Analyze, validate, and build tooling around robotics data from teleoperation, egocentric capture, and grippers. Build automated validation pipelines, data schemas, and visualization tools to ensure high-quality training data.
Research Engineer optimizing multimodal AI models (video, audio, language) for production using distillation, quantization, sparsification. Focus on latency, cost, quality tradeoffs for real-time generative avatar systems.
Own the policy framework and agent harness for an AI underwriting agent. Design configurable policies, build evals, and ship production LLM/agentic systems. Partner with ML engineers and product leadership on the agentic roadmap.
Software engineer building and maintaining scalable data movement infrastructure using Spark, Flink, and Airflow to support ML and analytics workloads processing 100B+ daily events.
Senior BI Analyst owns end-to-end analytical projects, building dbt models and OMNI dashboards in Snowflake to deliver actionable insights for finance, GTM, and customer success teams. Requires 5+ years experience, advanced SQL, dbt production experience, and strong stakeholder partnership skills.
Senior BI Engineer owns end-to-end data products, semantic layers, and dashboards that power decisions across Engineering, Product, Finance, Marketing, and Operations. Requires deep SQL and modern data stack expertise plus proven experience integrating AI tools into daily workflows.
Staff ML Engineer leading end-to-end identity verification ML systems including document authenticity, face matching, liveness detection, GNN-based identity graphs, and behavioral risk models. Requires 8+ years production ML experience and domain expertise in biometrics or fraud detection.
Technical lead for the shared, accelerator-agnostic inference runtime serving Claude. Owns architecture, performance, and validation for GPU/TPU/Trainium platforms in a high-scale distributed systems environment.
Design, build, and maintain LLM integrations powering AI features. Own end-to-end delivery from requirements through production monitoring with focus on scalability and reliability.
Staff-level technical lead and architect for Haus's data ingestion and normalization platform. Owns schema evolution, data contracts, DQ, lineage, and observability in a GCP/BigQuery/dbt stack. Partners with DS and Product; mentors senior engineers.
Finance Data Scientist building data models, reporting systems, and forecasts to support financial reporting, strategic decision-making, and investor communications at a public SaaS company.
Own ML systems for send-time optimization, propensity modeling, and nudge decisions at consumer scale. Set experimentation standards and mentor a small ML team.
Staff-level Data Infrastructure Engineer to architect and evolve the data platform (Snowflake, ingestion, orchestration, CI/CD, AWS infra) serving analytics, product, and ML teams. Requires 10+ years building scalable data platforms and proven technical leadership.
Founding Staff ML Engineer building production ML systems for governance, security, and agentic platform capabilities at Docker. Owns architecture, data pipelines, evaluation, and model lifecycle while mentoring the growing team.
Lead and scale Headway's data engineering team, owning architecture for data warehouse, pipelines, dbt transformations, and orchestration to power analytics, ML, and operations. Requires 8+ years data engineering experience and 3+ years managing teams.
Intern developing and optimizing GPU-accelerated kernels for ML/AI applications. Requires strong GPU programming background (CUDA/Triton) and knowledge of performance optimization.
Research intern on the Inference team building efficient serving systems for large foundation models. Focus on distributed inference, compiler-aware optimization, and novel inference-time strategies.
Research intern on the Agents team building and aligning frontier AI systems for complex agentic and scientific tasks. Focus on post-training methods, evaluation frameworks, self-learning, and scalable agent infrastructure.
Principal Engineer setting technical vision and building AI/ML infrastructure for Generative AI and Recommender Systems at Pinterest, scaling to hundreds of millions of inferences per second. Requires deep expertise in distributed systems and proven cross-org technical leadership.
Own evaluation science and post-training methodology for Reddit's foundational LLMs. Define benchmarks, design model-as-a-judge systems, and set SFT recipes that turn base models into safe, Reddit-native endpoints.
Partner with cross-functional teams to translate business questions into analytical outputs. Build and maintain data models in SQL and dbt, create dashboards in Metabase, and use Python for deeper analysis.
Build and deploy production ML solutions for strategic customers, identifying gaps through direct engagement and implementing adaptive systems that evolve with real-world use. Requires 4+ years ML experience and 2+ years customer-facing technical work.
Serve as analytical lead for grocery retail partners, translating data into actionable strategies and business cases. Requires 3+ years in quantitative strategy, strong SQL/Excel skills, and polished stakeholder communication.
8-month modelling residency embedded in production and research projects, focusing on adaptive algorithms, real-time learning, model efficiency, and cross-stack optimization. Requires Python, deep learning frameworks, and ML optimization experience.
First Data Scientist supporting Brand Marketing at Figma. Build measurement frameworks, attribution models, and ML solutions to evaluate brand investments and drive marketing strategy.
