Leads development of Airbnb's conversational AI Automation Platform and agent provisioning systems. Drives backend optimization, prompt engineering, and LLM integrations with 9+ years experience in scalable architectures.
Leads technical enablement and adoption of OpenAI products like ChatGPT Enterprise, API, and Agents for enterprise customers through workshops and trainings. Requires 4+ years customer-facing experience, strong AI technical knowledge including RAG and fine-tuning, and exceptional communication skills.
Designs and optimizes prompts for social AI characters to ensure realistic personality, emotion, and behavior across text, voice, image, and video. Collaborates with product, design, and engineering on scalable systems; requires 3+ years LLM experience and Python familiarity.
Builds and owns customer data integrations for hospital systems, designing production ETL pipelines and reusable connectors. Requires 4+ years experience with Python, SQL, AWS, and direct customer collaboration in ambiguous environments.
Build evaluation infrastructure for AI systems at Sentry, designing datasets, benchmarks, and test harnesses to measure accuracy and reliability of debugging agents. Requires 5+ years experience, Python/TypeScript proficiency, and AI/ML background.
Leads establishment of measurement practice for creator marketing, defining ROI frameworks, advising top brands on MMM/incrementality/attribution, and driving product roadmap for scalable analytics.
Develops and deploys AI models for robotic perception, control, inspection, and simulation-to-real transfer in manufacturing environments. Requires Master's/PhD, 5+ years experience, PyTorch proficiency, and hands-on robotics work.
Builds and optimizes scalable data pipelines, storage, and OLAP databases for ML training, analytics, and product features. Requires 5+ years in data engineering, proficiency in Python/SQL/cloud platforms, and distributed systems experience.
Builds large-scale ML infrastructure including GPU clusters, training frameworks, and workload schedulers. Requires strong systems engineering in Python, Rust, Golang, with Kubernetes and distributed systems experience.
Staff Data Scientist owns product measurement strategies, leads cross-team initiatives, sets experimentation standards, and builds scalable analytics for product areas. Requires 10+ years experience, SQL/Python expertise, and strong causal inference skills.
Builds and maintains scalable data pipelines and infrastructure for business decisions, partnering with Analytics, Data Science, and Product teams. Requires 6+ years experience with Python, SQL, and modern data stack tools like Snowflake and Airflow.
Build and operate production AI systems including LLM-powered agents, model orchestration, RAG, and backend APIs for tax automation workflows. Requires 7+ years experience with 2+ in LLMs, backend fluency, and startup intensity.
Builds distributed training, inference, and data systems for frontier coding models, working with researchers to enable fast iteration. Requires strong infrastructure background and intuitions about language models.
Leads development of models and algorithms for real-time voice AI agents, focusing on speech understanding, naturalness, and production deployment. Requires 8+ years in AI/ML engineering, Python fluency, and experience deploying LLMs.
Senior analytical leader building marketing measurement systems, incrementality testing, and growth models to drive channel strategy and executive decisions at a Series D mental health platform.
Measures incremental impact of new rider product features using advanced causal inference. Partners with Product, Engineering, and Finance to drive innovation decisions. Requires Master's/PhD, 3+ years applied experience, Python/SQL proficiency.
Measures incremental impact of new rider product features using advanced causal inference, designs production-grade measurement systems, and partners with Product/Engineering to drive innovation and business growth. Requires 3+ years experience, Master's/PhD, Python/SQL proficiency.
Designs and trains embedding and retrieval models for AI agents to access web data at hyperscale, balancing research innovation with production efficiency for sub-second latency and fresh indexes.
Designs and architects scalable database systems for high-traffic gaming workloads, builds automation tooling and data pipelines, and optimizes performance for real-time chess games and social features. Requires 5+ years experience with MySQL, Redis, Python/Go, and infrastructure-as-code tools.
Build full-stack systems, tools, and infrastructure for human feedback collection, AI model alignment, and evaluation. Collaborate with researchers to scale production systems and enhance model safety in a fast-paced environment.
Build advanced search quality systems using machine learning, including personalization signals, ranking models, and domain-adapted LLMs for enterprise search. Requires 2+ years experience in ML, search/NLP, strong coding in Python/Go/Java/C++, and bachelor's in CS/math.
