Perception engineer building robot training data pipelines: hand/body pose estimation, multi-camera calibration, SLAM, perception model training, and TensorRT/CUDA deployment on embedded platforms.
Staff-level engineer building and operating production ML inference systems, data pipelines, and backend services that deliver personalized health insights from physiological data at scale.
Senior Data Scientist building graph-based identity resolution systems for adtech. Requires 5+ years experience with large-scale data, Scala/Spark/SQL/Python, and graph algorithms.
Own ZoomInfo's PLG measurement framework, defining KPIs and leading analytics that shape product investments and growth strategy. Requires 8+ years in product/growth analytics with advanced SQL and Python.
Technical leader for Reddit's Notifications Relevance ML systems, driving large-scale recommendation systems spanning retrieval, ranking, budget optimization, and LLM-powered experiences.
Lead technical outcomes and mentor engineers on the Data Engineering Solutions team. Build and operate large-scale data pipelines, warehouses, and infrastructure using Airflow, Spark, Kafka, Flink, and related tools.
Build and scale data pipelines, models, and reporting systems that power OpenAI's infrastructure operations, capacity planning, and supply chain decisions.
Lead high-impact research on LLMs and agentic systems, driving post-training, reasoning, and evaluation to power enterprise AI deployments. Requires 7+ years ML research experience, PhD or equivalent, and strong publication record.
Own and extend customer data ingestion platform and large-scale pipelines powering AI workers. Build data lake, retrieval layer, and infrastructure for syncing, enriching, and querying customer data across CRMs and third-party systems.
Analyst role focused on transportation economics, supply chain strategy, and quantitative modeling to optimize network design, carrier strategy, and cost structure. Requires 3-6 years experience, strong SQL and BI skills, and the ability to translate data into actionable recommendations for senior leadership.
Develop and optimize GPU kernels and deep learning systems for LLM training and inference at Snowflake AI Research. Requires 5+ years in GPU/HPC optimization and strong proficiency in PyTorch, TensorFlow, JAX, and CUDA.
Conduct research on autonomous AI agents and reinforcement learning to build self-improving systems that reason, code, and learn at scale within the Snowflake Data Cloud. Requires a PhD (or equivalent) and strong expertise in RL and agentic AI.
Technical leader building agent infrastructure, observability, evals, and guardrails for production AI systems at Watershed. Requires 6+ years backend/platform/AI engineering experience and production TypeScript systems.
Build and scale ML infrastructure platform for autonomous vehicle development, focusing on automated resource provisioning, high-performance workload scheduling, and petabyte-scale data processing pipelines.
Build and scale ML infrastructure platform for autonomous vehicle model development, focusing on automated resource provisioning, high-performance workload scheduling, and petabyte-scale data processing pipelines.
Build and optimize ML infrastructure for autonomous vehicles, focusing on model optimization, compilers, and deployment across the autonomy stack. Requires 2+ years in ML optimization and strong Python/C++/CUDA skills.
Build and optimize ML infrastructure for autonomous vehicles, focusing on model optimization, compilers, and deployment of large models to Nuro's self-driving fleet. Requires 3+ years ML optimization experience and strong Python/C++/CUDA skills.
Senior Data Analyst driving customer insights and competitive intelligence strategy. Designs rigorous analyses translating customer feedback and market trends into product roadmap decisions. Partners with Product and Engineering leadership on data product strategy.
Data Engineer building and owning Sardine's internal data platform and warehouse. Integrates GTM, product, finance, and operational data sources via ETL pipelines; owns billing infrastructure, security, and KPIs to drive executive and revenue decisions. Requires 5+ years in data engineering/analytics with Python, SQL, modern data stack (BigQuery/dbt), and tools like Salesforce/HubSpot.
Build and optimize large-scale simulation and ML training pipelines on Ray and Kubernetes to validate autonomous vehicle behavior. Requires 8+ years experience and strong distributed systems background.
Build and own algorithmic systems that evaluate providers, make recommendations, and optimize healthcare outcomes for cost, quality, and access. Requires 3+ years shipping data-driven algorithms to production.
Lead data science strategy and architecture for scalable analytics and ML systems. Design data architectures, evaluate novel data sources, establish analytical methodologies, and bridge R&D to production.
Lead optimization research applying large-scale constrained optimization and ML to real-time trading decisions. Requires 5-10+ years experience, strong math/ML background, production coding skills, and PhD-level coursework.
