Leads team developing and deploying a unified camera-first perception model for self-driving systems across diverse vehicles, geographies, and conditions. Hands-on with ML architecture, training, evaluation, embedded optimization, and customer requirements. Requires 5+ years ML perception experience and 2+ years team leadership.
Designs, builds, and optimizes ML models for credit risk decisioning and portfolio management. Owns full ML lifecycle including deployment and monitoring, applying stats, causal inference, and economics to business problems. Requires 5+ years experience, strong Python/SQL skills.
Lead Analytics Engineering and BI strategy at a fintech company. Build and scale data warehouse, dimensional models, and Looker reporting layers while managing a high-performing team of analytics engineers.
Conducts cutting-edge research on AI models including LLMs, embedding models, and rerankers for information retrieval and agent paradigms. Requires PhD in CS or related field with strong ML, DL, and NLP background.
Leads hypothesis-driven research using large-scale physiological data to model individual variability, predict states, and inform product insights. Collaborates with product and engineering teams, requiring PhD in quantitative field and expertise in stats/ML for time-series data.
Builds and architects agentic AI systems and GenAI agents for logistics software, integrating with ML workflows. Owns end-to-end feature delivery, mentors engineers, and shapes technical strategy. Requires 5+ years experience and curiosity in LLMs.
Designs and owns Common Data Models and semantic layers for scientific data interoperability in life sciences. Translates business goals into ontologies, ensures FAIR data for AI/ML, and empowers forward-deployed engineers with standardized contracts. Requires 7+ years in data architecture and CDM expertise like HL7 FHIR, OMOP.
Leads end-to-end portfolio risk analytics for Flex's credit card book, covering acquisition to charge-off, building early warning systems, and conducting stress testing. Requires 7-15 years in credit card risk analytics, SQL/Python proficiency, and expertise in SMB credit dynamics.
Builds forecasting interfaces, data pipelines, and scheduling systems for thousands of support agents using ML models. Requires Python ML libraries experience and background in ML/algorithmic teams with focus on performance optimization.
Develops forecasting interfaces, data pipelines, and scheduling systems to predict support contact volume and optimize agent schedules for thousands, incorporating ML models and constraints like labor laws. Requires Python/ML experience and performance focus.
Builds AI infrastructure, frameworks, and agentic systems powering company products. Partners with teams to deploy high-impact AI use cases; requires 2+ years AI/ML experience, LLMs proficiency, and full-stack skills.
Builds scalable AI-powered internal tools, integrations, and services to enable AI adoption across teams. Partners with IT, security, and business ops to deliver secure, production-ready solutions with 5+ years experience in software engineering and AI technologies.
Senior Data Scientist builds and optimizes data pipelines and models for healthcare data, focusing on EMR, drug economics, and pharmacy interventions to enable efficient cancer care delivery and stakeholder reporting.
Build and ship agent-driven GenAI workflows and chatbots for financial products, owning features end-to-end. Requires 3+ years software engineering experience, strong system design, and excitement for AI-assisted development tools.
Builds and optimizes ML research infrastructure, deploys models to production for market-making strategies, and mentors engineers. Requires 5+ years backend experience, Python proficiency, and ML frameworks like PyTorch/Jax.
Builds and operates AI platform capabilities including RAG pipelines, semantic retrieval, agentic orchestration, and LLM integrations to power legal tech products. Requires 4+ years in distributed cloud systems, AI/ML experience, and proficiency in modern programming languages.
Leads and scales machine learning organization at fintech company, defining ML roadmap, productionizing models at scale, and collaborating cross-functionally. Requires 12+ years engineering experience, 7+ years leadership, MS/PhD, deep ML expertise, Python/SQL proficiency.
Builds and manages data pipelines using dbt, SQL, and Python to create scalable analytics infrastructure. Develops dashboards and self-serve tools for company-wide metrics, partnering with Engineering, Product, and GTM teams. Requires 5+ years experience.
Builds AI prototypes and solutions using Celonis Process Intelligence platform for strategic customers, focusing on generative AI, agentic systems, and proof-of-value projects to drive ROI and adoption. Requires 7+ years in technical pre-sales, Python/ML expertise, and business process knowledge.
Embeds across product teams to define KPIs, analyze experiments, build self-serve tooling, and drive data-informed roadmap decisions in AI, algorithms, hardware, and healthcare areas. Requires 2-6+ years analytics experience, advanced SQL, product sense, and storytelling skills.
