Staff ML Engineer owning end-to-end lifecycle for enterprise AI at Rippling: design novel architectures (LLMs, RAG, RLHF), build evaluation and self-improving systems, and ship production ML leveraging proprietary data graph. Requires 8+ years engineering with 5+ in ML.
Senior data scientist partnering with Stripe's Security organization to model, quantify, and mitigate security risks using telemetry, logs, and ML. Provide technical leadership, mentorship, and data-driven strategy for detection, access controls, and threat protection.
Senior Machine Learning Engineer building and productionizing scalable ML systems for personalized health metrics from wearable physiological data. Requires 4+ years experience deploying inference at scale, strong Python and backend skills, and collaboration with data scientists on health features.
Senior Fraud Analyst responsible for owning customer risk rating, KYC, and fraud monitoring models at Betterment. Uses data analytics and SQL to design rules, monitor performance, reduce false positives, and partner cross-functionally with Data, Compliance, Product, and Engineering to mitigate emerging fraud threats while balancing customer experience.
Senior Research Data Analyst responsible for designing and implementing SQL data pipelines and R statistical analyses on large-scale real-world healthcare data to support HEOR and RWE observational research studies. Requires MS in a quantitative field, 5+ years SQL experience, and proficiency in statistical programming.
Own end-to-end data migrations for government agencies switching to GovWell's AI platform. Clean messy legacy data (SQL/Python), lead customer calls with non-technical staff, ensure high-quality production data, and drive process improvements.
Senior Data Analyst uncovering retention/growth drivers through exploratory analysis of player behavior and large-scale A/B tests. Requires 6+ years analytics experience, BigQuery/Python proficiency, strong communication, and mentoring skills in a fully remote environment.
Engineer optimizing RL inference stack for workloads from ablations to production training. Requires experience with large-scale distributed systems, LLM inference, and proficiency in Python/C++/Rust with PyTorch/JAX/CUDA.
Build and scale research infrastructure and distributed systems at Anthropic to accelerate ML research workflows. Independently lead complex multi-month projects, drive cross-org alignment, and partner with researchers in a fast-evolving, ambiguous environment.
AI Builder Intern supporting Global Customer Services by designing, developing, and deploying AI prototypes (LLMs, RAG) to automate workflows, integrate via APIs, and structure post-sales data. Requires CS/related degree pursuit, basic programming, AI experience, and strong communication skills.
Build and maintain scalable cloud-native AI/ML infrastructure and MLOps pipelines on Databricks, AWS, and related tools. Requires 7+ years experience, expert Python/TypeScript skills, and production MLFlow/AWS expertise to support reliable AI model deployment and RAG use cases.
Senior Applied AI/ML Engineer responsible for designing, developing, training, and deploying AI/ML products focused on life sciences and drug discovery acceleration. Requires advanced degree, 10+ years AI/ML experience (or 5+ in regulated life sciences), end-to-end product ownership, and expertise in RL, fine-tuning, or LLM agents.
Conduct hands-on post-training research on LLMs including RL, distillation, and routing models. Collaborate with customers, labs, and engineering to turn techniques into production products and shape the research agenda. Requires proven research background in post-training LLMs and ability to ship impactful work.
Member of Technical Staff conducting hands-on LLM inference research at Modal. Own end-to-end bets on techniques like speculative decoding, quantization, KV-cache management, and disaggregation to improve cost per token and tail latency on production workloads. Requires strong LLM serving stack expertise and a track record shipping research or systems.
Build and operate a scalable logging and audit log platform at Cloudflare, developing high-performance data connectors, integrations, and pipelines for secure, low-latency delivery to customer destinations. Requires 3+ years in distributed systems and data pipelines, strong Go (preferred) and observability skills.
Build and optimize scalable distributed systems, high-throughput data delivery platforms, large-scale databases, and customer-facing APIs for Cloudflare's data organization. Requires 3+ years experience with distributed systems, databases, and strong programming skills (Golang preferred).
Build and scale Cloudflare's analytical database platform powered by ClickHouse. Develop platform components, add clusters, optimize performance, troubleshoot issues, and contribute to the open-source ClickHouse community. Requires 3+ years in distributed systems/databases, strong CS fundamentals, and programming skills (Golang/Python/C++ preferred).
