Staff Data Scientist on the Pay team building and productionizing ML/LLM models to detect erroneous healthcare claims payments. Owns end-to-end data science work, leads high-impact initiatives, and sets technical direction.
Leads research in multimodal audio-visual avatar generation for conversational AI, focusing on diffusion models, long-video synthesis, and integrating verbal/non-verbal signals. Requires PhD, 2-3+ years in generative models, PyTorch expertise, and top-tier publications.
Builds core agent harness for Codex AI agents, enabling safe tool use, code execution, and long-horizon tasks in production. Designs systems for sandboxing, evaluation, observability, and performance optimization across ML workflows and infrastructure.
Designs and deploys production agentic AI systems using LangGraph for automating KYB, underwriting, and risk decisions in fintech. Requires 5+ years engineering with 2+ years in production LLMs/agents, strong RAG/evals/MLOps, Python/TypeScript.
Owns AI foundation for generative AI in mental healthcare, architecting production-grade systems like RAG and agentic loops while ensuring technical excellence and safety in regulated environments. Requires 10+ years software engineering, AI/ML expertise, and cloud/distributed systems experience.
Builds and maintains petabyte-scale data storage infrastructure for AI training workloads. Requires 4+ years in data infrastructure, Python, Kubernetes, and distributed processing frameworks like Spark or Beam.
Leads team building analytics systems for Fraud & Safety operations at Airbnb, defining KPIs, dashboards, experimentation, and forecasting to optimize global enforcement workflows. Requires 8+ years analytics experience, strong SQL/Python, and cross-functional influence.
Analyzes large-scale connectome and neurophysiology datasets, develops computational models of neural circuits, and implements data pipelines using Python/Matlab. Ideal for students in computational neuroscience or related fields with data analysis experience.
Analyzes PLG and self-serve metrics for Twilio's SaaS platform, owning free-to-paid conversion, cohorting, and growth experiments. Translates business needs into technical solutions using SQL/Python and communicates insights to stakeholders.
Build and manage data pipelines and canonical datasets for experimentation platform, tracking product metrics like user growth and revenue. Collaborate with cross-functional teams at OpenAI; requires 3+ years data engineering experience with Spark, ETL tools, and distributed systems.
Leads technical strategy for analytics data infrastructure, owns metric definitions, builds curated datasets and data models using SQL/Python, implements quality monitoring, and collaborates cross-functionally. Requires 7+ years in analytics/data engineering.
Builds and maintains reliable data pipelines and infrastructure using SQL, Python, Airflow, and Redshift to support analytics for Risk, Marketing, Finance stakeholders. Leads projects, reviews code, and scales platform as business grows.
Leads the design, build, and operation of AI and data platform for autonomy systems, managing training, simulation, data pipelines, MLOps, and deployment across on-premise, cloud, and edge environments. Requires deep expertise in scalable ML infrastructure and compute strategy.
Provides expert advisory on AI model behavior in finance, legal, or medical domains, collaborates on research tasks and publications, and engages in executive sales and GTM activities. Requires 5+ years top-tier experience and advanced degree (PhD/Masters/MD/JD).
Leads end-to-end product analytics for AI and core features, defining KPIs, roadmaps, and dashboards to drive adoption, retention, and revenue. Partners with PMs and executives using SQL, visualization tools, and AI workflows; requires 8+ years experience.
Owns the data warehouse, semantic layer, and ingestion pipelines using Snowflake, dbt, and Looker. Architects reliable data models, integrates new sources, enables AI workflows, and sets company-wide metrics standards. Requires 5+ years in analytics/data engineering with strong SQL, dbt, and Python.
Staff Data Analyst drives risk data strategy at Stripe, defining metrics, pipelines, and experimentation frameworks while partnering cross-functionally. Requires 10+ years experience, SQL/Python expertise, and mentoring skills.
Research Engineer builds ML infrastructure and agentic systems to accelerate scientific discovery in biology, neuroscience, and more. Requires 2+ years experience with Python, PyTorch/JAX/TF, cloud resources, and deep learning for LLM/agent research at Ai2.
Designs ML-assisted sampling frameworks and statistical methods to measure unsafe content prevalence on Pinterest. Builds data pipelines and dashboards for Trust & Safety monitoring, partnering cross-functionally. Requires 5+ years data analysis experience, Python/SQL expertise.