Designs and leads production data pipelines integrating EHR clinical data from Epic Cerner Athenahealth via FHIR HL7 CCDA enforcing healthcare standards for low-latency insights. Builds AWS cloud infrastructure ETL workflows with Python Docker Kubernetes for ML enablement and HIPAA compliance requiring 5+ years healthcare data engineering experience.
Analyzes GTM metrics like pipeline health, quota attainment, and sales performance for a generative AI company. Partners with sales leadership using SQL, Python, dbt, and Salesforce to build analytics frameworks and data products. Requires 5+ years experience, including 3+ in sales analytics.
Develops and deploys ML models for ads targeting, ranking, and measurement on Discord's Ads platform. Requires 5+ years ML experience, 3+ years in Ads ML, Python proficiency, and PyTorch/TensorFlow expertise.
Builds retrieval stack and search subagents for Databricks AI agents, handling query understanding, hybrid retrieval across structured/unstructured enterprise data, and evaluation. Requires 10+ years in production IR/RAG systems and agentic workflows.
Designs, implements, and optimizes high-performance batch processing infrastructure handling hundreds of petabytes using Spark, Presto/Trino, and Iceberg. Requires 6+ years in scalable big data systems and proficiency in Java, Scala, or Python.
Builds and scales ML/DL infrastructure including data pipelines, annotation workflows, training, deployment, and monitoring for autonomous drone systems. Requires hands-on experience in data engineering, cloud ML platforms, containerization, and MLOps.
Designs, develops, and maintains high-performance ML services and agentic AI systems, collaborating with ML engineers to scale from prototype to production. Requires 5+ years backend/ML experience, cloud-native tech, and strong architecture skills.
Builds and operates distributed inference systems for LLMs at scale and large-scale data pipelines for training/evaluation. Requires 5+ years in production distributed systems, GPU expertise, and frameworks like Ray/Spark.
Applied Scientist drives research in efficient, adaptive ML including online learning and gradient-free methods, implements production ML systems, and shapes research/product roadmap. Requires 3-4 years ML experience deploying real-world systems.
Designs and ships production ML systems for conversational AI personalization at Spotify, focusing on user intent interpretation, agentic workflows, context management, and scalable evaluation frameworks. Requires 5+ years experience with LLMs and production ML.
Builds core infrastructure for production AI agents including runtime, evaluation systems, retrieval, tool orchestration, observability, and reliability features for high-stakes real estate workflows. Requires strong systems engineering with Python, backend, and LLM experience.
Builds, deploys, and maintains scalable ML infrastructure including pipelines, feature stores, and model serving for real-time fintech risk decisions. Requires 4+ years production ML experience with Python, Scala, Spark, Flink, and AWS.
Builds and operates scalable data platform infrastructure including lakehouse, Snowflake, and AWS services. Partners with data and ML teams to enable analytics and innovation, leveraging Python, SQL, orchestration tools, and AI-assisted development.
Builds and maintains ETL pipelines for clinical studies with biometric sensor data, validates hardware algorithms through statistical analysis, and develops tools for data visualization and cross-team collaboration at a sleep tech company.
Designs new information architectures for LLMs to interact with external data sources, implements finetuning/RL training, builds evaluation sets, and develops agentic search capabilities. Requires strong Python/ML skills and LLM experience.
Technical leader on the Data Engineering team driving design and implementation of foundational data products and analytics platform capabilities. Owns complex data systems end-to-end and leads platform modernization, migrations, and cross-functional initiatives.
Builds and scales ML systems for content moderation, policy enforcement, and safety scanning on Spotify. Develops multimodal models combining text, audio, image, video; architects feedback loops and evaluation frameworks for production-grade deployment.
Builds core infrastructure for AI software agents in Devin and Windsurf, focusing on long-horizon task execution, tool use, planning, and reliability at scale. Requires strong Python, systems engineering depth, and AI curiosity; onsite in San Francisco.
Leads Scientific Data Engineering team to build data pipelines, schemas, and parsers for pre-clinical lab data using Python/SQL/AI. Architects solutions, mentors juniors, and delivers customer-focused data products with dashboards in React/Streamlit. Requires 8+ years experience.
Develops and optimizes deep learning compiler passes for Quadric's GPNPU, lowering ONNX models through Relay IR to efficient C++ code. Requires new grad-level proficiency in Python, C++, and compiler concepts like IR transformations and debugging.