Pioneers quantitative research for music generation AI using proprietary datasets, designs evaluation frameworks for models, drives data roadmaps, and builds production infrastructure at the intersection of research, engineering, and product. Requires PhD or 5+ years quant experience with strong coding skills.
Build and scale ML compute infrastructure and distributed training pipelines for foundation models. Optimize GPU/CPU efficiency and data throughput for large-scale model training and inference.
Develops AI-driven code conversion, data migration pipelines, and validation tools for migrating applications to Snowflake. Requires strong Python expertise, agentic AI experience, and distributed systems knowledge.
Develops and optimizes inference engines for multimodal AI models, integrating new architectures, building scheduling systems, and managing large-scale GPU deployments. Requires strong Python, model serving frameworks like PyTorch/vLLM, and Kubernetes expertise.
Leads development of LLM- and agent-based features for Datadog's APM to detect, resolve, and prevent performance issues using traces, metrics, and logs. Requires 4+ years in backend/ML systems, production AI experience, and distributed systems expertise.
Build AI-assisted tools using LLMs to generate tests, fix bugs, and boost developer productivity at Datadog. Requires 5+ years backend experience in Go/Java/Python and shipping LLM software to production.
Lead GenAI/ML initiatives for Datadog's APM team, designing and deploying models for agentic workflows, automated investigations, and performance optimization. Requires 10+ years experience with 4+ years leading cross-team projects.
Conducts cutting-edge research in Generative AI, building foundation models and autonomous agents for cloud observability, SRE, and code repair. Requires PhD in ML or related field, publications at top conferences, and expertise in PyTorch/TensorFlow distributed training.
Lead development of LLM observability features at Datadog, building tools for monitoring, tracing, and evaluating AI systems in production. Requires expertise in distributed systems, GenAI applications, and model internals.
Builds and deploys ML models for sleep personalization, readiness forecasting, and behavior prediction using foundation models and multimodal data. Requires 2+ years production ML experience with PyTorch/TensorFlow, personalization systems, and strong Python engineering.
Builds and scales large-scale data infrastructure including batch systems with Spark and Ray Data, streaming pipelines with Kafka/Flink, and storage on S3/Iceberg. Requires deep hands-on experience with production data pipelines and performance debugging.
Owns end-to-end lifecycle of memory features in AI systems, fine-tuning LLMs for extraction/updates/forgetting, implementing research papers, building large-scale evaluations, and shipping production models with engineering. Requires RAG/IR experience, PyTorch proficiency, and production ML expertise.
Build analytics foundation for Deepgram's voice AI platform, owning self-serve growth strategy, experiments, and dashboards using SQL, Superset, and Heap. Partner with product team to drive API adoption and inform strategic investments.
Build marketing data science function, define metrics and dashboards, model channel/campaign performance using stats/ML. Partner with Marketing/GTM/Finance; requires 6+ years experience, SQL/Python/R expertise, modern data stack proficiency.
Conduct cutting-edge research on Large Language Models, focusing on transformer optimization, distributed training, data curation, and RL. Collaborate on experiments, deploy models to production, and drive voice AI innovations.
Pioneers Latent Space Models to solve core challenges in voice AI, developing neural audio codecs, generative speech models, and scalable multimodal systems. Requires strong expertise in statistical learning, foundation models, and bridging theory to efficient deployment.
Owns Runway's internal EDA and evaluation platform for ML research teams, optimizing queries, scaling infrastructure, and building intuitive features for non-engineers. Requires 4+ years backend experience with platform/infra, ML knowledge, or product engineering.
ML infrastructure engineer productionizing generative AI models from research to scale, optimizing multi-GPU inference, and building reliable serving systems. Requires 4+ years ML inference experience, PyTorch, Kubernetes expertise.
Builds and scales data infrastructure including pipelines for multimodal ML datasets, ETL/CDC streams, and database management to support AI research and business intelligence. Requires 4+ years in data engineering with strong Python and SQL skills.