Research Engineer developing novel evaluation frameworks and training strategies for AI systems in life sciences and biology. Requires experience training/evaluating LLMs, Python/ML proficiency, and data pipeline expertise; biology background preferred but not required.
Senior Data Science Engineer building and maintaining healthcare data infrastructure, models, and pipelines on the Spines team. Requires 4+ years Python/SQL experience, strong data architecture skills, and an entrepreneurial mindset for scalable analytics solutions.
Research Engineer implementing novel ML models for clinical AI, focusing on self-supervised learning, survival analysis, multi-modal data, causality, and interpretability to predict patient outcomes in precision medicine. Requires strong Python/PyTorch skills, deep learning experience, and statistics foundations; publications are a plus.
Design, implement, and evaluate novel ML models for computational pathology to predict patient outcomes. Requires PhD in ML, computer vision or statistics, strong publication record, and expertise in PyTorch.
Design, implement, and evaluate novel self-supervised foundation models for clinical multi-modal data and precision medicine. Requires PhD in ML/statistics, strong publication record in top venues, and expertise in PyTorch/deep learning.
Member of Technical Staff generating clinical insights from multi-modal AI models for precision medicine in oncology. Requires MD/PhD, lead authorship on high-impact papers, ML knowledge, and Python skills.
Senior Analytics Engineer owning the semantic layer, dbt pipelines, and dimensional models that power Fieldguide Insights analytics product for audit and advisory firms. Requires 4+ years modern data stack experience with advanced SQL, dbt, Python, BigQuery, and Kimball modeling.
Senior Data Engineer owning end-to-end data systems at Supabase, from ingestion and modeling in BigQuery/dbt to analysis in Hex. Requires 5+ years in production data pipelines, strong GCP/SQL skills, AI-first approach, and ability to partner directly with growth, finance, and product teams.
Part-time student role supporting AI validation and benchmarking for autonomous vehicle systems. Responsibilities include running benchmark pipelines, building ground truth datasets, developing evaluation metrics, analyzing failures, and automating tooling. Requires current enrollment in CS/Engineering program, 20+ hrs/week on-site, and familiarity with Python and ML evaluation concepts.
Develop and improve frameworks for estimating long-term causal impact of product changes at Airbnb, connecting short-term metrics to long-term outcomes using advanced causal inference methods. Requires advanced quantitative degree and 6-8+ years in experimentation/causal inference.
Staff Data Engineer building and modernizing scalable data pipelines, ETL infrastructure, and financial data warehouse for Reddit's Corporate Engineering team. Requires 7+ years experience with enterprise data integrations, AWS S3, SOX compliance, and financial systems.
Intern role supporting Cloudflare's Professional Services team by designing and deploying AI-driven prototypes (LLMs, RAG) to automate project workflows, resource planning, and forecasting. Requires current enrollment in a Bachelor's or Master's program with AI focus; full-time 12-week Fall internship.
Senior Data Engineer on the Risk or Compliance team building data models, pipelines, monitoring, and AI agents to support financial crimes detection, risk decisions, and ML datasets across Cash App, Square, and Afterpay. Requires 8+ years experience, strong SQL/Python/DBT skills, and full lifecycle data engineering expertise.
Lead Software Engineer architecting and implementing Model Predictive Control (MPC) systems and vehicle dynamics models for autonomous vehicles. 80% hands-on C++ development and optimization with 20% technical leadership and mentoring of a small controls team. Requires 6+ years experience, deep MPC/optimization expertise, and strong individual contribution.
Own the semantic layer by building and maintaining core dbt data models that serve as the single source of truth for business metrics, dashboards, and reverse ETL pipelines in a HIPAA-compliant environment. First analytics hire at a fast-growing AI-native healthcare company.
Build and scale Astronomer's AI-powered global context layer for data, focusing on semantic search, retrieval, code generation, and applied AI for data engineering workflows. Requires 5+ years software engineering experience with Python or Go, plus strong interest in LLMs and data tools.
