Analyzes product data to generate insights, develops metrics and experiments, and collaborates with cross-functional teams to drive growth decisions at a crypto wallet company. Requires 7+ years experience, SQL mastery, and Python/R familiarity.
Leads market insights analysis for Lyft's top regions, identifying marketplace gaps and opportunities using data. Partners cross-functionally to develop and execute business and product strategies. Requires 3+ years in analytics/consulting, SQL proficiency, and strategic thinking.
Product Analyst supports financial modeling, revenue/margin insights, pricing strategy, and data-driven decisions at the intersection of product strategy and finance. Collaborates with Product, Engineering, and Sales using SQL and AI tools; ideal for early-career analysts with a bachelor's degree.
Builds semantic layers with dbt/SQL, agent tooling for autonomous data querying across Athena/Salesforce, and infrastructure for AI-driven insights on usage-based SaaS metrics. Requires 5+ years in data/AI engineering, SQL/Python mastery, and RAG/agentic systems experience.
Conducts ML research to advance LLMs and audio models for real-time voice AI agents, focusing on reasoning, latency, and conversational quality. Prototypes models, designs evaluations, and bridges research to production systems requiring strong PyTorch expertise and experimental mindset.
Conducts ML research on LLMs and audio models to enhance real-time voice agents' reasoning, latency, and conversational quality. Prototypes models, designs evaluations, and bridges research to production systems requiring strong PyTorch expertise and experimental mindset.
Owns mid-training for LLMs, optimizing data mixes, synthetic data pipelines, annealing schedules, and context extension to enhance reasoning, coding, and math capabilities for AI agents. Requires deep LLM pipeline expertise, hands-on large model training, and original research contributions.
Build simulation environments, tasks, and verifiers to train and evaluate long-horizon autonomous AI agents using reinforcement learning. Requires strong engineering fundamentals, high agency, and focus on robust systems.
AI Research Resident collaborates on research projects developing benchmarks and environments for long-horizon AI agents, identifying model failure modes, and training autonomous agents. Requires current MS/PhD enrollment, RL experience, systems engineering, and strong publications.
Conducts applied research on long-horizon autonomous AI agents, focusing on evaluation, post-training, environment design, and benchmarks to improve frontier models. Builds simulations, runs experiments, ships production code, and publishes findings.
Performs modeling, simulation, and operational analysis of AI-powered autonomous aircraft systems at component, system, mission, and campaign levels to evaluate effectiveness and survivability. Collaborates with engineering and DoD stakeholders; requires 9+ years experience and active Secret clearance.
Performs modeling, simulation, and operational analysis of AI-powered autonomous aircraft systems to evaluate performance, survivability, and mission impact in military scenarios. Requires 7+ years in defense/aerospace analysis, Bachelor's in STEM, and US security clearance.
Senior Software Engineer on the Data Platform team owns data infrastructure, builds scalable ETL/ELT pipelines, optimizes storage, and collaborates with product and data science teams. Requires 5+ years experience in data engineering with Python/Golang, Spark, AWS, and Kubernetes.
Designs datasets and evaluation frameworks for frontier AI models, collaborating with top labs to expose failure modes, refine RLHF/RLVR pipelines, and measure data impact on capabilities. Requires strong quantitative skills, familiarity with LLM training, and research experience up to master's level.
Design and run SFT/RL experiments to measure dataset impact on LLM performance, capabilities, and alignment. Collaborate with labs to provide evidence of improvements; requires strong LLM training knowledge and fast experimentation, ideally undergrad/master's research background.
Forward Deployed Research Scientist collaborates with frontier AI labs on data strategies, fine-tunes open-weight LLMs, runs ablation studies, and validates data impact for client projects. Requires MS/PhD in ML/NLP/CS, hands-on LLM fine-tuning, and fast-paced experimental rigor.
Builds and maintains data connectors, pipelines, and normalization services to acquire and validate identity attributes from various sources for the Identity Trust Graph. Requires 4+ years in OOP languages, containerized cloud systems like GCP/Kubernetes, and data integration experience.
Staff Data Engineer owns and evolves data platforms including warehouse architecture, pipelines, and modeling to enable scalable analytics and self-service insights. Requires 7+ years experience, advanced SQL/Python, and expertise with managed data warehouses like Snowflake.
Senior ML Engineer designs and drives responsible AI projects to mitigate bias in Pinterest's ML applications, including GenAI evaluations and fairness tooling. Requires 4+ years in large-scale ML production, expertise in transformers/LLMs, and Master's/PhD.
