Conduct frontier AI research on LLMs, embedding models, and rerankers for RAG and semantic search. Requires PhD in CS or related field plus strong publication record in top ML venues.
Senior Software Engineer applying ML/AI techniques to fintech problems like fraud detection and user conversion. Requires 5+ years backend engineering (Java/JVM) and 2+ years deploying production ML models.
As a Machine Learning Researcher, you will design and evaluate datasets, tasks, and environments for advanced AI systems, focusing on RL and agentic systems. You will develop frameworks for data quality, benchmark model behavior, and build scalable evaluation tooling.
Jellyfish is seeking a Staff/Lead Data Architect to design, automate, and scale their next-generation data platform. This role involves maturing core data models, automating environment boundaries, and driving advanced observability and cost-attribution into the data pipeline architecture.
Jellyfish is seeking a Data Engineer to join their data platform team. This role involves building, automating, and maintaining data pipelines, translating architectural blueprints into production-grade pipelines, and ensuring high performance and data integrity.
Jellyfish is seeking a Senior Data Engineer to build, automate, and execute the next generation of their data platform. The role involves maintaining end-to-end data pipelines, modernizing orchestration, and automating data infrastructure.
As a Staff Engineer, you will lead the design and evolution of data, backend, and ML infrastructure systems for Spotify's Content Intelligence Product Area. You will build scalable infrastructure for multimodal content processing and drive architectural decisions across distributed systems and AI-enabled platform capabilities.
Lead a team of data scientists and analysts to conduct rigorous research into fraud patterns, adversarial networks, and emerging attack typologies. Translate complex findings into actionable insights for product, models, and strategy, and represent Socure externally as a thought leader in fraud and identity.
Design and implement scalable data infrastructure using Spark/Scala on AWS. Build data pipelines, knowledge graphs, and APIs to support a high-growth CTV advertising platform.
Build and optimize distributed LLM inference systems at scale using Ray, integrating with engines like vLLM to deliver high-throughput, low-latency batch and online inference solutions.
Research intern developing world-action foundation models for robotics and simulation, working on vision-physics integration, Gaussian splatting, and related areas for publication at top conferences.
Research intern supporting cutting-edge work in humanoid robotics, robotic simulation, RL training, and human data processing for next-generation physical AI systems. Requires current PhD or MSc studies in ML, computer vision/graphics, or robotics.
Research intern focused on reinforcement learning for autonomous driving and robotics. Current PhD or MSc student in ML, CV, or robotics conducting novel RL research and publishing at top-tier conferences.
Research intern role focused on reinforcement learning for robotics, particularly dexterous manipulation. Requires current PhD/MSc studies in ML, CV, or robotics.
Research intern developing 3D vision and generation models (foundation models, Gaussian splatting, multi-modal pretraining) for autonomous driving and robotics. Requires current PhD/MSc studies in ML, CV/graphics, or robotics.
Build, train, and deploy production ML models for underwriting and portfolio management at Stripe Capital. Requires 5+ years shipping ML systems with PyTorch/TensorFlow and experience in lending/fraud domains.
Senior Data Scientist building data-driven products and product analytics at Databricks. Works with PM, Sales, and CS stakeholders on usage forecasting and funnel analysis; mentors junior data scientists.
Lead biosignal algorithm development from requirements to production for medical devices, leveraging ML/DL, DSP, and statistics. Requires 4+ years industry experience bringing algorithms into production.
Senior Data Analyst responsible for developing business analyses, automating reporting, and providing decision support using large datasets. Requires strong SQL skills and 4-6 years of analytical experience.
Senior Data Analyst to own data models, ensure analytics quality, and deliver insights for a consumer fintech. Requires 5+ years analytics experience and 2-3 years in fintech with advanced SQL, dbt, Looker, and Python.
Design, train, and productionize ML models and pipelines for AI-enabled security/observability platforms. Requires 4+ years experience with Python, PyTorch/TensorFlow, and modern ML techniques.
Strategic Principal Product Analyst embedded in the Insurance product quad-pod to define success metrics, drive experimentation, build analytics infrastructure, and influence AI-powered product direction.
Lead analyst building analytical frameworks and standardized reporting for insurance operations. Owns business case development and serves as primary data consultant for department heads, translating complex insurance data into executive-ready strategic insights.
Build and deploy production-grade agentic AI systems and automation workflows that drive efficiency across sales, marketing, finance, and other business functions. Partner with stakeholders to identify high-impact use cases and deliver reliable, observable LLM-powered solutions.
Build ML models and decision systems for search, ranking, candidate-job matching, and marketplace optimization at a fast-growing AI talent platform.