Designs prompt and context engineering strategies for AI products, builds evaluation pipelines, and ensures model quality and behavioral consistency. Requires 3+ years with LLMs, Python experience, and expertise in AI evaluations.
Build and maintain core GenAI infrastructure including model gateways, vector databases, observability tools, and integration with agent workflows. Requires extensive AI platform experience, Kubernetes, OpenTelemetry/MLFlow, and preferred LLM serving frameworks.
Build and maintain scalable data models, pipelines, and Core Data tables to transform raw data into actionable insights. Collaborate with data scientists and business teams using SQL, DBT, Snowflake, Airflow, and Python.
Lead the design, build, and operation of multi-agent AI systems from prototypes to production, owning architecture, reliability, and performance for consumer AI products. Requires strong production experience with LLM-powered systems, agentic workflows, and backend engineering.
Develop and enhance TypeScript-based AI SDK for building AI-native products and agents. Collaborate with distributed engineering team; requires 5+ years experience in JavaScript/TypeScript and open source contributions.
Research-Hardware Codesign Engineer bridges ML research and silicon architecture, debugging performance gaps, writing quantization kernels, prototyping numerics in RTL, and analyzing system tradeoffs for AI-optimized hardware.
Build and operate high-performance inference infrastructure for large language models, deploying optimized NLP models to production with low latency and high throughput using Kubernetes and cloud platforms. Requires 5+ years experience in scalable distributed systems and GPU workloads.
Designs and builds dashboards/reports for financial performance and operational efficiency in healthcare, partnering with clinics and stakeholders. Requires 5+ years experience, strong SQL, analytical skills, and communication to drive data-informed solutions.
Build and ship full-stack AI projects including AI agents, RAG, structured extraction, and LLM infrastructure. Requires proficiency in full-stack development, backend systems, cloud infrastructure, and production LLM experience.
Builds scalable ML systems and end-to-end pipelines for fraud detection, anomaly detection, and real-time decisioning in payments. Requires 5+ years ML production experience, including 2+ in fraud/risk, Python proficiency, and ML frameworks like PyTorch/TensorFlow.
Leads development of Airbnb's conversational AI Automation Platform and agent provisioning systems. Drives backend optimization, prompt engineering, and LLM integrations with 9+ years experience in scalable architectures.
Leads technical enablement and adoption of OpenAI products like ChatGPT Enterprise, API, and Agents for enterprise customers through workshops and trainings. Requires 4+ years customer-facing experience, strong AI technical knowledge including RAG and fine-tuning, and exceptional communication skills.
Designs and optimizes prompts for social AI characters to ensure realistic personality, emotion, and behavior across text, voice, image, and video. Collaborates with product, design, and engineering on scalable systems; requires 3+ years LLM experience and Python familiarity.
Builds and owns customer data integrations for hospital systems, designing production ETL pipelines and reusable connectors. Requires 4+ years experience with Python, SQL, AWS, and direct customer collaboration in ambiguous environments.
Build evaluation infrastructure for AI systems at Sentry, designing datasets, benchmarks, and test harnesses to measure accuracy and reliability of debugging agents. Requires 5+ years experience, Python/TypeScript proficiency, and AI/ML background.
Leads establishment of measurement practice for creator marketing, defining ROI frameworks, advising top brands on MMM/incrementality/attribution, and driving product roadmap for scalable analytics.
Develops and deploys AI models for robotic perception, control, inspection, and simulation-to-real transfer in manufacturing environments. Requires Master's/PhD, 5+ years experience, PyTorch proficiency, and hands-on robotics work.
Builds and optimizes scalable data pipelines, storage, and OLAP databases for ML training, analytics, and product features. Requires 5+ years in data engineering, proficiency in Python/SQL/cloud platforms, and distributed systems experience.
Builds large-scale ML infrastructure including GPU clusters, training frameworks, and workload schedulers. Requires strong systems engineering in Python, Rust, Golang, with Kubernetes and distributed systems experience.
Staff Data Scientist owns product measurement strategies, leads cross-team initiatives, sets experimentation standards, and builds scalable analytics for product areas. Requires 10+ years experience, SQL/Python expertise, and strong causal inference skills.