Software Engineer on the Datastore team building and scaling backend data infrastructure, event-driven pipelines, data models, and APIs for brain EEG data to support scientific and clinical analytics. Requires 5+ years backend experience with strong data engineering focus.
Lead the architecture and development of a scalable, unified AI/ML platform supporting traditional ML models, LLMs, generative AI, and multi-agent systems. Requires deep expertise in ML engineering, LLMOps, agentic frameworks, Python, cloud infrastructure, and technical leadership.
Research Scientist developing novel diffusion models and generative algorithms for Large Tabular Models (LTMs) on enterprise data. Requires PhD and strong track record in generative ML; experience with diffusion models and PyTorch/JAX preferred.
Senior ML Engineer on Airbnb's Relevance and Personalization team building end-to-end ranking algorithms, models, and infrastructure for search, recommendations, and marketplace optimization using large-scale structured and unstructured data.
Sr. Marketing Analyst who owns the marketing analytics stack, builds attribution and predictive models, leads cross-functional projects, and serves as a strategic partner to marketing leaders by delivering actionable insights and data governance. Requires 6-8 years quantitative analytics experience including people management, expert SQL and data modeling, and B2B marketing analytics proficiency.
Senior Backend Engineer building and operating distributed data infrastructure for streaming, batch processing, analytical stores, and warehouse exports at scale. Requires 6+ years backend experience with data pipelines, distributed systems, and production ownership (on-call).
Lead data engineering and analytics engineering teams to design and own ETL/ELT pipelines, data modeling, quality, and governance. Requires 10+ years data engineering experience including 4+ years managing teams, deep expertise in SQL/Python/modern data stack, and partnering with DS/Product/Eng.
Partner with Operations, Demand Planning, Supply Chain, and Finance teams to provide analytics for S&OP processes, demand planning, inventory decisions, and logistics optimization. Requires 2+ years analytical experience, strong SQL skills, and ability to translate data into actionable insights.
Lead the marketing data stack and analytics for Grafana Labs as a builder-practitioner at the intersection of data science, GTM strategy, and AI. Architect BigQuery schemas, predictive/ML models, agentic AI systems, and dual-track forecasting frameworks to drive demand generation, ROI, and executive decision-making in a high-growth SaaS/PLG environment.
Staff Data Scientist building agentic AI and optimization solutions to improve care operations and marketplace matching at Honor (Home Instead). Requires 7+ years experience, strong ML foundations, and deep expertise in either Agentic AI systems or optimization algorithms.
Lead marketing analytics to optimize paid and organic campaigns across Meta, Google, SEO, and social. Own data pipelines, dashboards, attribution, A/B testing, and predictive modeling with SQL/Python to drive growth strategy at a high-growth fintech startup.
Game Operations Analyst responsible for identifying game vulnerabilities and member abuse patterns, profiling escalated accounts, analyzing rulesets, and partnering with analytics to optimize trading methods for better member experience and revenue in daily fantasy sports.
Develop and integrate real-time sensor perception and fusion algorithms for autonomous vehicles across land, air, sea, and space domains. Requires MS/PhD or 5+ years experience with multi-modal sensors (EO/IR/radar), ML deployment, and Linux/Docker; US citizenship and security clearance eligibility mandatory.
Data Analyst responsible for analyzing complex datasets from manufacturing clients to generate actionable insights and business recommendations. Supports text/document annotation for NLP/LLM models; requires 2-3 years experience, strong SQL/Python/Excel skills, and a bachelor's in a technical field.
Senior AI Engineer owning end-to-end LLM-driven agent systems for business data enrichment, web presence verification, entity linking, and risk scoring at Baselayer. Requires production LLM agents experience, async Python, browser automation, and eval frameworks.
Drive data-informed decisions across Anthropic's commercial customer lifecycle by owning GTM metrics, causal inference experiments, statistical modeling, and actionable insights for acquisition, activation, expansion, and retention of a consumption-based AI platform.
Steward Roboflow's open-source Inference engine by building an agentic-driven contribution, review, CI/CD, and testing pipeline to enable daily releases from high-volume AI-generated PRs while maintaining quality. Own model integration, community enablement, documentation, and customer education for computer vision inference across cloud and edge.