Staff Analytics Engineer building and maintaining a scalable analytics layer powering strategic analytics, operations, and reporting at a healthcare marketplace.
Founding Data Lead building analytics from scratch at a stablecoin infrastructure startup. Own metrics, dashboards, and customer insights across onchain, product, and financial data.
As an AI Engineer, you will own the full AI engineering lifecycle, from design to optimization, for Snowflake Database Engineering products. You will build agentic workflows, coding harnesses, and evaluation pipelines, working with a high-powered engineering team.
Senior engineer building and operating AI/ML production infrastructure including MCP servers, agent orchestration, LLM workflows, and RAG systems. Requires 7+ years experience with 2+ years in AI/ML infrastructure.
Senior Applied Research Engineer driving AI system quality through experimentation and evaluation of RAG, retrieval, and reasoning systems. Requires 5+ years applied ML/NLP experience with strong Python and evaluation methodology skills.
Director-level ML leader to define vision and drive execution of Pinterest's foundational content and user understanding models powering homefeed, search, ads and more.
Lead end-to-end data science projects spanning growth experiments, repayment forecasting models, and data infrastructure. Build ML models, design metrics, and partner cross-functionally to expand responsible access to capital.
Senior Analytics Engineer designing data pipelines, building dashboards in Tableau/Looker, and delivering analytics solutions for healthcare clients. Requires 5+ years experience, strong SQL and data viz skills.
Conduct advanced SQL-based data analysis and build fraud rulesets to detect and mitigate complex transaction fraud across payments and e-commerce. Collaborate with product, data science, and operations teams to implement risk controls and reduce fraud losses.
Design, build, and maintain scalable data pipelines and AI infrastructure on AWS. Partner with engineering and product teams to deliver production-ready ETL/ELT systems, data platforms, and AI workflows.
Build dashboards, define metrics, and partner with AI/product teams to drive data-informed decisions on customer interactions and agent performance. Requires 3+ years experience, strong SQL/dbt skills, and warehouse experience.
Lead advanced analytics for host acquisition at Airbnb, driving data analysis, metric definition, experimentation, and strategic insights to support growth initiatives.
Senior People Data Scientist serving as an enterprise-wide analytics thought partner, owning complex analytical workstreams, designing self-serve data products, and helping HR and business leaders make data-driven workforce decisions using Snowflake, SQL, and advanced statistical methods.
Build and manage dbt data pipelines and dashboards for GTM, Finance, and Ops stakeholders. Partner with cross-functional leaders to deliver trusted, scalable analytics using SQL, Python, and AI tools.
Senior AI Engineer to design, build, and scale agentic AI systems using LLMs for compliance automation. Own end-to-end development of production LLM + retrieval + agent workflows with focus on responsible AI.
Drive the quality of Drata's AI systems through experimentation and applied research on RAG, agents, and information retrieval. Own evaluation frameworks and translate validated approaches into production with AI and Software Engineers.
Drive AI system quality through experimentation and applied research on RAG, agents, and retrieval systems for Drata's compliance platform. Own evaluation frameworks, prototype GenAI workflows, and collaborate with engineers to productionize validated approaches.
As a Senior AI Product Engineer, you will lead the full-stack development of customer-facing AI features, translating LLM capabilities into intuitive product experiences. You will partner with AI Engineers, Product, and Design to build streaming chat interfaces, agentic workflows, and intelligent automation.
Drata is seeking a Senior AI Product Engineer to lead full-stack development of customer-facing AI features. This role involves translating LLM capabilities into intuitive product experiences, partnering with AI Engineers, and advocating for user experience in technical decisions.
Drive quality of Drata's AI compliance systems through applied research, focusing on RAG optimization, evaluation frameworks, retrieval strategies, and experiment-driven improvements to document-heavy GenAI workflows.
Senior data engineer building scalable data products, models, and governance processes. Focus on automation, performance optimization, and enabling self-serve analytics for a fast-growing SaaS company.
Senior Data Scientist partnering with Product, Marketing, and CX to analyze customer behavior, design experiments, and build models that drive product and business decisions in a B2B SaaS environment.
Senior AI Engineer building internal AI-powered solutions end-to-end for GitLab's Sales, Marketing, and Support teams. Responsible for diagnosing problems, selecting models, designing agentic systems with guardrails, and shipping production solutions that improve organizational flow.
Build financial data models and pipelines with dbt and Snowflake to power analytics and decision-making. Partner with Finance and Product to deliver dashboards and semantic layers for key business metrics.
Senior C++ Software Engineer building multi-agent optimization, planning, and decision-making algorithms for defense autonomy and human-machine teaming across air, land, sea, and space domains. Requires 5+ years modern C++20, strong algorithmic foundations, and US SECRET clearance eligibility.