Design, build, and deploy production ML systems for recommendations, search, ranking, and advertising at internet scale. Own the full ML lifecycle from modeling to monitoring with strong cross-functional collaboration.
Design and deploy end-to-end AI systems powering real products. Own the full intelligence stack including retrieval, agent orchestration, evals, and governance. Requires Python, LLM experience, and production AI system building.
Define and improve data architecture for GTM systems and enterprise CRM. Lead Salesforce data modeling, integrations, governance, and quality initiatives across the customer lifecycle.
Senior Data Scientist on the CX Analytics team owning revenue calibration models, causal inference experiments, and LLM-powered classification pipelines to connect customer support interactions to business outcomes.
Build and operate production ML systems and platform components for healthcare technology, partnering with ML and data science teams on model deployment, observability, and reliability.
Staff MLOps Engineer responsible for the reliability, performance, and cost-efficiency of production ML systems. Architect ML platform with feature stores, model registries, and automated CI/CD pipelines.
Staff-level ML Analytics role focused on fraud detection at Coinbase. Own feature engineering pipelines, define ML data strategy, and partner with MLEs to productionize models that detect account takeover and scam activity.
Senior or Staff Applied Research Software Engineer building AI/ML prototypes and production solutions. Requires 3-5+ years full-stack experience with modern web frameworks, databases, and strong AI-assisted coding skills.
Forward Deployed Data Scientist deploying NEXUS (Large Tabular Model) into customer production environments. Works end-to-end from data engineering and model benchmarking through last-mile integration and stakeholder communication.
Build and operate real-time data pipelines for market events with high reliability and low latency. Requires 5+ years building production data infrastructure, Python proficiency, and experience with Kafka/Flink/Kinesis on AWS or GCP.
Senior Data Engineer to own foundational data model, set standards for testing/documentation/alerting, build ingestion pipelines with dbt/Fivetran/Python, and architect governance for a regulated wealth management platform.
Design and build scalable ML ranking systems powering Reddit's personalized feeds, search, and recommendations at massive scale. Requires 5+ years building large-scale distributed ML systems.
Player-coach role leading a small AI engineering team building natural language analytics and reporting features. Hands-on coding plus management responsibilities for agents, evals, and data systems.
Senior Analytics Engineer focused on client deployments, building data pipelines, custom analyses, and dashboards to deliver value in the first 3-6 months post-launch. Requires 4-8 years experience and up to 25% travel.
Own analytics for User Operations at Harvey, building dashboards and reports on cSAT, TTR, QA, and AI-driven support metrics. Requires 3-5 years analytics experience with 2+ years in support ops, strong SQL, and dashboarding skills.
Research intern on the Model Shaping team working on post-training methods, efficient neural network training, and foundation model evaluation. Requires strong ML fundamentals and PyTorch/JAX experience.
Principal Software Engineer leading technical direction for Generative AI and Agentic systems at enterprise scale. Owns AI platform architecture, builds evaluation infrastructure, and drives model strategy across the organization.
Principal Data Engineer to architect and lead a scalable data platform serving analytics, reporting, and AI workloads from unified foundations. Requires 8+ years building production data pipelines with Snowflake, Kafka, Flink, and strong Python/Java/SQL skills.
Staff Data Scientist focused on product analytics, driving product strategy and optimization through data insights, A/B testing, ML, and analytics infrastructure for a SaaS platform.
Conduct optimization research and implement large-scale constrained optimization models that drive real-time trading decisions, working across the full research lifecycle from theory to production. Requires PhD-level coursework and strong applied research background in optimization.
Senior IC building and maintaining ML underwriting and credit decisioning models for Cash App Borrow and Afterpay. Owns full modeling lifecycle including experimentation, calibration, deployment, and monitoring.
Staff Data Analyst owning executive reporting, KPI dashboards, and deep-dive analyses on growth, revenue, and retention. Requires 7+ years experience, strong SQL, and direct senior stakeholder work.
Founding ML Engineer building production ML systems for governance, security, and agentic platform capabilities at Docker. Requires 5+ years applied ML experience shipping systems and 4+ years backend/infra engineering.
Senior BI Analyst driving product strategy through analytics, measurement, and insights for Product, Engineering, and Leadership teams. Owns KPI frameworks, product telemetry, experimentation analysis, and data storytelling to influence roadmap and business outcomes.
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.