Owns end-to-end ML research initiatives developing novel architectures, training methods, and evaluation for clinical intelligence using longitudinal patient data. Requires strong ML foundation, PyTorch experience, and ability to drive ambiguous high-stakes problems to validated results.
Owns end-to-end production ML systems for clinical workflows, including training/fine-tuning LLMs for medical reasoning and question answering. Requires strong ML/software engineering, PyTorch experience, and ability to handle high-stakes ambiguity with real patient impact.
Develops quantitative tools and scalable Python pipelines for credit, market, and liquidity risk analysis at a digital asset firm. Requires 8+ years in quantitative finance, advanced degree, and expertise in stress testing and real-time risk monitoring.
Builds and maintains financial models, dashboards, and automated tools for Total Rewards data analysis, including compensation planning, benchmarking, and reporting using HCM platforms like Workday. Partners with HR, Finance, and IT on insights from sensitive datasets; 3-7 years experience required with advanced Excel proficiency.
Designs datasets, evaluation rubrics, and reward signals for RLHF/RLVR pipelines to expose model failure modes and improve frontier AI capabilities. Partners with AI labs; requires 1-4 YOE and passion for data-driven model behavior.
Senior Data Analyst architects and optimizes data-driven AML/fraud detection models, builds dashboards and reporting for compliance, and supports regulatory requirements using Python, SQL, and ML. Requires 7+ years experience in financial crime analytics and Master's in quantitative field.
Builds measurement, evaluation, and feedback infrastructure for AI agent quality. Designs datasets, pipelines, dashboards, and analysis tools to improve agent reliability, partnering with research and product teams. Requires strong data acumen and software engineering skills.
Founding Engineer builds knowledge engines, multimodal agents, voice AI, and codegen systems for complex physical product support. Owns end-to-end customer deployments in fast-paced startup environment.
Optimizes and deploys large-scale AI models (LLMs, VLMs) for real-time inference on power-constrained vehicle hardware. Requires expertise in quantization, TensorRT compilation, custom CUDA kernels, and production C++/Python for edge devices.
Build analytical frameworks and experiments to optimize user discovery, engagement with content/social features, and creator success on a music platform. Requires 5+ years in data science, SQL/Python proficiency, and strategic insight into content ecosystems.
Develops, optimizes, and deploys deep learning models for autonomous vehicles and robots, managing large datasets and training pipelines. Requires 3+ years experience with PyTorch/TensorFlow, Python, and expertise in computer vision or LLMs.
Develops and deploys deep learning models for motion planning and behavioral prediction in autonomous vehicles using petabytes of driving data. Requires strong Python, PyTorch/TensorFlow expertise, full ML lifecycle experience, and C++ for real-time inference.
Develops quantitative metrics (rule-based and ML-driven) to evaluate autonomous vehicle performance, safety, and comfort using real-world and simulated data. Analyzes large datasets with statistical methods, builds pipelines, and collaborates with engineering teams. Requires 2+ years experience in data science or metrics.
Fellows develop and optimize ML systems and performance infrastructure for AI models, focusing on scaling, efficiency, and reliability in a remote-friendly program.
Fellows conduct research and development in reinforcement learning to advance AI systems. Requires strong RL background and Python proficiency for collaborative program projects.
Fellows conduct research on AI safety, collaborating with Anthropic researchers to develop evaluation methods and alignment techniques. Requires strong interest in AI safety, CS/math background, and ML experience.
Senior Data Engineer builds and manages data pipelines, transforms telemetry into reliable datasets, ensures data quality, and evolves the platform on GCP. Requires 4+ years experience, SQL/Python proficiency, strong data modeling, and software engineering fundamentals.
Senior Data Engineer builds and manages data pipelines, transforms telemetry into reliable datasets, ensures data quality and governance on GCP. Requires 4+ years experience, SQL/Python proficiency, strong modeling skills.
Senior ML Engineer applies operations research, combinatorial optimization, and AI to solve logistics challenges like order batching, shopper routing, and real-time assignment. Requires master's/PhD in OR/Industrial Engineering, 3+ years ML experience with Python, SQL, and ML frameworks.
Leads architecture and strategy for data warehouse, analytics tools, and governance at massive scale. Requires 12+ years experience with data platforms like Spark/Trino and AI tools for productivity.
Builds and deploys production AI features like Notebook Agent for data science workflows, partnering with product teams on experiments, model fine-tuning, and infra. Requires senior AI/ML engineering experience with MLOps, Python/TS proficiency.