Staff ML Engineer owning end-to-end lifecycle for enterprise AI at Rippling: design novel architectures (LLMs, RAG, RLHF), build evaluation and self-improving systems, and ship production ML leveraging proprietary data graph. Requires 8+ years engineering with 5+ in ML.
Senior data scientist partnering with Stripe's Security organization to model, quantify, and mitigate security risks using telemetry, logs, and ML. Provide technical leadership, mentorship, and data-driven strategy for detection, access controls, and threat protection.
Senior Machine Learning Engineer building and productionizing scalable ML systems for personalized health metrics from wearable physiological data. Requires 4+ years experience deploying inference at scale, strong Python and backend skills, and collaboration with data scientists on health features.
Senior Fraud Analyst responsible for owning customer risk rating, KYC, and fraud monitoring models at Betterment. Uses data analytics and SQL to design rules, monitor performance, reduce false positives, and partner cross-functionally with Data, Compliance, Product, and Engineering to mitigate emerging fraud threats while balancing customer experience.
Senior Research Data Analyst responsible for designing and implementing SQL data pipelines and R statistical analyses on large-scale real-world healthcare data to support HEOR and RWE observational research studies. Requires MS in a quantitative field, 5+ years SQL experience, and proficiency in statistical programming.
Own end-to-end data migrations for government agencies switching to GovWell's AI platform. Clean messy legacy data (SQL/Python), lead customer calls with non-technical staff, ensure high-quality production data, and drive process improvements.
Senior Data Analyst uncovering retention/growth drivers through exploratory analysis of player behavior and large-scale A/B tests. Requires 6+ years analytics experience, BigQuery/Python proficiency, strong communication, and mentoring skills in a fully remote environment.
Engineer optimizing RL inference stack for workloads from ablations to production training. Requires experience with large-scale distributed systems, LLM inference, and proficiency in Python/C++/Rust with PyTorch/JAX/CUDA.
Build and scale research infrastructure and distributed systems at Anthropic to accelerate ML research workflows. Independently lead complex multi-month projects, drive cross-org alignment, and partner with researchers in a fast-evolving, ambiguous environment.
AI Builder Intern supporting Global Customer Services by designing, developing, and deploying AI prototypes (LLMs, RAG) to automate workflows, integrate via APIs, and structure post-sales data. Requires CS/related degree pursuit, basic programming, AI experience, and strong communication skills.
Build and maintain scalable cloud-native AI/ML infrastructure and MLOps pipelines on Databricks, AWS, and related tools. Requires 7+ years experience, expert Python/TypeScript skills, and production MLFlow/AWS expertise to support reliable AI model deployment and RAG use cases.
Senior Applied AI/ML Engineer responsible for designing, developing, training, and deploying AI/ML products focused on life sciences and drug discovery acceleration. Requires advanced degree, 10+ years AI/ML experience (or 5+ in regulated life sciences), end-to-end product ownership, and expertise in RL, fine-tuning, or LLM agents.
Conduct hands-on post-training research on LLMs including RL, distillation, and routing models. Collaborate with customers, labs, and engineering to turn techniques into production products and shape the research agenda. Requires proven research background in post-training LLMs and ability to ship impactful work.
Member of Technical Staff conducting hands-on LLM inference research at Modal. Own end-to-end bets on techniques like speculative decoding, quantization, KV-cache management, and disaggregation to improve cost per token and tail latency on production workloads. Requires strong LLM serving stack expertise and a track record shipping research or systems.
Build and operate a scalable logging and audit log platform at Cloudflare, developing high-performance data connectors, integrations, and pipelines for secure, low-latency delivery to customer destinations. Requires 3+ years in distributed systems and data pipelines, strong Go (preferred) and observability skills.
Build and optimize scalable distributed systems, high-throughput data delivery platforms, large-scale databases, and customer-facing APIs for Cloudflare's data organization. Requires 3+ years experience with distributed systems, databases, and strong programming skills (Golang preferred).
Build and scale Cloudflare's analytical database platform powered by ClickHouse. Develop platform components, add clusters, optimize performance, troubleshoot issues, and contribute to the open-source ClickHouse community. Requires 3+ years in distributed systems/databases, strong CS fundamentals, and programming skills (Golang/Python/C++ preferred).