Perception engineer building robot training data pipelines: hand/body pose estimation, multi-camera calibration, SLAM, perception model training, and TensorRT/CUDA deployment on embedded platforms.
Staff-level engineer building and operating production ML inference systems, data pipelines, and backend services that deliver personalized health insights from physiological data at scale.
Senior Data Scientist building graph-based identity resolution systems for adtech. Requires 5+ years experience with large-scale data, Scala/Spark/SQL/Python, and graph algorithms.
Own ZoomInfo's PLG measurement framework, defining KPIs and leading analytics that shape product investments and growth strategy. Requires 8+ years in product/growth analytics with advanced SQL and Python.
Technical leader for Reddit's Notifications Relevance ML systems, driving large-scale recommendation systems spanning retrieval, ranking, budget optimization, and LLM-powered experiences.
Lead technical outcomes and mentor engineers on the Data Engineering Solutions team. Build and operate large-scale data pipelines, warehouses, and infrastructure using Airflow, Spark, Kafka, Flink, and related tools.
Build and scale data pipelines, models, and reporting systems that power OpenAI's infrastructure operations, capacity planning, and supply chain decisions.
Lead high-impact research on LLMs and agentic systems, driving post-training, reasoning, and evaluation to power enterprise AI deployments. Requires 7+ years ML research experience, PhD or equivalent, and strong publication record.
Own and extend customer data ingestion platform and large-scale pipelines powering AI workers. Build data lake, retrieval layer, and infrastructure for syncing, enriching, and querying customer data across CRMs and third-party systems.
Analyst role focused on transportation economics, supply chain strategy, and quantitative modeling to optimize network design, carrier strategy, and cost structure. Requires 3-6 years experience, strong SQL and BI skills, and the ability to translate data into actionable recommendations for senior leadership.
Develop and optimize GPU kernels and deep learning systems for LLM training and inference at Snowflake AI Research. Requires 5+ years in GPU/HPC optimization and strong proficiency in PyTorch, TensorFlow, JAX, and CUDA.
Conduct research on autonomous AI agents and reinforcement learning to build self-improving systems that reason, code, and learn at scale within the Snowflake Data Cloud. Requires a PhD (or equivalent) and strong expertise in RL and agentic AI.
Technical leader building agent infrastructure, observability, evals, and guardrails for production AI systems at Watershed. Requires 6+ years backend/platform/AI engineering experience and production TypeScript systems.
Build and scale ML infrastructure platform for autonomous vehicle development, focusing on automated resource provisioning, high-performance workload scheduling, and petabyte-scale data processing pipelines.
Build and scale ML infrastructure platform for autonomous vehicle model development, focusing on automated resource provisioning, high-performance workload scheduling, and petabyte-scale data processing pipelines.
Build and optimize ML infrastructure for autonomous vehicles, focusing on model optimization, compilers, and deployment across the autonomy stack. Requires 2+ years in ML optimization and strong Python/C++/CUDA skills.
Build and optimize ML infrastructure for autonomous vehicles, focusing on model optimization, compilers, and deployment of large models to Nuro's self-driving fleet. Requires 3+ years ML optimization experience and strong Python/C++/CUDA skills.
Senior Data Analyst driving customer insights and competitive intelligence strategy. Designs rigorous analyses translating customer feedback and market trends into product roadmap decisions. Partners with Product and Engineering leadership on data product strategy.
Data Engineer building and owning Sardine's internal data platform and warehouse. Integrates GTM, product, finance, and operational data sources via ETL pipelines; owns billing infrastructure, security, and KPIs to drive executive and revenue decisions. Requires 5+ years in data engineering/analytics with Python, SQL, modern data stack (BigQuery/dbt), and tools like Salesforce/HubSpot.
Build and optimize large-scale simulation and ML training pipelines on Ray and Kubernetes to validate autonomous vehicle behavior. Requires 8+ years experience and strong distributed systems background.
Build and own algorithmic systems that evaluate providers, make recommendations, and optimize healthcare outcomes for cost, quality, and access. Requires 3+ years shipping data-driven algorithms to production.
Lead data science strategy and architecture for scalable analytics and ML systems. Design data architectures, evaluate novel data sources, establish analytical methodologies, and bridge R&D to production.
Lead optimization research applying large-scale constrained optimization and ML to real-time trading decisions. Requires 5-10+ years experience, strong math/ML background, production coding skills, and PhD-level coursework.