Enriches supply chain intelligence platform data with industry insights, Chinese market knowledge, and risk information by curating company profiles, tracing ownership, and analyzing documents in English and Mandarin. Requires 2+ years in investigations or due diligence, fluency in Mandarin, and strong analytical skills.
Leads data analysis for pinner engagement and product adoption strategy at Pinterest. Designs experiments, builds dashboards, delivers insights using SQL/Python, A/B testing, and visualization tools. Requires 8+ years experience and graduate degree in quantitative field.
Builds, deploys, and maintains ML models to detect phishing, sensitive data, and threats in emails/drives. Requires 8+ years ML experience, strong data pipeline skills, and familiarity with LLMs/generative AI.
Leads evolution of OpenAI's core experimentation platform, driving statistical strategy, designing methodologies, and building scalable Python/Spark pipelines to ensure reliable, trustworthy experiments at massive scale. Requires deep stats expertise, causal inference, and production experimentation experience.
Leads technical architecture and cross-functional engineering pods to build scalable AI agent infrastructure for enterprise automation, enabling self-improving systems that power Rippling's AI surfaces. Requires 8+ years software engineering with platform expertise and hands-on AI experience preferred.
Designs and implements large-scale data warehouses and transformation pipelines using Snowflake, dbt, SQL, and Python. Partners cross-functionally to ensure data quality, accessibility, and impact; requires 5+ years experience.
Designs and owns data architecture, builds/optimizes pipelines and models using Python, SQL, Snowflake, dbt, and AWS. Manages SLAs, data governance, and mentors team; requires 5+ years experience and bachelor's in CS or related.
Designs, builds, and maintains LLM-based AI systems, data pipelines, and automation tools to transform business processes. Requires 6+ years software engineering with 2+ years AI/LLM production experience, strong Python, and data engineering skills.
Build and manage data pipelines for people analytics and internal products like OpenHouse at OpenAI's People Innovation Labs. Collaborate with analytics and engineering teams using Databricks, Spark, and ETL tools; requires 3+ years data engineering experience.
Partners with researchers to productionize ML models for quantitative trading, builds data pipelines and infrastructure, and leads projects requiring strong Python, math, and ML systems expertise.
Designs and implements scalable data models, pipelines, and lakehouse infrastructure using Snowflake and Clickhouse to support analytics, ML, and products. Requires 5+ years data engineering experience, SQL/Python expertise, and leadership in data governance.
Builds and optimizes large-scale data pipelines using Airflow, dbt, and Python on a ClickHouse-powered data warehouse. Designs reusable components, data models, and DataOps tooling while mentoring the team and ensuring platform reliability.
ML intern on the Machine Learning team developing and shipping production ML models and pipelines. Requires current enrollment in an M.Sc. or Ph.D. program and strong Python/PyTorch backend skills.
Build growth analytics infrastructure from scratch, analyze acquisition channels, model unit economics like CAC/LTV/ROAS, and run experiments to shape marketing strategy at a generative AI company. Requires 5+ years in growth analytics with advanced SQL/Python skills.
Builds and maintains ML training and inference infrastructure, scales distributed workloads across GPU clusters, and develops tooling for observability and fast iteration. Requires strong Python, systems engineering, Kubernetes, and distributed training experience.
Leads product analytics for membership pod by analyzing user journeys, running A/B tests, building dbt models and dashboards to influence product strategy and drive retention. Requires 7+ years in analytics/BI, SQL/Python proficiency, and strong product sense.
Develops ML models for threat detection, risk assessment, and anomaly detection using security graphs and telemetry data. Collaborates with product teams to integrate insights into cybersecurity platform features. Requires 5+ years in security data science with Python/ML expertise.
Builds evaluation pipelines, LLM judges, and observability tools to measure and improve AI assistant quality. Requires 2+ years software engineering with Go/Python, LLM eval experience, and analytical rigor for backend ML infrastructure.
As a Senior AI Engineer, you will develop and scale AI agent and chat capabilities, build infrastructure for real-time AI interactions, and prototype new AI applications. This role involves significant impact on product development within a cross-functional team.
Builds production ML systems including NLP models, search/recommendation algorithms, and LLM applications to help brands optimize content for AI-driven search. Requires 5+ years experience with NLP/search systems and end-to-end ML deployment expertise.
Leads spare parts demand forecasting, builds predictive models and dashboards using SQL/Python/R to ensure fleet uptime, identifies supply risks, and collaborates cross-functionally on inventory planning. Requires 5+ years in supply chain analytics and bachelor's degree.