Develops mathematical models, machine learning, and optimization algorithms for real-time rideshare supply-demand matching on Lyft's Fulfillment team. Requires MS/PhD in quantitative field, 2+ years experience, and Python proficiency.
Leads architecture of scalable ML platforms for generative AI across text, image, audio, and video. Drives company-level strategy, mentors engineers, and builds large-scale systems requiring 12+ years experience in ML infrastructure.
Designs and authors context, procedures, skills, and system prompts for AI agents performing autonomous accounting tasks. Ensures consistency, monitors performance, and shapes future capabilities through precise language and systems thinking.
Senior Staff ML Engineer fine-tunes and optimizes state-of-the-art LLMs for Airbnb's customer support AI products, including AI assistants and autonomous agents. Partners cross-functionally to productionize models at scale. Requires PhD and 10+ years experience with PyTorch.
Builds scalable data infrastructure for ML training and evaluation in autonomous driving, including pipelines for logs, annotation tools, dashboards, and monitoring systems. Requires Python proficiency, 1+ years experience with large-scale data systems, and CS/EE bachelor's degree.
Builds scalable data infrastructure for autonomous driving ML systems, processing large-scale batch/streaming data from logs and simulations. Requires Python/C++ proficiency, data pipeline experience, and bachelor's in CS/EE; 1+ years experience.
Build scalable data infrastructure for ML training and evaluation in autonomous driving, including batch/streaming pipelines, storage systems, dashboards, monitoring, data mining, and annotation tools. Requires 4+ years experience, Python proficiency, and engineering leadership.
Build scalable data platforms for autonomous driving ML systems, including batch/streaming pipelines, storage, dashboards, and monitoring. Requires 4+ years experience in large-scale data systems, Python/C++, and engineering leadership.
Leads strategy and technical execution for Reddit's marketing intelligence, building MMM and MTA systems to optimize B2B advertiser acquisition and B2C user growth. Requires advanced degree, 6-10+ years experience in marketing science/econometrics, and expertise in Python/R/SQL for causal inference and experimentation.
Designs, builds, and deploys production AI/ML systems for financial operations like invoice matching and payment reconciliation. Requires 5+ years software engineering with 2+ years applied AI/ML, expertise in LLMs, RAG, and Python/PyTorch.
Leads team developing and deploying a unified camera-first perception model for self-driving systems across diverse vehicles, geographies, and conditions. Hands-on with ML architecture, training, evaluation, embedded optimization, and customer requirements. Requires 5+ years ML perception experience and 2+ years team leadership.
Designs, builds, and optimizes ML models for credit risk decisioning and portfolio management. Owns full ML lifecycle including deployment and monitoring, applying stats, causal inference, and economics to business problems. Requires 5+ years experience, strong Python/SQL skills.
Lead Analytics Engineering and BI strategy at a fintech company. Build and scale data warehouse, dimensional models, and Looker reporting layers while managing a high-performing team of analytics engineers.
Conducts cutting-edge research on AI models including LLMs, embedding models, and rerankers for information retrieval and agent paradigms. Requires PhD in CS or related field with strong ML, DL, and NLP background.
Leads hypothesis-driven research using large-scale physiological data to model individual variability, predict states, and inform product insights. Collaborates with product and engineering teams, requiring PhD in quantitative field and expertise in stats/ML for time-series data.
Builds and architects agentic AI systems and GenAI agents for logistics software, integrating with ML workflows. Owns end-to-end feature delivery, mentors engineers, and shapes technical strategy. Requires 5+ years experience and curiosity in LLMs.
Designs and owns Common Data Models and semantic layers for scientific data interoperability in life sciences. Translates business goals into ontologies, ensures FAIR data for AI/ML, and empowers forward-deployed engineers with standardized contracts. Requires 7+ years in data architecture and CDM expertise like HL7 FHIR, OMOP.
Leads end-to-end portfolio risk analytics for Flex's credit card book, covering acquisition to charge-off, building early warning systems, and conducting stress testing. Requires 7-15 years in credit card risk analytics, SQL/Python proficiency, and expertise in SMB credit dynamics.
Builds forecasting interfaces, data pipelines, and scheduling systems for thousands of support agents using ML models. Requires Python ML libraries experience and background in ML/algorithmic teams with focus on performance optimization.
Develops forecasting interfaces, data pipelines, and scheduling systems to predict support contact volume and optimize agent schedules for thousands, incorporating ML models and constraints like labor laws. Requires Python/ML experience and performance focus.