Conduct frontier AI research on LLMs, embedding models, and rerankers for RAG and semantic search. Requires PhD in CS or related field plus strong publication record in top ML venues.
Senior Software Engineer applying ML/AI techniques to fintech problems like fraud detection and user conversion. Requires 5+ years backend engineering (Java/JVM) and 2+ years deploying production ML models.
As a Machine Learning Researcher, you will design and evaluate datasets, tasks, and environments for advanced AI systems, focusing on RL and agentic systems. You will develop frameworks for data quality, benchmark model behavior, and build scalable evaluation tooling.
Jellyfish is seeking a Staff/Lead Data Architect to design, automate, and scale their next-generation data platform. This role involves maturing core data models, automating environment boundaries, and driving advanced observability and cost-attribution into the data pipeline architecture.
Jellyfish is seeking a Data Engineer to join their data platform team. This role involves building, automating, and maintaining data pipelines, translating architectural blueprints into production-grade pipelines, and ensuring high performance and data integrity.
Jellyfish is seeking a Senior Data Engineer to build, automate, and execute the next generation of their data platform. The role involves maintaining end-to-end data pipelines, modernizing orchestration, and automating data infrastructure.
As a Staff Engineer, you will lead the design and evolution of data, backend, and ML infrastructure systems for Spotify's Content Intelligence Product Area. You will build scalable infrastructure for multimodal content processing and drive architectural decisions across distributed systems and AI-enabled platform capabilities.
Lead a team of data scientists and analysts to conduct rigorous research into fraud patterns, adversarial networks, and emerging attack typologies. Translate complex findings into actionable insights for product, models, and strategy, and represent Socure externally as a thought leader in fraud and identity.
Design and implement scalable data infrastructure using Spark/Scala on AWS. Build data pipelines, knowledge graphs, and APIs to support a high-growth CTV advertising platform.
Build and optimize distributed LLM inference systems at scale using Ray, integrating with engines like vLLM to deliver high-throughput, low-latency batch and online inference solutions.
Research intern developing world-action foundation models for robotics and simulation, working on vision-physics integration, Gaussian splatting, and related areas for publication at top conferences.
Research intern supporting cutting-edge work in humanoid robotics, robotic simulation, RL training, and human data processing for next-generation physical AI systems. Requires current PhD or MSc studies in ML, computer vision/graphics, or robotics.
Research intern focused on reinforcement learning for autonomous driving and robotics. Current PhD or MSc student in ML, CV, or robotics conducting novel RL research and publishing at top-tier conferences.
Research intern role focused on reinforcement learning for robotics, particularly dexterous manipulation. Requires current PhD/MSc studies in ML, CV, or robotics.
Research intern developing 3D vision and generation models (foundation models, Gaussian splatting, multi-modal pretraining) for autonomous driving and robotics. Requires current PhD/MSc studies in ML, CV/graphics, or robotics.
Build, train, and deploy production ML models for underwriting and portfolio management at Stripe Capital. Requires 5+ years shipping ML systems with PyTorch/TensorFlow and experience in lending/fraud domains.
Senior Data Scientist building data-driven products and product analytics at Databricks. Works with PM, Sales, and CS stakeholders on usage forecasting and funnel analysis; mentors junior data scientists.
Lead biosignal algorithm development from requirements to production for medical devices, leveraging ML/DL, DSP, and statistics. Requires 4+ years industry experience bringing algorithms into production.
Senior Data Analyst responsible for developing business analyses, automating reporting, and providing decision support using large datasets. Requires strong SQL skills and 4-6 years of analytical experience.
Senior Data Analyst to own data models, ensure analytics quality, and deliver insights for a consumer fintech. Requires 5+ years analytics experience and 2-3 years in fintech with advanced SQL, dbt, Looker, and Python.
Design, train, and productionize ML models and pipelines for AI-enabled security/observability platforms. Requires 4+ years experience with Python, PyTorch/TensorFlow, and modern ML techniques.
Strategic Principal Product Analyst embedded in the Insurance product quad-pod to define success metrics, drive experimentation, build analytics infrastructure, and influence AI-powered product direction.
Lead analyst building analytical frameworks and standardized reporting for insurance operations. Owns business case development and serves as primary data consultant for department heads, translating complex insurance data into executive-ready strategic insights.
Build and deploy production-grade agentic AI systems and automation workflows that drive efficiency across sales, marketing, finance, and other business functions. Partner with stakeholders to identify high-impact use cases and deliver reliable, observable LLM-powered solutions.
Build ML models and decision systems for search, ranking, candidate-job matching, and marketplace optimization at a fast-growing AI talent platform.