Builds and maintains scalable data pipelines and infrastructure for business decisions, partnering with Analytics, Data Science, and Product teams. Requires 6+ years experience with Python, SQL, and modern data stack tools like Snowflake and Airflow.
Build and operate production AI systems including LLM-powered agents, model orchestration, RAG, and backend APIs for tax automation workflows. Requires 7+ years experience with 2+ in LLMs, backend fluency, and startup intensity.
Builds distributed training, inference, and data systems for frontier coding models, working with researchers to enable fast iteration. Requires strong infrastructure background and intuitions about language models.
Leads development of models and algorithms for real-time voice AI agents, focusing on speech understanding, naturalness, and production deployment. Requires 8+ years in AI/ML engineering, Python fluency, and experience deploying LLMs.
Senior analytical leader building marketing measurement systems, incrementality testing, and growth models to drive channel strategy and executive decisions at a Series D mental health platform.
Measures incremental impact of new rider product features using advanced causal inference. Partners with Product, Engineering, and Finance to drive innovation decisions. Requires Master's/PhD, 3+ years applied experience, Python/SQL proficiency.
Measures incremental impact of new rider product features using advanced causal inference, designs production-grade measurement systems, and partners with Product/Engineering to drive innovation and business growth. Requires 3+ years experience, Master's/PhD, Python/SQL proficiency.
Designs and trains embedding and retrieval models for AI agents to access web data at hyperscale, balancing research innovation with production efficiency for sub-second latency and fresh indexes.
Designs and architects scalable database systems for high-traffic gaming workloads, builds automation tooling and data pipelines, and optimizes performance for real-time chess games and social features. Requires 5+ years experience with MySQL, Redis, Python/Go, and infrastructure-as-code tools.
Build full-stack systems, tools, and infrastructure for human feedback collection, AI model alignment, and evaluation. Collaborate with researchers to scale production systems and enhance model safety in a fast-paced environment.
Build advanced search quality systems using machine learning, including personalization signals, ranking models, and domain-adapted LLMs for enterprise search. Requires 2+ years experience in ML, search/NLP, strong coding in Python/Go/Java/C++, and bachelor's in CS/math.
Pioneers quantitative research for music generation AI using proprietary datasets, designs evaluation frameworks for models, drives data roadmaps, and builds production infrastructure at the intersection of research, engineering, and product. Requires PhD or 5+ years quant experience with strong coding skills.
Build and scale ML compute infrastructure and distributed training pipelines for foundation models. Optimize GPU/CPU efficiency and data throughput for large-scale model training and inference.
Develops AI-driven code conversion, data migration pipelines, and validation tools for migrating applications to Snowflake. Requires strong Python expertise, agentic AI experience, and distributed systems knowledge.
Develops and optimizes inference engines for multimodal AI models, integrating new architectures, building scheduling systems, and managing large-scale GPU deployments. Requires strong Python, model serving frameworks like PyTorch/vLLM, and Kubernetes expertise.
Leads development of LLM- and agent-based features for Datadog's APM to detect, resolve, and prevent performance issues using traces, metrics, and logs. Requires 4+ years in backend/ML systems, production AI experience, and distributed systems expertise.
Build AI-assisted tools using LLMs to generate tests, fix bugs, and boost developer productivity at Datadog. Requires 5+ years backend experience in Go/Java/Python and shipping LLM software to production.
Lead GenAI/ML initiatives for Datadog's APM team, designing and deploying models for agentic workflows, automated investigations, and performance optimization. Requires 10+ years experience with 4+ years leading cross-team projects.
Conducts cutting-edge research in Generative AI, building foundation models and autonomous agents for cloud observability, SRE, and code repair. Requires PhD in ML or related field, publications at top conferences, and expertise in PyTorch/TensorFlow distributed training.
Lead development of LLM observability features at Datadog, building tools for monitoring, tracing, and evaluating AI systems in production. Requires expertise in distributed systems, GenAI applications, and model internals.
Builds and deploys ML models for sleep personalization, readiness forecasting, and behavior prediction using foundation models and multimodal data. Requires 2+ years production ML experience with PyTorch/TensorFlow, personalization systems, and strong Python engineering.