Research Engineer developing novel evaluation frameworks and training strategies for AI systems in life sciences and biology. Requires experience training/evaluating LLMs, Python/ML proficiency, and data pipeline expertise; biology background preferred but not required.
Senior Data Science Engineer building and maintaining healthcare data infrastructure, models, and pipelines on the Spines team. Requires 4+ years Python/SQL experience, strong data architecture skills, and an entrepreneurial mindset for scalable analytics solutions.
Research Engineer implementing novel ML models for clinical AI, focusing on self-supervised learning, survival analysis, multi-modal data, causality, and interpretability to predict patient outcomes in precision medicine. Requires strong Python/PyTorch skills, deep learning experience, and statistics foundations; publications are a plus.
Design, implement, and evaluate novel ML models for computational pathology to predict patient outcomes. Requires PhD in ML, computer vision or statistics, strong publication record, and expertise in PyTorch.
Design, implement, and evaluate novel self-supervised foundation models for clinical multi-modal data and precision medicine. Requires PhD in ML/statistics, strong publication record in top venues, and expertise in PyTorch/deep learning.
Member of Technical Staff generating clinical insights from multi-modal AI models for precision medicine in oncology. Requires MD/PhD, lead authorship on high-impact papers, ML knowledge, and Python skills.
Senior Analytics Engineer owning the semantic layer, dbt pipelines, and dimensional models that power Fieldguide Insights analytics product for audit and advisory firms. Requires 4+ years modern data stack experience with advanced SQL, dbt, Python, BigQuery, and Kimball modeling.
Senior Data Engineer owning end-to-end data systems at Supabase, from ingestion and modeling in BigQuery/dbt to analysis in Hex. Requires 5+ years in production data pipelines, strong GCP/SQL skills, AI-first approach, and ability to partner directly with growth, finance, and product teams.
Part-time student role supporting AI validation and benchmarking for autonomous vehicle systems. Responsibilities include running benchmark pipelines, building ground truth datasets, developing evaluation metrics, analyzing failures, and automating tooling. Requires current enrollment in CS/Engineering program, 20+ hrs/week on-site, and familiarity with Python and ML evaluation concepts.
Develop and improve frameworks for estimating long-term causal impact of product changes at Airbnb, connecting short-term metrics to long-term outcomes using advanced causal inference methods. Requires advanced quantitative degree and 6-8+ years in experimentation/causal inference.
Staff Data Engineer building and modernizing scalable data pipelines, ETL infrastructure, and financial data warehouse for Reddit's Corporate Engineering team. Requires 7+ years experience with enterprise data integrations, AWS S3, SOX compliance, and financial systems.
Intern role supporting Cloudflare's Professional Services team by designing and deploying AI-driven prototypes (LLMs, RAG) to automate project workflows, resource planning, and forecasting. Requires current enrollment in a Bachelor's or Master's program with AI focus; full-time 12-week Fall internship.
Senior Data Engineer on the Risk or Compliance team building data models, pipelines, monitoring, and AI agents to support financial crimes detection, risk decisions, and ML datasets across Cash App, Square, and Afterpay. Requires 8+ years experience, strong SQL/Python/DBT skills, and full lifecycle data engineering expertise.
Lead Software Engineer architecting and implementing Model Predictive Control (MPC) systems and vehicle dynamics models for autonomous vehicles. 80% hands-on C++ development and optimization with 20% technical leadership and mentoring of a small controls team. Requires 6+ years experience, deep MPC/optimization expertise, and strong individual contribution.
Own the semantic layer by building and maintaining core dbt data models that serve as the single source of truth for business metrics, dashboards, and reverse ETL pipelines in a HIPAA-compliant environment. First analytics hire at a fast-growing AI-native healthcare company.
Build and scale Astronomer's AI-powered global context layer for data, focusing on semantic search, retrieval, code generation, and applied AI for data engineering workflows. Requires 5+ years software engineering experience with Python or Go, plus strong interest in LLMs and data tools.