Post-doctoral researcher conducting independent and collaborative AI/ML research focused on high-impact domains like medicine, finance, and law. Requires a recent or imminent PhD and publications in top venues.
Founding People Data Analytics Lead building workforce data infrastructure and analytics from scratch. Owns people data layer, metrics, dashboards, and AI-driven insights to drive strategic talent decisions.
Research Engineer advancing Claude's code generation capabilities through reinforcement learning. Design RL environments, build verifiers, run training experiments on frontier models, and improve training pipelines for real software engineering tasks.
3-month research fellowship for early-career researchers working on frontier Multimodal LLMs, generative modeling, and real-time audiovisual AI. Own a research problem in pretraining, post-training, RL, evaluation, or multimodal modeling. Strong PyTorch and first-author tier-1 paper required.
Staff ML Systems Engineer leading large-scale embedding and recommendation model architecture, distributed training, and real-time serving. Owns ML strategy and mentors engineers on personalization systems.
Senior Analytics Engineer building and governing semantic layers, data models, and BI assets in Snowflake, dbt, and Tableau to enable self-service analytics across Sales, Marketing, Product, and Operations.
Build and fine-tune vision-centric VLMs and generative models using Pinterest's visual-text datasets. Requires 2+ years industry computer vision experience and an M.S. or Ph.D.
Staff-level analytics leader partnering with CMO and product leadership to architect AI-driven analytics agents and drive growth strategy across product and marketing. Requires 7+ years hands-on analytics experience and strong technical skills in SQL, Python, and causal measurement.
Build and scale Snowflake's Cortex Training LLM post-training platform, handling distributed GPU scheduling, orchestration, and productionizing research for enterprise-scale model adaptation.
New/recent PhD to own RL and post-training for large-scale omni models. Build and scale the full RL/post-training stack including rollout, optimization, reward modeling, and evaluation for real-time audiovisual AI.
Early-career engineer optimizing inference for real-time multimodal AI avatars. Focus on KV cache strategies, serving frameworks, quantization, and latency reduction for LLMs and diffusion models.
Lead projects building and deploying large-scale ASR/NLP/LLM systems for meeting intelligence. Architect training, fine-tuning, and inference pipelines using PyTorch/JAX and own ML systems from research to production.
Insights Analyst driving analytics, experimentation, and AI automation improvements for Chime’s Trust & Safety, Fraud, and Dispute Operations teams. Requires 5+ years analytics experience, advanced SQL, Python/R, and strong statistical skills.
Hands-on technical leader building AI/ML-powered intelligence products and next-best-action systems for GTM and Technical Success teams. Defines metrics, models, and decision systems to drive customer adoption, expansion, and retention.
Lead analytics and experimentation for autonomous driving evaluation. Hands-on with statistical analysis, metrics definition, and pipeline automation while mentoring analysts and shaping team direction.
Staff ML Engineer setting technical direction for autonomous mineral refining using reinforcement learning and simulation. Owns modeling, validation, and deployment of control systems on live industrial equipment.
Build and deploy reinforcement learning models to autonomously control mineral refining facilities, optimizing recovery rates, energy use, and uptime in real operating plants.
Senior Data Engineer owning end-to-end data domains for industrial plant operations. Designs pipelines, schemas, and contracts from messy sensor/lab sources to support ML and operational decisions.
Lead and grow a data science & analytics team that partners with Product, Marketing, Sales, and CX to drive forecasting, experimentation, behavioral analytics, and measurement at a B2B SaaS company.
Lead multi-year vision and architecture for data governance and quality at scale. Define best practices, tooling, and culture while coaching senior engineers and influencing executive strategy on compliance and data integrity.
Lead applied AI research practice delivering client outcomes through benchmarking, data strategy, and RL environments. Drive revenue impact, scope engagements, and lead cross-functional teams of researchers and engineers.
Lead causal inference and marketing mix modeling efforts to measure and optimize marketing investments for Lyft's Growth Products team. Requires 4+ years experience, advanced degree, and expertise in Python, SQL, and causal methods.
Lead causal inference and marketing mix modeling efforts to measure and optimize marketing investments. Requires 4+ years experience, advanced degree, and expertise in Python, SQL, and production environments.
Lead causal inference and marketing mix modeling efforts to measure and optimize marketing investments. Requires 4+ years experience, advanced degree, and expertise in Python, SQL, and statistical pipelines.
Senior Analyst on the Product Analytics team driving data-informed product decisions through funnel analysis, A/B experimentation, and statistical modeling. Partners with PMs, engineers, and cross-functional stakeholders to quantify opportunities and influence product strategy.