Builds and scales large-scale data infrastructure including batch systems with Spark and Ray Data, streaming pipelines with Kafka/Flink, and storage on S3/Iceberg. Requires deep hands-on experience with production data pipelines and performance debugging.
Owns end-to-end lifecycle of memory features in AI systems, fine-tuning LLMs for extraction/updates/forgetting, implementing research papers, building large-scale evaluations, and shipping production models with engineering. Requires RAG/IR experience, PyTorch proficiency, and production ML expertise.
Build analytics foundation for Deepgram's voice AI platform, owning self-serve growth strategy, experiments, and dashboards using SQL, Superset, and Heap. Partner with product team to drive API adoption and inform strategic investments.
Build marketing data science function, define metrics and dashboards, model channel/campaign performance using stats/ML. Partner with Marketing/GTM/Finance; requires 6+ years experience, SQL/Python/R expertise, modern data stack proficiency.
Conduct cutting-edge research on Large Language Models, focusing on transformer optimization, distributed training, data curation, and RL. Collaborate on experiments, deploy models to production, and drive voice AI innovations.
Pioneers Latent Space Models to solve core challenges in voice AI, developing neural audio codecs, generative speech models, and scalable multimodal systems. Requires strong expertise in statistical learning, foundation models, and bridging theory to efficient deployment.
Owns Runway's internal EDA and evaluation platform for ML research teams, optimizing queries, scaling infrastructure, and building intuitive features for non-engineers. Requires 4+ years backend experience with platform/infra, ML knowledge, or product engineering.
ML infrastructure engineer productionizing generative AI models from research to scale, optimizing multi-GPU inference, and building reliable serving systems. Requires 4+ years ML inference experience, PyTorch, Kubernetes expertise.
Builds and scales data infrastructure including pipelines for multimodal ML datasets, ETL/CDC streams, and database management to support AI research and business intelligence. Requires 4+ years in data engineering with strong Python and SQL skills.
Designs prompt and context engineering strategies for AI products, builds evaluation pipelines, and ensures model quality and behavioral consistency. Requires 3+ years with LLMs, Python experience, and expertise in AI evaluations.
Build and maintain core GenAI infrastructure including model gateways, vector databases, observability tools, and integration with agent workflows. Requires extensive AI platform experience, Kubernetes, OpenTelemetry/MLFlow, and preferred LLM serving frameworks.
Build and maintain scalable data models, pipelines, and Core Data tables to transform raw data into actionable insights. Collaborate with data scientists and business teams using SQL, DBT, Snowflake, Airflow, and Python.
Lead the design, build, and operation of multi-agent AI systems from prototypes to production, owning architecture, reliability, and performance for consumer AI products. Requires strong production experience with LLM-powered systems, agentic workflows, and backend engineering.
Develop and enhance TypeScript-based AI SDK for building AI-native products and agents. Collaborate with distributed engineering team; requires 5+ years experience in JavaScript/TypeScript and open source contributions.
Research-Hardware Codesign Engineer bridges ML research and silicon architecture, debugging performance gaps, writing quantization kernels, prototyping numerics in RTL, and analyzing system tradeoffs for AI-optimized hardware.
Build and operate high-performance inference infrastructure for large language models, deploying optimized NLP models to production with low latency and high throughput using Kubernetes and cloud platforms. Requires 5+ years experience in scalable distributed systems and GPU workloads.
Designs and builds dashboards/reports for financial performance and operational efficiency in healthcare, partnering with clinics and stakeholders. Requires 5+ years experience, strong SQL, analytical skills, and communication to drive data-informed solutions.
Build and ship full-stack AI projects including AI agents, RAG, structured extraction, and LLM infrastructure. Requires proficiency in full-stack development, backend systems, cloud infrastructure, and production LLM experience.
Builds scalable ML systems and end-to-end pipelines for fraud detection, anomaly detection, and real-time decisioning in payments. Requires 5+ years ML production experience, including 2+ in fraud/risk, Python proficiency, and ML frameworks like PyTorch/TensorFlow.