Software Engineer on the Datastore team building and scaling backend data infrastructure, event-driven pipelines, data models, and APIs for brain EEG data to support scientific and clinical analytics. Requires 5+ years backend experience with strong data engineering focus.
Lead the architecture and development of a scalable, unified AI/ML platform supporting traditional ML models, LLMs, generative AI, and multi-agent systems. Requires deep expertise in ML engineering, LLMOps, agentic frameworks, Python, cloud infrastructure, and technical leadership.
Research Scientist developing novel diffusion models and generative algorithms for Large Tabular Models (LTMs) on enterprise data. Requires PhD and strong track record in generative ML; experience with diffusion models and PyTorch/JAX preferred.
Senior ML Engineer on Airbnb's Relevance and Personalization team building end-to-end ranking algorithms, models, and infrastructure for search, recommendations, and marketplace optimization using large-scale structured and unstructured data.
Sr. Marketing Analyst who owns the marketing analytics stack, builds attribution and predictive models, leads cross-functional projects, and serves as a strategic partner to marketing leaders by delivering actionable insights and data governance. Requires 6-8 years quantitative analytics experience including people management, expert SQL and data modeling, and B2B marketing analytics proficiency.
Senior Backend Engineer building and operating distributed data infrastructure for streaming, batch processing, analytical stores, and warehouse exports at scale. Requires 6+ years backend experience with data pipelines, distributed systems, and production ownership (on-call).
Lead data engineering and analytics engineering teams to design and own ETL/ELT pipelines, data modeling, quality, and governance. Requires 10+ years data engineering experience including 4+ years managing teams, deep expertise in SQL/Python/modern data stack, and partnering with DS/Product/Eng.
Partner with Operations, Demand Planning, Supply Chain, and Finance teams to provide analytics for S&OP processes, demand planning, inventory decisions, and logistics optimization. Requires 2+ years analytical experience, strong SQL skills, and ability to translate data into actionable insights.
Lead the marketing data stack and analytics for Grafana Labs as a builder-practitioner at the intersection of data science, GTM strategy, and AI. Architect BigQuery schemas, predictive/ML models, agentic AI systems, and dual-track forecasting frameworks to drive demand generation, ROI, and executive decision-making in a high-growth SaaS/PLG environment.
Staff Data Scientist building agentic AI and optimization solutions to improve care operations and marketplace matching at Honor (Home Instead). Requires 7+ years experience, strong ML foundations, and deep expertise in either Agentic AI systems or optimization algorithms.
Lead marketing analytics to optimize paid and organic campaigns across Meta, Google, SEO, and social. Own data pipelines, dashboards, attribution, A/B testing, and predictive modeling with SQL/Python to drive growth strategy at a high-growth fintech startup.
Game Operations Analyst responsible for identifying game vulnerabilities and member abuse patterns, profiling escalated accounts, analyzing rulesets, and partnering with analytics to optimize trading methods for better member experience and revenue in daily fantasy sports.
Develop and integrate real-time sensor perception and fusion algorithms for autonomous vehicles across land, air, sea, and space domains. Requires MS/PhD or 5+ years experience with multi-modal sensors (EO/IR/radar), ML deployment, and Linux/Docker; US citizenship and security clearance eligibility mandatory.
Data Analyst responsible for analyzing complex datasets from manufacturing clients to generate actionable insights and business recommendations. Supports text/document annotation for NLP/LLM models; requires 2-3 years experience, strong SQL/Python/Excel skills, and a bachelor's in a technical field.
Senior AI Engineer owning end-to-end LLM-driven agent systems for business data enrichment, web presence verification, entity linking, and risk scoring at Baselayer. Requires production LLM agents experience, async Python, browser automation, and eval frameworks.
Drive data-informed decisions across Anthropic's commercial customer lifecycle by owning GTM metrics, causal inference experiments, statistical modeling, and actionable insights for acquisition, activation, expansion, and retention of a consumption-based AI platform.
Steward Roboflow's open-source Inference engine by building an agentic-driven contribution, review, CI/CD, and testing pipeline to enable daily releases from high-volume AI-generated PRs while maintaining quality. Own model integration, community enablement, documentation, and customer education for computer vision inference across cloud and edge.