Designs, builds, and scales AI platform infrastructure including agent orchestration, RAG, eval tooling, and model serving for internal teams. Requires 12+ years AI/ML experience, expertise in LLMs/NLP, Python proficiency, and ML frameworks like PyTorch.
Leads client analytics team delivering media measurement, performance insights, and optimization recommendations for healthcare advertising campaigns. Requires 8+ years in digital media analytics, 4+ years managing analysts, and expertise in SQL, Python, Tableau.
Builds, scales, and operates production-grade ML systems for real-time personalization on Attentive's platform. Requires 6+ years experience with Python, PyTorch/TensorFlow, and scalable ML pipelines in a fast-paced environment.
Leads cross-team data science initiatives architecting scalable ML systems for ad marketplace optimization, bidding strategies, and prediction at exchange scale. Requires PhD with 6+ years or MS/BS with 8+ years in ML, deep learning expertise, Python/SQL, and production ML experience.
Develops and optimizes large-scale simulation and ML training pipelines using Ray.io and Kubernetes to validate autonomous vehicle behaviors. Requires 6+ years experience optimizing distributed systems, Python proficiency, and AWS knowledge.
Develops and deploys ML models for credit underwriting in regulated banking, owning full stack from data curation to production decisioning. Leads MLOps initiatives and improves policies using advanced techniques for underserved segments. Requires 8+ YOE in ML production and technical degree.
Develops and curates large-scale test sets from driving logs to validate autonomous driving system performance. Requires Master's/PhD in data-related field, 3+ years experience, Python proficiency, and expertise in building test sets for statistical analysis.
Supports GTM strategy through data-driven insights, automating reports/dashboards on pipeline, conversions, and retention. Optimizes RevOps processes, ensures CRM data integrity, and advises Sales/Marketing/CS teams. Requires 1-3 YOE in RevOps/BI and proficiency in visualization tools.
Designs and runs experiments to improve oversight of increasingly capable AI models, including model training, evaluation, and deployment of practical systems. Analyzes failures and develops techniques to train more aligned models using oversight signals.
DeepLearning.AI is seeking an AI Engineer to join their Learning Experience Lab. This role involves developing new AI products and features for their education platform, leveraging expertise in software development and machine learning, and building full-stack applications using GenAI tools.
Staff Data Scientist on the Pay team building and productionizing ML/LLM models to detect erroneous healthcare claims payments. Owns end-to-end data science work, leads high-impact initiatives, and sets technical direction.
Leads research in multimodal audio-visual avatar generation for conversational AI, focusing on diffusion models, long-video synthesis, and integrating verbal/non-verbal signals. Requires PhD, 2-3+ years in generative models, PyTorch expertise, and top-tier publications.
Builds core agent harness for Codex AI agents, enabling safe tool use, code execution, and long-horizon tasks in production. Designs systems for sandboxing, evaluation, observability, and performance optimization across ML workflows and infrastructure.
Designs and deploys production agentic AI systems using LangGraph for automating KYB, underwriting, and risk decisions in fintech. Requires 5+ years engineering with 2+ years in production LLMs/agents, strong RAG/evals/MLOps, Python/TypeScript.
Owns AI foundation for generative AI in mental healthcare, architecting production-grade systems like RAG and agentic loops while ensuring technical excellence and safety in regulated environments. Requires 10+ years software engineering, AI/ML expertise, and cloud/distributed systems experience.
Builds and maintains petabyte-scale data storage infrastructure for AI training workloads. Requires 4+ years in data infrastructure, Python, Kubernetes, and distributed processing frameworks like Spark or Beam.
Leads team building analytics systems for Fraud & Safety operations at Airbnb, defining KPIs, dashboards, experimentation, and forecasting to optimize global enforcement workflows. Requires 8+ years analytics experience, strong SQL/Python, and cross-functional influence.
Analyzes large-scale connectome and neurophysiology datasets, develops computational models of neural circuits, and implements data pipelines using Python/Matlab. Ideal for students in computational neuroscience or related fields with data analysis experience.
Analyzes PLG and self-serve metrics for Twilio's SaaS platform, owning free-to-paid conversion, cohorting, and growth experiments. Translates business needs into technical solutions using SQL/Python and communicates insights to stakeholders.
Build and manage data pipelines and canonical datasets for experimentation platform, tracking product metrics like user growth and revenue. Collaborate with cross-functional teams at OpenAI; requires 3+ years data engineering experience with Spark, ETL tools, and distributed systems.