Design, build, and deploy production ML systems for recommendations, search, ranking, and advertising at internet scale. Own the full ML lifecycle from modeling to monitoring with strong cross-functional collaboration.
Design and deploy end-to-end AI systems powering real products. Own the full intelligence stack including retrieval, agent orchestration, evals, and governance. Requires Python, LLM experience, and production AI system building.
Define and improve data architecture for GTM systems and enterprise CRM. Lead Salesforce data modeling, integrations, governance, and quality initiatives across the customer lifecycle.
Senior Data Scientist on the CX Analytics team owning revenue calibration models, causal inference experiments, and LLM-powered classification pipelines to connect customer support interactions to business outcomes.
Build and operate production ML systems and platform components for healthcare technology, partnering with ML and data science teams on model deployment, observability, and reliability.
Staff MLOps Engineer responsible for the reliability, performance, and cost-efficiency of production ML systems. Architect ML platform with feature stores, model registries, and automated CI/CD pipelines.
Staff-level ML Analytics role focused on fraud detection at Coinbase. Own feature engineering pipelines, define ML data strategy, and partner with MLEs to productionize models that detect account takeover and scam activity.
Senior or Staff Applied Research Software Engineer building AI/ML prototypes and production solutions. Requires 3-5+ years full-stack experience with modern web frameworks, databases, and strong AI-assisted coding skills.
Forward Deployed Data Scientist deploying NEXUS (Large Tabular Model) into customer production environments. Works end-to-end from data engineering and model benchmarking through last-mile integration and stakeholder communication.
Build and operate real-time data pipelines for market events with high reliability and low latency. Requires 5+ years building production data infrastructure, Python proficiency, and experience with Kafka/Flink/Kinesis on AWS or GCP.
Senior Data Engineer to own foundational data model, set standards for testing/documentation/alerting, build ingestion pipelines with dbt/Fivetran/Python, and architect governance for a regulated wealth management platform.
Design and build scalable ML ranking systems powering Reddit's personalized feeds, search, and recommendations at massive scale. Requires 5+ years building large-scale distributed ML systems.
Player-coach role leading a small AI engineering team building natural language analytics and reporting features. Hands-on coding plus management responsibilities for agents, evals, and data systems.
Senior Analytics Engineer focused on client deployments, building data pipelines, custom analyses, and dashboards to deliver value in the first 3-6 months post-launch. Requires 4-8 years experience and up to 25% travel.
Own analytics for User Operations at Harvey, building dashboards and reports on cSAT, TTR, QA, and AI-driven support metrics. Requires 3-5 years analytics experience with 2+ years in support ops, strong SQL, and dashboarding skills.
Research intern on the Model Shaping team working on post-training methods, efficient neural network training, and foundation model evaluation. Requires strong ML fundamentals and PyTorch/JAX experience.
Principal Software Engineer leading technical direction for Generative AI and Agentic systems at enterprise scale. Owns AI platform architecture, builds evaluation infrastructure, and drives model strategy across the organization.
Principal Data Engineer to architect and lead a scalable data platform serving analytics, reporting, and AI workloads from unified foundations. Requires 8+ years building production data pipelines with Snowflake, Kafka, Flink, and strong Python/Java/SQL skills.
Staff Data Scientist focused on product analytics, driving product strategy and optimization through data insights, A/B testing, ML, and analytics infrastructure for a SaaS platform.
Conduct optimization research and implement large-scale constrained optimization models that drive real-time trading decisions, working across the full research lifecycle from theory to production. Requires PhD-level coursework and strong applied research background in optimization.
Senior IC building and maintaining ML underwriting and credit decisioning models for Cash App Borrow and Afterpay. Owns full modeling lifecycle including experimentation, calibration, deployment, and monitoring.
Staff Data Analyst owning executive reporting, KPI dashboards, and deep-dive analyses on growth, revenue, and retention. Requires 7+ years experience, strong SQL, and direct senior stakeholder work.
Founding ML Engineer building production ML systems for governance, security, and agentic platform capabilities at Docker. Requires 5+ years applied ML experience shipping systems and 4+ years backend/infra engineering.
Senior BI Analyst driving product strategy through analytics, measurement, and insights for Product, Engineering, and Leadership teams. Owns KPI frameworks, product telemetry, experimentation analysis, and data storytelling to influence roadmap and business outcomes.
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.