Builds AI infrastructure, frameworks, and agentic systems powering company products. Partners with teams to deploy high-impact AI use cases; requires 2+ years AI/ML experience, LLMs proficiency, and full-stack skills.
Builds scalable AI-powered internal tools, integrations, and services to enable AI adoption across teams. Partners with IT, security, and business ops to deliver secure, production-ready solutions with 5+ years experience in software engineering and AI technologies.
Senior Data Scientist builds and optimizes data pipelines and models for healthcare data, focusing on EMR, drug economics, and pharmacy interventions to enable efficient cancer care delivery and stakeholder reporting.
Build and ship agent-driven GenAI workflows and chatbots for financial products, owning features end-to-end. Requires 3+ years software engineering experience, strong system design, and excitement for AI-assisted development tools.
Builds and optimizes ML research infrastructure, deploys models to production for market-making strategies, and mentors engineers. Requires 5+ years backend experience, Python proficiency, and ML frameworks like PyTorch/Jax.
Builds and operates AI platform capabilities including RAG pipelines, semantic retrieval, agentic orchestration, and LLM integrations to power legal tech products. Requires 4+ years in distributed cloud systems, AI/ML experience, and proficiency in modern programming languages.
Leads and scales machine learning organization at fintech company, defining ML roadmap, productionizing models at scale, and collaborating cross-functionally. Requires 12+ years engineering experience, 7+ years leadership, MS/PhD, deep ML expertise, Python/SQL proficiency.
Builds and manages data pipelines using dbt, SQL, and Python to create scalable analytics infrastructure. Develops dashboards and self-serve tools for company-wide metrics, partnering with Engineering, Product, and GTM teams. Requires 5+ years experience.
Builds AI prototypes and solutions using Celonis Process Intelligence platform for strategic customers, focusing on generative AI, agentic systems, and proof-of-value projects to drive ROI and adoption. Requires 7+ years in technical pre-sales, Python/ML expertise, and business process knowledge.
Embeds across product teams to define KPIs, analyze experiments, build self-serve tooling, and drive data-informed roadmap decisions in AI, algorithms, hardware, and healthcare areas. Requires 2-6+ years analytics experience, advanced SQL, product sense, and storytelling skills.
Designs and leads production data pipelines integrating EHR clinical data from Epic Cerner Athenahealth via FHIR HL7 CCDA enforcing healthcare standards for low-latency insights. Builds AWS cloud infrastructure ETL workflows with Python Docker Kubernetes for ML enablement and HIPAA compliance requiring 5+ years healthcare data engineering experience.
Analyzes GTM metrics like pipeline health, quota attainment, and sales performance for a generative AI company. Partners with sales leadership using SQL, Python, dbt, and Salesforce to build analytics frameworks and data products. Requires 5+ years experience, including 3+ in sales analytics.
Develops and deploys ML models for ads targeting, ranking, and measurement on Discord's Ads platform. Requires 5+ years ML experience, 3+ years in Ads ML, Python proficiency, and PyTorch/TensorFlow expertise.
Builds retrieval stack and search subagents for Databricks AI agents, handling query understanding, hybrid retrieval across structured/unstructured enterprise data, and evaluation. Requires 10+ years in production IR/RAG systems and agentic workflows.
Designs, implements, and optimizes high-performance batch processing infrastructure handling hundreds of petabytes using Spark, Presto/Trino, and Iceberg. Requires 6+ years in scalable big data systems and proficiency in Java, Scala, or Python.
Builds and scales ML/DL infrastructure including data pipelines, annotation workflows, training, deployment, and monitoring for autonomous drone systems. Requires hands-on experience in data engineering, cloud ML platforms, containerization, and MLOps.
Designs, develops, and maintains high-performance ML services and agentic AI systems, collaborating with ML engineers to scale from prototype to production. Requires 5+ years backend/ML experience, cloud-native tech, and strong architecture skills.
Builds and operates distributed inference systems for LLMs at scale and large-scale data pipelines for training/evaluation. Requires 5+ years in production distributed systems, GPU expertise, and frameworks like Ray/Spark.
Applied Scientist drives research in efficient, adaptive ML including online learning and gradient-free methods, implements production ML systems, and shapes research/product roadmap. Requires 3-4 years ML experience deploying real-world systems.
Designs and ships production ML systems for conversational AI personalization at Spotify, focusing on user intent interpretation, agentic workflows, context management, and scalable evaluation frameworks. Requires 5+ years experience with LLMs and production ML.