Analyze, validate, and build tooling around robotics data from teleoperation, egocentric capture, and grippers. Build automated validation pipelines, data schemas, and visualization tools to ensure high-quality training data.
Research Engineer optimizing multimodal AI models (video, audio, language) for production using distillation, quantization, sparsification. Focus on latency, cost, quality tradeoffs for real-time generative avatar systems.
Own the policy framework and agent harness for an AI underwriting agent. Design configurable policies, build evals, and ship production LLM/agentic systems. Partner with ML engineers and product leadership on the agentic roadmap.
Software engineer building and maintaining scalable data movement infrastructure using Spark, Flink, and Airflow to support ML and analytics workloads processing 100B+ daily events.
Senior BI Analyst owns end-to-end analytical projects, building dbt models and OMNI dashboards in Snowflake to deliver actionable insights for finance, GTM, and customer success teams. Requires 5+ years experience, advanced SQL, dbt production experience, and strong stakeholder partnership skills.
Senior BI Engineer owns end-to-end data products, semantic layers, and dashboards that power decisions across Engineering, Product, Finance, Marketing, and Operations. Requires deep SQL and modern data stack expertise plus proven experience integrating AI tools into daily workflows.
Staff ML Engineer leading end-to-end identity verification ML systems including document authenticity, face matching, liveness detection, GNN-based identity graphs, and behavioral risk models. Requires 8+ years production ML experience and domain expertise in biometrics or fraud detection.
Technical lead for the shared, accelerator-agnostic inference runtime serving Claude. Owns architecture, performance, and validation for GPU/TPU/Trainium platforms in a high-scale distributed systems environment.
Design, build, and maintain LLM integrations powering AI features. Own end-to-end delivery from requirements through production monitoring with focus on scalability and reliability.
Staff-level technical lead and architect for Haus's data ingestion and normalization platform. Owns schema evolution, data contracts, DQ, lineage, and observability in a GCP/BigQuery/dbt stack. Partners with DS and Product; mentors senior engineers.
Finance Data Scientist building data models, reporting systems, and forecasts to support financial reporting, strategic decision-making, and investor communications at a public SaaS company.
Own ML systems for send-time optimization, propensity modeling, and nudge decisions at consumer scale. Set experimentation standards and mentor a small ML team.
Staff-level Data Infrastructure Engineer to architect and evolve the data platform (Snowflake, ingestion, orchestration, CI/CD, AWS infra) serving analytics, product, and ML teams. Requires 10+ years building scalable data platforms and proven technical leadership.
Founding Staff ML Engineer building production ML systems for governance, security, and agentic platform capabilities at Docker. Owns architecture, data pipelines, evaluation, and model lifecycle while mentoring the growing team.
Lead and scale Headway's data engineering team, owning architecture for data warehouse, pipelines, dbt transformations, and orchestration to power analytics, ML, and operations. Requires 8+ years data engineering experience and 3+ years managing teams.
Intern developing and optimizing GPU-accelerated kernels for ML/AI applications. Requires strong GPU programming background (CUDA/Triton) and knowledge of performance optimization.
Research intern on the Inference team building efficient serving systems for large foundation models. Focus on distributed inference, compiler-aware optimization, and novel inference-time strategies.
Research intern on the Agents team building and aligning frontier AI systems for complex agentic and scientific tasks. Focus on post-training methods, evaluation frameworks, self-learning, and scalable agent infrastructure.
Principal Engineer setting technical vision and building AI/ML infrastructure for Generative AI and Recommender Systems at Pinterest, scaling to hundreds of millions of inferences per second. Requires deep expertise in distributed systems and proven cross-org technical leadership.
Own evaluation science and post-training methodology for Reddit's foundational LLMs. Define benchmarks, design model-as-a-judge systems, and set SFT recipes that turn base models into safe, Reddit-native endpoints.
Partner with cross-functional teams to translate business questions into analytical outputs. Build and maintain data models in SQL and dbt, create dashboards in Metabase, and use Python for deeper analysis.
Build and deploy production ML solutions for strategic customers, identifying gaps through direct engagement and implementing adaptive systems that evolve with real-world use. Requires 4+ years ML experience and 2+ years customer-facing technical work.
Serve as analytical lead for grocery retail partners, translating data into actionable strategies and business cases. Requires 3+ years in quantitative strategy, strong SQL/Excel skills, and polished stakeholder communication.
8-month modelling residency embedded in production and research projects, focusing on adaptive algorithms, real-time learning, model efficiency, and cross-stack optimization. Requires Python, deep learning frameworks, and ML optimization experience.
First Data Scientist supporting Brand Marketing at Figma. Build measurement frameworks, attribution models, and ML solutions to evaluate brand investments and drive marketing strategy.