Builds and maintains enterprise DataOps platform using Kubernetes, cloud services, and data processing tools. Requires 7+ years experience, strong coding skills, and expertise in containerization, GCP/AWS/Azure, Kafka, and Airflow.
Leads a team of advanced analysts to build self-service analytics systems and data products for fraud detection, safety measurement, and privacy risk management at Airbnb. Requires 8+ years in analytics/risk, strong SQL/Python/ML skills, and experience owning large-scale data taxonomies.
Builds and optimizes production inference pipelines for large tabular models using Triton Inference Server. Requires 5+ years in ML infrastructure, expert Python skills, and deep knowledge of inference frameworks and optimization techniques.
Leads end-to-end ML initiatives for Reddit's consumer features like recommendations, search, and AI discovery. Requires 7+ years experience with deep learning frameworks, production ML systems, and expertise in Transformers, LLMs, or recommender systems.
Leads technical integration of AI agent solutions for clients, designs custom multi-agent workflows using Python, troubleshoots implementations, and optimizes production deployments. Requires Python expertise, AI/ML familiarity, and customer-facing technical experience.
Staff engineer owns architecture and delivery of open lakehouse foundation, data governance, and multi-engine compute strategy at Instacart. Requires 5+ years in data infrastructure with expertise in Iceberg, Trino, Spark, Kafka, and streaming systems.
Build and maintain financial data pipelines, models, and dashboards to support Finance and Accounting teams with compliant, scalable insights. Requires 5+ years in data analytics, strong SQL, Snowflake, dbt, and BI tools experience.
Leads algorithmic development for Instacart's ads optimization systems, including real-time bidding, budget pacing, and auction mechanics using constrained optimization and control theory. Requires MS/PhD, 8+ years experience deploying production systems at scale, and proficiency in Go/Java/C++/Python.
Designs and maintains benchmarks, evaluation systems, and failure analysis workflows for frontier LLMs, focusing on tool use, agentic behavior, and reasoning. Builds rubrics, scorers, and dashboards while collaborating with AI research teams in a fast-paced environment.
Develops and optimizes computer vision algorithms for aerial object detection and tracking in defense systems. Requires Master's/PhD, 2+ years experience in CV/deep learning, Python/C++/OpenCV/PyTorch expertise.
Analyzes product data to generate insights, develops metrics and experiments, and collaborates with cross-functional teams to drive growth decisions at a crypto wallet company. Requires 7+ years experience, SQL mastery, and Python/R familiarity.
Leads market insights analysis for Lyft's top regions, identifying marketplace gaps and opportunities using data. Partners cross-functionally to develop and execute business and product strategies. Requires 3+ years in analytics/consulting, SQL proficiency, and strategic thinking.
Product Analyst supports financial modeling, revenue/margin insights, pricing strategy, and data-driven decisions at the intersection of product strategy and finance. Collaborates with Product, Engineering, and Sales using SQL and AI tools; ideal for early-career analysts with a bachelor's degree.
Builds semantic layers with dbt/SQL, agent tooling for autonomous data querying across Athena/Salesforce, and infrastructure for AI-driven insights on usage-based SaaS metrics. Requires 5+ years in data/AI engineering, SQL/Python mastery, and RAG/agentic systems experience.
Conducts ML research to advance LLMs and audio models for real-time voice AI agents, focusing on reasoning, latency, and conversational quality. Prototypes models, designs evaluations, and bridges research to production systems requiring strong PyTorch expertise and experimental mindset.
Conducts ML research on LLMs and audio models to enhance real-time voice agents' reasoning, latency, and conversational quality. Prototypes models, designs evaluations, and bridges research to production systems requiring strong PyTorch expertise and experimental mindset.
Owns mid-training for LLMs, optimizing data mixes, synthetic data pipelines, annealing schedules, and context extension to enhance reasoning, coding, and math capabilities for AI agents. Requires deep LLM pipeline expertise, hands-on large model training, and original research contributions.
Build simulation environments, tasks, and verifiers to train and evaluate long-horizon autonomous AI agents using reinforcement learning. Requires strong engineering fundamentals, high agency, and focus on robust systems.
AI Research Resident collaborates on research projects developing benchmarks and environments for long-horizon AI agents, identifying model failure modes, and training autonomous agents. Requires current MS/PhD enrollment, RL experience, systems engineering, and strong publications.
Conducts applied research on long-horizon autonomous AI agents, focusing on evaluation, post-training, environment design, and benchmarks to improve frontier models. Builds simulations, runs experiments, ships production code, and publishes findings.