Leads technical strategy for analytics data infrastructure, owns metric definitions, builds curated datasets and data models using SQL/Python, implements quality monitoring, and collaborates cross-functionally. Requires 7+ years in analytics/data engineering.
Builds and maintains reliable data pipelines and infrastructure using SQL, Python, Airflow, and Redshift to support analytics for Risk, Marketing, Finance stakeholders. Leads projects, reviews code, and scales platform as business grows.
Leads the design, build, and operation of AI and data platform for autonomy systems, managing training, simulation, data pipelines, MLOps, and deployment across on-premise, cloud, and edge environments. Requires deep expertise in scalable ML infrastructure and compute strategy.
Provides expert advisory on AI model behavior in finance, legal, or medical domains, collaborates on research tasks and publications, and engages in executive sales and GTM activities. Requires 5+ years top-tier experience and advanced degree (PhD/Masters/MD/JD).
Leads end-to-end product analytics for AI and core features, defining KPIs, roadmaps, and dashboards to drive adoption, retention, and revenue. Partners with PMs and executives using SQL, visualization tools, and AI workflows; requires 8+ years experience.
Owns the data warehouse, semantic layer, and ingestion pipelines using Snowflake, dbt, and Looker. Architects reliable data models, integrates new sources, enables AI workflows, and sets company-wide metrics standards. Requires 5+ years in analytics/data engineering with strong SQL, dbt, and Python.
Staff Data Analyst drives risk data strategy at Stripe, defining metrics, pipelines, and experimentation frameworks while partnering cross-functionally. Requires 10+ years experience, SQL/Python expertise, and mentoring skills.
Research Engineer builds ML infrastructure and agentic systems to accelerate scientific discovery in biology, neuroscience, and more. Requires 2+ years experience with Python, PyTorch/JAX/TF, cloud resources, and deep learning for LLM/agent research at Ai2.
Designs ML-assisted sampling frameworks and statistical methods to measure unsafe content prevalence on Pinterest. Builds data pipelines and dashboards for Trust & Safety monitoring, partnering cross-functionally. Requires 5+ years data analysis experience, Python/SQL expertise.
Enriches supply chain intelligence platform data with industry insights, Chinese market knowledge, and risk information by curating company profiles, tracing ownership, and analyzing documents in English and Mandarin. Requires 2+ years in investigations or due diligence, fluency in Mandarin, and strong analytical skills.
Leads data analysis for pinner engagement and product adoption strategy at Pinterest. Designs experiments, builds dashboards, delivers insights using SQL/Python, A/B testing, and visualization tools. Requires 8+ years experience and graduate degree in quantitative field.
Builds, deploys, and maintains ML models to detect phishing, sensitive data, and threats in emails/drives. Requires 8+ years ML experience, strong data pipeline skills, and familiarity with LLMs/generative AI.
Leads evolution of OpenAI's core experimentation platform, driving statistical strategy, designing methodologies, and building scalable Python/Spark pipelines to ensure reliable, trustworthy experiments at massive scale. Requires deep stats expertise, causal inference, and production experimentation experience.
Leads technical architecture and cross-functional engineering pods to build scalable AI agent infrastructure for enterprise automation, enabling self-improving systems that power Rippling's AI surfaces. Requires 8+ years software engineering with platform expertise and hands-on AI experience preferred.
Designs and implements large-scale data warehouses and transformation pipelines using Snowflake, dbt, SQL, and Python. Partners cross-functionally to ensure data quality, accessibility, and impact; requires 5+ years experience.
Designs and owns data architecture, builds/optimizes pipelines and models using Python, SQL, Snowflake, dbt, and AWS. Manages SLAs, data governance, and mentors team; requires 5+ years experience and bachelor's in CS or related.
Designs, builds, and maintains LLM-based AI systems, data pipelines, and automation tools to transform business processes. Requires 6+ years software engineering with 2+ years AI/LLM production experience, strong Python, and data engineering skills.
Build and manage data pipelines for people analytics and internal products like OpenHouse at OpenAI's People Innovation Labs. Collaborate with analytics and engineering teams using Databricks, Spark, and ETL tools; requires 3+ years data engineering experience.
Partners with researchers to productionize ML models for quantitative trading, builds data pipelines and infrastructure, and leads projects requiring strong Python, math, and ML systems expertise.
Designs and implements scalable data models, pipelines, and lakehouse infrastructure using Snowflake and Clickhouse to support analytics, ML, and products. Requires 5+ years data engineering experience, SQL/Python expertise, and leadership in data governance.
