StrategyQueens, NYYou will be integral in developing modern digital products to communicate Health Department data - designing and refining interactive data webpages that explain data for use by the public, including policymakers, advocates, media, researchers, and everyday New Yorkers. To be appointed to Assignment Level II and above, candidates must have: A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or.
NewRemote Health Services Manager TuringRemote Health Services ManagerNew York, New YorkRemote$100–$150Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems.
X-Day Offensive Research (XOR) Vulnerability Researcher JPMorgan Chase & CoX-Day Offensive Research (XOR) Vulnerability ResearcherJersey City, NJLeverage threat intelligence and security research to stay ahead of emerging threats, vulnerabilities, industry best practices, and regulations, applying this knowledge to enhance the firm''s assessment strategy and risk management, and engaging with peers and industry groups that share threat intelligence analytics. Hands-on proficiency exploiting complex vulnerability classes - including use-after-free, double free, type confusion - and applying advanced exploitation techniques such as heap spraying and controlled memory corruption to achieve reliable code execution.
Applied AI ML Researcher Director JPMorgan Chase & CoApplied AI ML Researcher DirectorJersey City, NJJPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. As an Applied AI ML Researcher Director in the Applied AI Research team, you will be a builder, a scientific pioneer and mentor who bridges the gap between leading edge theory and enterprise-grade, large-scale, deployable systems.
Applied AI ML Researcher Lead JPMorgan Chase & CoApplied AI ML Researcher LeadJersey City, NJAs an Applied Artificial Intelligence and Machine Learning Lead at JPMorganChase within the Applied AI Research team in Commercial and Investment Banking, you will help build autonomous agent systems that can reason, plan, act, and learn to solve high-impact business problems. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P.
Sr. User Researcher Peloton Interactive IncSr. User ResearcherNew York, NY$173,478–$213,957 / yearThis Senior User Researcher will work directly with Product Managers, Industrial Designers, Mechanical Engineers, Field Testing Program Managers, Data Scientists, and Product Designers, and will report to the Director, User Research. Collaborate with Product Managers, Industrial Designers, Engineers, and Field Testing Program Managers to identify hardware user research goals based on ambiguous problem statements, and then scope, plan, and execute research to address those goals.
Senior Researchers (Faculty) Rutgers The State University of New JerseySenior Researchers (Faculty)New Brunswick, NJThe specific benefits vary based on the position and may include: • Medical • Prescription drug • Dental coverage • Paid vacation • Holidays • Various leave programs • Competitive retirement benefits • Including defined contribution plans and voluntary tax-deferred savings options • Employee and dependent educational benefits when applicable • Life insurance coverage • Employee discount programs. The Department of Pediatrics at Rutgers Robert Wood Johnson Medical School (RWJMS) in collaboration with the Child Health Institute of New Jersey (CHINJ) is seeking outstanding senior researchers to join a vibrant and growing Department affiliated with a growing Childrens Service Line at the RWJBarnabas Health system.
NewSTRIVE Project Director and Qualitative Researcher Scientist Research Foundation of The City University of New YorkSTRIVE Project Director and Qualitative Researcher ScientistNew York, New York$32.96–$54.95 / hourOur team at City University of New York (CUNY) School of Public Health and the Institute for Implementation Science in Population Health is leading a groundbreaking research initiative, the "Social Contact-Based Brief Video Interventions To Reduce Stigma and Improve Engagement in HIV Prevention and Care and Mental Health Care for Youth Living with and Vulnerable to HIV (STRIVE)" project. This position provides a unique opportunity to contribute to the development of intersectionally tailored brief videos to reduce public and internalized HIV stigma (BVHS) and increases HIV prevention, HIV care, and mental health treatment-seeking among young sexual minority men living with or vulnerable to HIV.
Quant Researcher - Agentic AI CTO Office Bloomberg LPQuant Researcher - Agentic AI CTO OfficeNew York, NY$155,000–$285,000 / yearThe problems you'll work on are complex, cutting-edge, and highly impactful; spanning everything from signal research, to portfolio construction, and to macroeconomic modeling and cross-asset investment strategies. We envision, design and prototype the next generation infrastructure, hardware and applications that interface in all aspects of the company including financial products, broadcast and media, data centers, internal IT and our global network.
