Product Manager, Developer Productivity Anthropic PBCProduct Manager, Developer ProductivityNew York City, NY$385,000–$595,000 / yearResponsibilities: Deeply understand the needs of internal customers across Research, Inference, Infrastructure, and Product-from researchers iterating on training code who need fast, reproducible builds to inference engineers managing compute-intensive toolchains with strict compatibility constraints. Your work directly impacts engineering velocity across the entire company: defining the abstractions for how code moves from idea to production, establishing the metrics that surface friction before it compounds, and making the trade-offs that keep a rapidly scaling engineering organization shipping with confidence.
Engineering Manager, Research Tools Anthropic PBCEngineering Manager, Research ToolsNew York City, NY$1–$2 / hourYou'll work with research teams to incorporate their innovations into our production finetuning pipeline, product teams to help us iterate quickly on customer-oriented model improvements, and infrastructure teams to make sure our training runs and data pipelines are as efficient as possible. As a manager, you'll support a team of machine learning and distributed systems experts to make these systems and tools highly efficient, support fast iteration on model development and research, and evolve the infrastructure continuously to incorporate new research advances.
Support Engineer Anthropic PBCSupport EngineerNew York City, NY$210,000–$250,000 / yearAs a Support Engineer, you''ll be providing high-touch, deeply contextual support to a defined book of accounts - embedded in your customers'' shared channels, known by name to their stakeholders, and partnering closely with Sales, Customer Success, and Applied AI as the technical support voice on the account team. You''ll bring deep knowledge of how each of your customers is built on Claude to every interaction, so you can investigate, diagnose, and resolve their most complex technical needs with nuance and speed - and ensure the right internal teams are engaged when needed.
Customer Success Programs Manager Anthropic PBCCustomer Success Programs ManagerNew York City, NYThis research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Design and ship Claude-powered engagement plays that replace or augment traditional CSM touchpoints: use-case discovery chats, digital QBRs, health reviews, feature nudges, consumption-drop saves, and expansion prompts.
Product Manager, Multi-Cloud Growth - Google Anthropic PBCProduct Manager, Multi-Cloud Growth - GoogleNew York City, NY$305,000–$385,000 / yearThis research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. The platform team is comprised of three key areas: Enterprise fabric - where we are building multi-cloud integrations at extreme scale across our entire stack to meet businesses wherever they are and in the most demanding of requirements.
Staff+ Software Engineer, Platform Anthropic PBCStaff+ Software Engineer, PlatformNew York City, NY$405,000–$485,000 / yearThis research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products.
Sr Lab System Support Engineer TechDigital CorporationSr Lab System Support EngineerRahway, NJSr Lab System Support Engineer plays a key role in supporting laboratory operations by ensuring the smooth functioning of lab systems, analytical instruments, and data workflows. Lab System Lifecycle Management: Manage end to end lab system lifecycle including implementation validation maintenance and decommissioning.
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.
Applied Researcher I Capital One Financial CorpApplied Researcher INew 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.
Applied Researcher II (AI Foundations) Capital One Financial CorpApplied Researcher II (AI Foundations)New York, NY$262,500–$299,600 / yearBasic 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. 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.
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 Behavioral Models: PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems Experience with production real-time and streaming environments Contributions to common open source frameworks (pytorch-geometric, DGL) Proposed new methods for inference or representation learning on graphs or sequences Worked datasets with 100m+ users. Optimization (Training & Inference): PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design.
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.
Electrical Engineer ChemoursElectrical EngineerNewark, NJ$110,544–$172,725 / yearThe 340 scientists, engineers, and technicians at the site work in 130 laboratories, an electrical cable prototyping line, and 15 chemical process enclosures/barricades that provide 320,000 square feet of space for research and development, technical service, and manufacturing support of Chemours businesses. The Chemours Newark Area Technology organization is seeking to engage an Electrical Engineer to support collaborative R&D projects, Pilot Operations, and Facility Management activities at three Chemours sites in the greater Newark, DE, area.
Campus Quantitative Researcher, Ug/Ms (Full-Time) Jump TradingCampus Quantitative Researcher, Ug/Ms (Full-Time)New York, NYOur trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. At Jump you will have the opportunity to contribute in a blend of three roles - quant researcher / data scientist, trader, and software developer - based on your incoming skills and background, interest and curiosity, and the new skills and industry knowledge that you will learn at Jump.
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 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.
Senior Specialist, Search Known Global LLCSenior Specialist, SearchNew York, NY$80,000–$90,000 / yearSenior Specialists are expected to have excellent critical thinking skills, with an innate sense of curiosity and the desire to explore new ways to evolve and improve campaign setup to deliver ROI for our clients. That structure earned us an Ad Age #3 A-List ranking, back-to-back Data & Insights Agency of the Year wins, plus Emmys, Cannes Lions, Clios, and Effies across clients in finance, tech, entertainment, consumer goods, and real estate.
Principal/Senior Software Engineer, Experimentation Platform - CoreAI Microsoft CorpPrincipal/Senior Software Engineer, Experimentation Platform - CoreAINew York, NY$119,800–$234,700 / yearPreferred: Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Qualifications Required: Bachelors Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
(Senior) Software Engineer, Experimentation Platform - CoreAI Microsoft Corp(Senior) Software Engineer, Experimentation Platform - CoreAINew York, NY$102,100–$202,200 / yearPreferred: Masters Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelors Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Qualifications Required: Bachelors Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Vice President, Clinical Operations Formation Bio IncVice President, Clinical OperationsNew York City, NY$350,000–$425,000 / yearLead global site identification, feasibility assessment, and start-up execution across Formation's clinical portfolio, leveraging AI-powered site performance analytics fed by third-party enrollment intelligence, public trial registries, and real-world patient data to build the predictive infrastructure that prioritizes sites with the highest probability of on-time activation and patient accrual, and that compounds in value as Formation accumulates its own trial data over time. Given Formation's tech-forward model, candidates must bring not only deep operational expertise but also a sharp, defensible point of view on where AI and automation should replace traditional clinical operations workflows and the track record to back it up when it comes to applying AI and digital tools to compress timelines, elevate site performance, and generate richer, machine-ready trial data.