Performs modeling, simulation, and operational analysis of AI-powered autonomous aircraft systems at component, system, mission, and campaign levels to evaluate effectiveness and survivability. Collaborates with engineering and DoD stakeholders; requires 9+ years experience and active Secret clearance.
Performs modeling, simulation, and operational analysis of AI-powered autonomous aircraft systems to evaluate performance, survivability, and mission impact in military scenarios. Requires 7+ years in defense/aerospace analysis, Bachelor's in STEM, and US security clearance.
Senior Software Engineer on the Data Platform team owns data infrastructure, builds scalable ETL/ELT pipelines, optimizes storage, and collaborates with product and data science teams. Requires 5+ years experience in data engineering with Python/Golang, Spark, AWS, and Kubernetes.
Designs datasets and evaluation frameworks for frontier AI models, collaborating with top labs to expose failure modes, refine RLHF/RLVR pipelines, and measure data impact on capabilities. Requires strong quantitative skills, familiarity with LLM training, and research experience up to master's level.
Design and run SFT/RL experiments to measure dataset impact on LLM performance, capabilities, and alignment. Collaborate with labs to provide evidence of improvements; requires strong LLM training knowledge and fast experimentation, ideally undergrad/master's research background.
Forward Deployed Research Scientist collaborates with frontier AI labs on data strategies, fine-tunes open-weight LLMs, runs ablation studies, and validates data impact for client projects. Requires MS/PhD in ML/NLP/CS, hands-on LLM fine-tuning, and fast-paced experimental rigor.
Builds and maintains data connectors, pipelines, and normalization services to acquire and validate identity attributes from various sources for the Identity Trust Graph. Requires 4+ years in OOP languages, containerized cloud systems like GCP/Kubernetes, and data integration experience.
Staff Data Engineer owns and evolves data platforms including warehouse architecture, pipelines, and modeling to enable scalable analytics and self-service insights. Requires 7+ years experience, advanced SQL/Python, and expertise with managed data warehouses like Snowflake.
Senior ML Engineer designs and drives responsible AI projects to mitigate bias in Pinterest's ML applications, including GenAI evaluations and fairness tooling. Requires 4+ years in large-scale ML production, expertise in transformers/LLMs, and Master's/PhD.
Owns end-to-end ML research initiatives developing novel architectures, training methods, and evaluation for clinical intelligence using longitudinal patient data. Requires strong ML foundation, PyTorch experience, and ability to drive ambiguous high-stakes problems to validated results.
Owns end-to-end production ML systems for clinical workflows, including training/fine-tuning LLMs for medical reasoning and question answering. Requires strong ML/software engineering, PyTorch experience, and ability to handle high-stakes ambiguity with real patient impact.
Develops quantitative tools and scalable Python pipelines for credit, market, and liquidity risk analysis at a digital asset firm. Requires 8+ years in quantitative finance, advanced degree, and expertise in stress testing and real-time risk monitoring.
Builds and maintains financial models, dashboards, and automated tools for Total Rewards data analysis, including compensation planning, benchmarking, and reporting using HCM platforms like Workday. Partners with HR, Finance, and IT on insights from sensitive datasets; 3-7 years experience required with advanced Excel proficiency.
Designs datasets, evaluation rubrics, and reward signals for RLHF/RLVR pipelines to expose model failure modes and improve frontier AI capabilities. Partners with AI labs; requires 1-4 YOE and passion for data-driven model behavior.
Senior Data Analyst architects and optimizes data-driven AML/fraud detection models, builds dashboards and reporting for compliance, and supports regulatory requirements using Python, SQL, and ML. Requires 7+ years experience in financial crime analytics and Master's in quantitative field.
Builds measurement, evaluation, and feedback infrastructure for AI agent quality. Designs datasets, pipelines, dashboards, and analysis tools to improve agent reliability, partnering with research and product teams. Requires strong data acumen and software engineering skills.
Founding Engineer builds knowledge engines, multimodal agents, voice AI, and codegen systems for complex physical product support. Owns end-to-end customer deployments in fast-paced startup environment.
Optimizes and deploys large-scale AI models (LLMs, VLMs) for real-time inference on power-constrained vehicle hardware. Requires expertise in quantization, TensorRT compilation, custom CUDA kernels, and production C++/Python for edge devices.
Build analytical frameworks and experiments to optimize user discovery, engagement with content/social features, and creator success on a music platform. Requires 5+ years in data science, SQL/Python proficiency, and strategic insight into content ecosystems.