Builds and optimizes large-scale data pipelines using Airflow, dbt, and Python on a ClickHouse-powered data warehouse. Designs reusable components, data models, and DataOps tooling while mentoring the team and ensuring platform reliability.
ML intern on the Machine Learning team developing and shipping production ML models and pipelines. Requires current enrollment in an M.Sc. or Ph.D. program and strong Python/PyTorch backend skills.
Build growth analytics infrastructure from scratch, analyze acquisition channels, model unit economics like CAC/LTV/ROAS, and run experiments to shape marketing strategy at a generative AI company. Requires 5+ years in growth analytics with advanced SQL/Python skills.
Builds and maintains ML training and inference infrastructure, scales distributed workloads across GPU clusters, and develops tooling for observability and fast iteration. Requires strong Python, systems engineering, Kubernetes, and distributed training experience.
Leads product analytics for membership pod by analyzing user journeys, running A/B tests, building dbt models and dashboards to influence product strategy and drive retention. Requires 7+ years in analytics/BI, SQL/Python proficiency, and strong product sense.
Develops ML models for threat detection, risk assessment, and anomaly detection using security graphs and telemetry data. Collaborates with product teams to integrate insights into cybersecurity platform features. Requires 5+ years in security data science with Python/ML expertise.
Builds evaluation pipelines, LLM judges, and observability tools to measure and improve AI assistant quality. Requires 2+ years software engineering with Go/Python, LLM eval experience, and analytical rigor for backend ML infrastructure.
As a Senior AI Engineer, you will develop and scale AI agent and chat capabilities, build infrastructure for real-time AI interactions, and prototype new AI applications. This role involves significant impact on product development within a cross-functional team.
Builds production ML systems including NLP models, search/recommendation algorithms, and LLM applications to help brands optimize content for AI-driven search. Requires 5+ years experience with NLP/search systems and end-to-end ML deployment expertise.
Leads spare parts demand forecasting, builds predictive models and dashboards using SQL/Python/R to ensure fleet uptime, identifies supply risks, and collaborates cross-functionally on inventory planning. Requires 5+ years in supply chain analytics and bachelor's degree.
Designs, builds, and scales AI platform infrastructure including agent orchestration, RAG, eval tooling, and model serving for internal teams. Requires 12+ years AI/ML experience, expertise in LLMs/NLP, Python proficiency, and ML frameworks like PyTorch.
Leads client analytics team delivering media measurement, performance insights, and optimization recommendations for healthcare advertising campaigns. Requires 8+ years in digital media analytics, 4+ years managing analysts, and expertise in SQL, Python, Tableau.
Builds, scales, and operates production-grade ML systems for real-time personalization on Attentive's platform. Requires 6+ years experience with Python, PyTorch/TensorFlow, and scalable ML pipelines in a fast-paced environment.
Leads cross-team data science initiatives architecting scalable ML systems for ad marketplace optimization, bidding strategies, and prediction at exchange scale. Requires PhD with 6+ years or MS/BS with 8+ years in ML, deep learning expertise, Python/SQL, and production ML experience.
Develops and optimizes large-scale simulation and ML training pipelines using Ray.io and Kubernetes to validate autonomous vehicle behaviors. Requires 6+ years experience optimizing distributed systems, Python proficiency, and AWS knowledge.
Develops and deploys ML models for credit underwriting in regulated banking, owning full stack from data curation to production decisioning. Leads MLOps initiatives and improves policies using advanced techniques for underserved segments. Requires 8+ YOE in ML production and technical degree.
Develops and curates large-scale test sets from driving logs to validate autonomous driving system performance. Requires Master's/PhD in data-related field, 3+ years experience, Python proficiency, and expertise in building test sets for statistical analysis.
Supports GTM strategy through data-driven insights, automating reports/dashboards on pipeline, conversions, and retention. Optimizes RevOps processes, ensures CRM data integrity, and advises Sales/Marketing/CS teams. Requires 1-3 YOE in RevOps/BI and proficiency in visualization tools.
Designs and runs experiments to improve oversight of increasingly capable AI models, including model training, evaluation, and deployment of practical systems. Analyzes failures and develops techniques to train more aligned models using oversight signals.
DeepLearning.AI is seeking an AI Engineer to join their Learning Experience Lab. This role involves developing new AI products and features for their education platform, leveraging expertise in software development and machine learning, and building full-stack applications using GenAI tools.