NewX-Day Offensive Research (XOR) Vulnerability Researcher JPMorgan Chase Bank, N.A.X-Day Offensive Research (XOR) Vulnerability ResearcherJersey City, NJFull timeLeverage threat intelligence and security research to stay ahead of emerging threats, vulnerabilities, industry best practices, and regulations, applying this knowledge to enhance the firm's assessment strategy and risk management, and engaging with peers and industry groups that share threat intelligence analytics. Hands-on proficiency exploiting complex vulnerability classes - including use-after-free, double free, type confusion - and applying advanced exploitation techniques such as heap spraying and controlled memory corruption to achieve reliable code execution.
Visiting Researcher (Per Diem) Rutgers The State University of New JerseyVisiting Researcher (Per Diem)New Brunswick, NJMISSION: Our mission is to accelerate scientific discovery focused on understanding cancer, innovating cancer treatment, and improving cancer prevention; to provide outstanding, novel, and compassionate patient care; to provide evidence-based and culturally informed education to physicians, nurses, researchers, staff, and the community; and to achieve cancer health equity in our state through outreach to and engagement of our extraordinarily diverse communities. By engaging with and empowering our exceptionally diverse populations, and addressing their questions and fears, we will engender hope for cancer patients and their families and play a critical role in strengthening the fabric of our communities by gaining and protecting their trust and providing access to the outstanding oncology care each person deserves.
Applied Researcher I Capital One Financial CorpApplied Researcher INew York, NY$218,700–$249,600 / yearBehavioral Models PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems Experience with production real-time and streaming environments Contributions to common open source frameworks (pytorch-geometric, DGL) Proposed new methods for inference or representation learning on graphs or sequences Worked datasets with 100m+ users. Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design.
Applied Researcher II Capital One Financial CorpApplied Researcher IINew York, NY$262,500–$299,600 / yeartechnical 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. 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.
Applied Researcher II (AI Foundations) Capital One Financial CorpApplied Researcher II (AI Foundations)New York, NY$262,500–$299,600 / yearCurrently 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. Model Building Experience: 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.
Distinguished Applied Researcher Capital One Financial CorpDistinguished Applied ResearcherNew York, NY$278,400–$317,700 / yearPreferred Qualifications: • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields • LLM PhD focus on NLP or Masters with 10 years of industrial NLP research experience • Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs • Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) • Has worked on an LLM (open source or commercial) that is currently available for use • Demonstrated ability to guide the technical direction of a large-scale model training team • Experience with common training optimization frameworks (deep speed, nemo) • Experience contributing to the team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs.
Applied Researcher I (AI Foundations) Capital One Financial CorpApplied Researcher I (AI Foundations)New York, NY$218,700–$249,600 / yeartechnical 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. 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.
Applied Researcher II (AI Foundations, LLM Core and Agentic AI) Capital One Financial CorpApplied Researcher II (AI Foundations, LLM Core and Agentic AI)New York, NY$262,500–$299,600 / yeartechnical 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. 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.
Applied Researcher I (AI Foundations, LLM Core and Agentic AI) Capital One Financial CorpApplied Researcher I (AI Foundations, LLM Core and Agentic AI)New York, NY$218,700–$249,600 / yeartechnical 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. 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.
Visiting Researcher Rutgers The State University of New JerseyVisiting ResearcherNew Brunswick, NJMISSION: Our mission is to accelerate scientific discovery focused on understanding cancer, innovating cancer treatment, and improving cancer prevention; to provide outstanding, novel, and compassionate patient care; to provide evidence-based and culturally informed education to physicians, nurses, researchers, staff, and the community; and to achieve cancer health equity in our state through outreach to and engagement of our extraordinarily diverse communities. By engaging with and empowering our exceptionally diverse populations, and addressing their questions and fears, we will engender hope for cancer patients and their families and play a critical role in strengthening the fabric of our communities by gaining and protecting their trust and providing access to the outstanding oncology care each person deserves.
Applied Researcher I (AI Foundations, Recommendation Systems, Personalization, Reinforcement Learning) Capital One Financial CorpApplied Researcher I (AI Foundations, Recommendation Systems, Personalization, Reinforcement Learning)New York, NY$218,700–$249,600 / yearBasic 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. 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.