Develops, optimizes, and deploys deep learning models for autonomous vehicles and robots, managing large datasets and training pipelines. Requires 3+ years experience with PyTorch/TensorFlow, Python, and expertise in computer vision or LLMs.
Develops and deploys deep learning models for motion planning and behavioral prediction in autonomous vehicles using petabytes of driving data. Requires strong Python, PyTorch/TensorFlow expertise, full ML lifecycle experience, and C++ for real-time inference.
Develops quantitative metrics (rule-based and ML-driven) to evaluate autonomous vehicle performance, safety, and comfort using real-world and simulated data. Analyzes large datasets with statistical methods, builds pipelines, and collaborates with engineering teams. Requires 2+ years experience in data science or metrics.
Fellows develop and optimize ML systems and performance infrastructure for AI models, focusing on scaling, efficiency, and reliability in a remote-friendly program.
Fellows conduct research and development in reinforcement learning to advance AI systems. Requires strong RL background and Python proficiency for collaborative program projects.
Fellows conduct research on AI safety, collaborating with Anthropic researchers to develop evaluation methods and alignment techniques. Requires strong interest in AI safety, CS/math background, and ML experience.
Senior Data Engineer builds and manages data pipelines, transforms telemetry into reliable datasets, ensures data quality, and evolves the platform on GCP. Requires 4+ years experience, SQL/Python proficiency, strong data modeling, and software engineering fundamentals.
Senior Data Engineer builds and manages data pipelines, transforms telemetry into reliable datasets, ensures data quality and governance on GCP. Requires 4+ years experience, SQL/Python proficiency, strong modeling skills.
Senior ML Engineer applies operations research, combinatorial optimization, and AI to solve logistics challenges like order batching, shopper routing, and real-time assignment. Requires master's/PhD in OR/Industrial Engineering, 3+ years ML experience with Python, SQL, and ML frameworks.
Leads architecture and strategy for data warehouse, analytics tools, and governance at massive scale. Requires 12+ years experience with data platforms like Spark/Trino and AI tools for productivity.
Builds and deploys production AI features like Notebook Agent for data science workflows, partnering with product teams on experiments, model fine-tuning, and infra. Requires senior AI/ML engineering experience with MLOps, Python/TS proficiency.
Builds and maintains enterprise DataOps platform using Kubernetes, cloud services, and data processing tools. Requires 7+ years experience, strong coding skills, and expertise in containerization, GCP/AWS/Azure, Kafka, and Airflow.
Leads a team of advanced analysts to build self-service analytics systems and data products for fraud detection, safety measurement, and privacy risk management at Airbnb. Requires 8+ years in analytics/risk, strong SQL/Python/ML skills, and experience owning large-scale data taxonomies.
Builds and optimizes production inference pipelines for large tabular models using Triton Inference Server. Requires 5+ years in ML infrastructure, expert Python skills, and deep knowledge of inference frameworks and optimization techniques.
Leads end-to-end ML initiatives for Reddit's consumer features like recommendations, search, and AI discovery. Requires 7+ years experience with deep learning frameworks, production ML systems, and expertise in Transformers, LLMs, or recommender systems.
Leads technical integration of AI agent solutions for clients, designs custom multi-agent workflows using Python, troubleshoots implementations, and optimizes production deployments. Requires Python expertise, AI/ML familiarity, and customer-facing technical experience.
Staff engineer owns architecture and delivery of open lakehouse foundation, data governance, and multi-engine compute strategy at Instacart. Requires 5+ years in data infrastructure with expertise in Iceberg, Trino, Spark, Kafka, and streaming systems.
Build and maintain financial data pipelines, models, and dashboards to support Finance and Accounting teams with compliant, scalable insights. Requires 5+ years in data analytics, strong SQL, Snowflake, dbt, and BI tools experience.
Leads algorithmic development for Instacart's ads optimization systems, including real-time bidding, budget pacing, and auction mechanics using constrained optimization and control theory. Requires MS/PhD, 8+ years experience deploying production systems at scale, and proficiency in Go/Java/C++/Python.
Designs and maintains benchmarks, evaluation systems, and failure analysis workflows for frontier LLMs, focusing on tool use, agentic behavior, and reasoning. Builds rubrics, scorers, and dashboards while collaborating with AI research teams in a fast-paced environment.
Develops and optimizes computer vision algorithms for aerial object detection and tracking in defense systems. Requires Master's/PhD, 2+ years experience in CV/deep learning, Python/C++/OpenCV/PyTorch expertise.