Post-doctoral researcher conducting independent and collaborative AI/ML research focused on high-impact domains like medicine, finance, and law. Requires a recent or imminent PhD and publications in top venues.
Founding People Data Analytics Lead building workforce data infrastructure and analytics from scratch. Owns people data layer, metrics, dashboards, and AI-driven insights to drive strategic talent decisions.
Research Engineer advancing Claude's code generation capabilities through reinforcement learning. Design RL environments, build verifiers, run training experiments on frontier models, and improve training pipelines for real software engineering tasks.
3-month research fellowship for early-career researchers working on frontier Multimodal LLMs, generative modeling, and real-time audiovisual AI. Own a research problem in pretraining, post-training, RL, evaluation, or multimodal modeling. Strong PyTorch and first-author tier-1 paper required.
Staff ML Systems Engineer leading large-scale embedding and recommendation model architecture, distributed training, and real-time serving. Owns ML strategy and mentors engineers on personalization systems.
Senior Analytics Engineer building and governing semantic layers, data models, and BI assets in Snowflake, dbt, and Tableau to enable self-service analytics across Sales, Marketing, Product, and Operations.
Build and fine-tune vision-centric VLMs and generative models using Pinterest's visual-text datasets. Requires 2+ years industry computer vision experience and an M.S. or Ph.D.
Staff-level analytics leader partnering with CMO and product leadership to architect AI-driven analytics agents and drive growth strategy across product and marketing. Requires 7+ years hands-on analytics experience and strong technical skills in SQL, Python, and causal measurement.
Build and scale Snowflake's Cortex Training LLM post-training platform, handling distributed GPU scheduling, orchestration, and productionizing research for enterprise-scale model adaptation.
New/recent PhD to own RL and post-training for large-scale omni models. Build and scale the full RL/post-training stack including rollout, optimization, reward modeling, and evaluation for real-time audiovisual AI.
Early-career engineer optimizing inference for real-time multimodal AI avatars. Focus on KV cache strategies, serving frameworks, quantization, and latency reduction for LLMs and diffusion models.
Lead projects building and deploying large-scale ASR/NLP/LLM systems for meeting intelligence. Architect training, fine-tuning, and inference pipelines using PyTorch/JAX and own ML systems from research to production.
Insights Analyst driving analytics, experimentation, and AI automation improvements for Chime’s Trust & Safety, Fraud, and Dispute Operations teams. Requires 5+ years analytics experience, advanced SQL, Python/R, and strong statistical skills.
Hands-on technical leader building AI/ML-powered intelligence products and next-best-action systems for GTM and Technical Success teams. Defines metrics, models, and decision systems to drive customer adoption, expansion, and retention.
Lead analytics and experimentation for autonomous driving evaluation. Hands-on with statistical analysis, metrics definition, and pipeline automation while mentoring analysts and shaping team direction.
Staff ML Engineer setting technical direction for autonomous mineral refining using reinforcement learning and simulation. Owns modeling, validation, and deployment of control systems on live industrial equipment.
Build and deploy reinforcement learning models to autonomously control mineral refining facilities, optimizing recovery rates, energy use, and uptime in real operating plants.
Senior Data Engineer owning end-to-end data domains for industrial plant operations. Designs pipelines, schemas, and contracts from messy sensor/lab sources to support ML and operational decisions.
Lead and grow a data science & analytics team that partners with Product, Marketing, Sales, and CX to drive forecasting, experimentation, behavioral analytics, and measurement at a B2B SaaS company.
Lead multi-year vision and architecture for data governance and quality at scale. Define best practices, tooling, and culture while coaching senior engineers and influencing executive strategy on compliance and data integrity.
Lead applied AI research practice delivering client outcomes through benchmarking, data strategy, and RL environments. Drive revenue impact, scope engagements, and lead cross-functional teams of researchers and engineers.
Lead causal inference and marketing mix modeling efforts to measure and optimize marketing investments for Lyft's Growth Products team. Requires 4+ years experience, advanced degree, and expertise in Python, SQL, and causal methods.
Lead causal inference and marketing mix modeling efforts to measure and optimize marketing investments. Requires 4+ years experience, advanced degree, and expertise in Python, SQL, and production environments.
Lead causal inference and marketing mix modeling efforts to measure and optimize marketing investments. Requires 4+ years experience, advanced degree, and expertise in Python, SQL, and statistical pipelines.
Senior Analyst on the Product Analytics team driving data-informed product decisions through funnel analysis, A/B experimentation, and statistical modeling. Partners with PMs, engineers, and cross-functional stakeholders to quantify opportunities and influence product strategy.