Builds core infrastructure for production AI agents including runtime, evaluation systems, retrieval, tool orchestration, observability, and reliability features for high-stakes real estate workflows. Requires strong systems engineering with Python, backend, and LLM experience.
Builds, deploys, and maintains scalable ML infrastructure including pipelines, feature stores, and model serving for real-time fintech risk decisions. Requires 4+ years production ML experience with Python, Scala, Spark, Flink, and AWS.
Builds and operates scalable data platform infrastructure including lakehouse, Snowflake, and AWS services. Partners with data and ML teams to enable analytics and innovation, leveraging Python, SQL, orchestration tools, and AI-assisted development.
Builds and maintains ETL pipelines for clinical studies with biometric sensor data, validates hardware algorithms through statistical analysis, and develops tools for data visualization and cross-team collaboration at a sleep tech company.
Designs new information architectures for LLMs to interact with external data sources, implements finetuning/RL training, builds evaluation sets, and develops agentic search capabilities. Requires strong Python/ML skills and LLM experience.
Technical leader on the Data Engineering team driving design and implementation of foundational data products and analytics platform capabilities. Owns complex data systems end-to-end and leads platform modernization, migrations, and cross-functional initiatives.
Builds and scales ML systems for content moderation, policy enforcement, and safety scanning on Spotify. Develops multimodal models combining text, audio, image, video; architects feedback loops and evaluation frameworks for production-grade deployment.
Builds core infrastructure for AI software agents in Devin and Windsurf, focusing on long-horizon task execution, tool use, planning, and reliability at scale. Requires strong Python, systems engineering depth, and AI curiosity; onsite in San Francisco.
Leads Scientific Data Engineering team to build data pipelines, schemas, and parsers for pre-clinical lab data using Python/SQL/AI. Architects solutions, mentors juniors, and delivers customer-focused data products with dashboards in React/Streamlit. Requires 8+ years experience.
Develops and optimizes deep learning compiler passes for Quadric's GPNPU, lowering ONNX models through Relay IR to efficient C++ code. Requires new grad-level proficiency in Python, C++, and compiler concepts like IR transformations and debugging.
Develops mathematical models, machine learning, and optimization algorithms for real-time rideshare supply-demand matching on Lyft's Fulfillment team. Requires MS/PhD in quantitative field, 2+ years experience, and Python proficiency.
Leads architecture of scalable ML platforms for generative AI across text, image, audio, and video. Drives company-level strategy, mentors engineers, and builds large-scale systems requiring 12+ years experience in ML infrastructure.
Designs and authors context, procedures, skills, and system prompts for AI agents performing autonomous accounting tasks. Ensures consistency, monitors performance, and shapes future capabilities through precise language and systems thinking.
Senior Staff ML Engineer fine-tunes and optimizes state-of-the-art LLMs for Airbnb's customer support AI products, including AI assistants and autonomous agents. Partners cross-functionally to productionize models at scale. Requires PhD and 10+ years experience with PyTorch.
Builds scalable data infrastructure for ML training and evaluation in autonomous driving, including pipelines for logs, annotation tools, dashboards, and monitoring systems. Requires Python proficiency, 1+ years experience with large-scale data systems, and CS/EE bachelor's degree.
Builds scalable data infrastructure for autonomous driving ML systems, processing large-scale batch/streaming data from logs and simulations. Requires Python/C++ proficiency, data pipeline experience, and bachelor's in CS/EE; 1+ years experience.
Build scalable data infrastructure for ML training and evaluation in autonomous driving, including batch/streaming pipelines, storage systems, dashboards, monitoring, data mining, and annotation tools. Requires 4+ years experience, Python proficiency, and engineering leadership.
Build scalable data platforms for autonomous driving ML systems, including batch/streaming pipelines, storage, dashboards, and monitoring. Requires 4+ years experience in large-scale data systems, Python/C++, and engineering leadership.
Leads strategy and technical execution for Reddit's marketing intelligence, building MMM and MTA systems to optimize B2B advertiser acquisition and B2C user growth. Requires advanced degree, 6-10+ years experience in marketing science/econometrics, and expertise in Python/R/SQL for causal inference and experimentation.
Designs, builds, and deploys production AI/ML systems for financial operations like invoice matching and payment reconciliation. Requires 5+ years software engineering with 2+ years applied AI/ML, expertise in LLMs, RAG, and Python/PyTorch.