Staff Analytics Engineer building and maintaining a scalable analytics layer powering strategic analytics, operations, and reporting at a healthcare marketplace.
Founding Data Lead building analytics from scratch at a stablecoin infrastructure startup. Own metrics, dashboards, and customer insights across onchain, product, and financial data.
As an AI Engineer, you will own the full AI engineering lifecycle, from design to optimization, for Snowflake Database Engineering products. You will build agentic workflows, coding harnesses, and evaluation pipelines, working with a high-powered engineering team.
Senior engineer building and operating AI/ML production infrastructure including MCP servers, agent orchestration, LLM workflows, and RAG systems. Requires 7+ years experience with 2+ years in AI/ML infrastructure.
Senior Applied Research Engineer driving AI system quality through experimentation and evaluation of RAG, retrieval, and reasoning systems. Requires 5+ years applied ML/NLP experience with strong Python and evaluation methodology skills.
Director-level ML leader to define vision and drive execution of Pinterest's foundational content and user understanding models powering homefeed, search, ads and more.
Lead end-to-end data science projects spanning growth experiments, repayment forecasting models, and data infrastructure. Build ML models, design metrics, and partner cross-functionally to expand responsible access to capital.
Senior Analytics Engineer designing data pipelines, building dashboards in Tableau/Looker, and delivering analytics solutions for healthcare clients. Requires 5+ years experience, strong SQL and data viz skills.
Conduct advanced SQL-based data analysis and build fraud rulesets to detect and mitigate complex transaction fraud across payments and e-commerce. Collaborate with product, data science, and operations teams to implement risk controls and reduce fraud losses.
Design, build, and maintain scalable data pipelines and AI infrastructure on AWS. Partner with engineering and product teams to deliver production-ready ETL/ELT systems, data platforms, and AI workflows.
Build dashboards, define metrics, and partner with AI/product teams to drive data-informed decisions on customer interactions and agent performance. Requires 3+ years experience, strong SQL/dbt skills, and warehouse experience.
Lead advanced analytics for host acquisition at Airbnb, driving data analysis, metric definition, experimentation, and strategic insights to support growth initiatives.
Senior People Data Scientist serving as an enterprise-wide analytics thought partner, owning complex analytical workstreams, designing self-serve data products, and helping HR and business leaders make data-driven workforce decisions using Snowflake, SQL, and advanced statistical methods.
Build and manage dbt data pipelines and dashboards for GTM, Finance, and Ops stakeholders. Partner with cross-functional leaders to deliver trusted, scalable analytics using SQL, Python, and AI tools.
Senior AI Engineer to design, build, and scale agentic AI systems using LLMs for compliance automation. Own end-to-end development of production LLM + retrieval + agent workflows with focus on responsible AI.
Drive the quality of Drata's AI systems through experimentation and applied research on RAG, agents, and information retrieval. Own evaluation frameworks and translate validated approaches into production with AI and Software Engineers.
Drive AI system quality through experimentation and applied research on RAG, agents, and retrieval systems for Drata's compliance platform. Own evaluation frameworks, prototype GenAI workflows, and collaborate with engineers to productionize validated approaches.
As a Senior AI Product Engineer, you will lead the full-stack development of customer-facing AI features, translating LLM capabilities into intuitive product experiences. You will partner with AI Engineers, Product, and Design to build streaming chat interfaces, agentic workflows, and intelligent automation.
Drata is seeking a Senior AI Product Engineer to lead full-stack development of customer-facing AI features. This role involves translating LLM capabilities into intuitive product experiences, partnering with AI Engineers, and advocating for user experience in technical decisions.
Drive quality of Drata's AI compliance systems through applied research, focusing on RAG optimization, evaluation frameworks, retrieval strategies, and experiment-driven improvements to document-heavy GenAI workflows.
Senior data engineer building scalable data products, models, and governance processes. Focus on automation, performance optimization, and enabling self-serve analytics for a fast-growing SaaS company.
Senior Data Scientist partnering with Product, Marketing, and CX to analyze customer behavior, design experiments, and build models that drive product and business decisions in a B2B SaaS environment.
Senior AI Engineer building internal AI-powered solutions end-to-end for GitLab's Sales, Marketing, and Support teams. Responsible for diagnosing problems, selecting models, designing agentic systems with guardrails, and shipping production solutions that improve organizational flow.
Build financial data models and pipelines with dbt and Snowflake to power analytics and decision-making. Partner with Finance and Product to deliver dashboards and semantic layers for key business metrics.
Senior C++ Software Engineer building multi-agent optimization, planning, and decision-making algorithms for defense autonomy and human-machine teaming across air, land, sea, and space domains. Requires 5+ years modern C++20, strong algorithmic foundations, and US SECRET clearance eligibility.