Part-time student role supporting AI validation and benchmarking for autonomous vehicle systems. Responsibilities include running benchmark pipelines, building ground truth datasets, developing evaluation metrics, analyzing failures, and automating tooling. Requires current enrollment in CS/Engineering program, 20+ hrs/week on-site, and familiarity with Python and ML evaluation concepts.
Intern role supporting Cloudflare's Professional Services team by designing and deploying AI-driven prototypes (LLMs, RAG) to automate project workflows, resource planning, and forecasting. Requires current enrollment in a Bachelor's or Master's program with AI focus; full-time 12-week Fall internship.
Lead Software Engineer architecting and implementing Model Predictive Control (MPC) systems and vehicle dynamics models for autonomous vehicles. 80% hands-on C++ development and optimization with 20% technical leadership and mentoring of a small controls team. Requires 6+ years experience, deep MPC/optimization expertise, and strong individual contribution.
Build and scale Astronomer's AI-powered global context layer for data, focusing on semantic search, retrieval, code generation, and applied AI for data engineering workflows. Requires 5+ years software engineering experience with Python or Go, plus strong interest in LLMs and data tools.
Lead the architecture and development of a scalable, unified AI/ML platform supporting traditional ML models, LLMs, generative AI, and multi-agent systems. Requires deep expertise in ML engineering, LLMOps, agentic frameworks, Python, cloud infrastructure, and technical leadership.
Senior ML Engineer on Airbnb's Relevance and Personalization team building end-to-end ranking algorithms, models, and infrastructure for search, recommendations, and marketplace optimization using large-scale structured and unstructured data.
Develop and integrate real-time sensor perception and fusion algorithms for autonomous vehicles across land, air, sea, and space domains. Requires MS/PhD or 5+ years experience with multi-modal sensors (EO/IR/radar), ML deployment, and Linux/Docker; US citizenship and security clearance eligibility mandatory.
Senior AI Engineer owning end-to-end LLM-driven agent systems for business data enrichment, web presence verification, entity linking, and risk scoring at Baselayer. Requires production LLM agents experience, async Python, browser automation, and eval frameworks.
Steward Roboflow's open-source Inference engine by building an agentic-driven contribution, review, CI/CD, and testing pipeline to enable daily releases from high-volume AI-generated PRs while maintaining quality. Own model integration, community enablement, documentation, and customer education for computer vision inference across cloud and edge.
Lead and mentor an MLOps team to build scalable ML infrastructure, automated pipelines, and low-latency model serving for large tabular models. Requires 7+ years MLOps experience including 3+ years leading teams, deep expertise in Kubernetes, model serving frameworks, and observability tools.
Build and operate research infrastructure like evaluation frameworks, RL training systems, and experiment tracking platforms. Partner directly with ML researchers to identify bottlenecks, ensure high adoption of tools, and accelerate research velocity.
Staff ML Engineer building CustomerLake, Databricks' Customer Data Platform for enterprise ML/AI personalization, recommendations, churn, and LTV modeling. Requires 10+ years shipping production ML/LLM systems with strong product mindset in 0-to-1 environments.
Quantitative Researcher developing cutting-edge ML and statistical models to identify predictive signals in global financial markets. Requires PhD in a STEM field, strong Python skills, and interest in ML/AI; no finance experience needed. Matched to Alpha Research, Data Science, or Strategy Research teams.
Lead a team developing large-scale RL and ML models for autonomous vehicle behavior planning and driving decisions. Requires RL/ML expertise, production ML pipeline experience, and 3+ years in leadership.
Senior technical IC owning the Modeling to ML Serving to API architecture for Airbnb's Host Pricing platform. Lead unified serving stack, backfill/evaluation infrastructure, and domain contracts between ML modeling and serving teams.
Optimize and deploy large multi-modal foundation models (LLMs, VLMs) for real-time inference on power-constrained vehicle SoCs. Focus on quantization, custom CUDA kernels, TensorRT pipelines, resource allocation, and low-latency concurrent C++ code for autonomous systems.
Build and optimize ML models for candidate-job matching, ranking, recommendations, and marketplace allocation at Mercor. Requires production ML experience with ranking/recommendation systems and strong applied ML skills across the full stack.
Player-coach Technical Lead Manager for AI Systems & Agents at Instabase. Hands-on architect and builder of stateful multi-turn agent loops, secure code execution sandboxes, tool orchestration via MCP, and evaluation harnesses while leading and growing a small elite team of AI engineers.
Sr. Staff ML Engineer building backend systems, statistical models, and experiments to optimize Pinterest's ads marketplace and balance long/short-term objectives. Requires MS/PhD (or equiv), 7+ years experience, strong software engineering and math skills.
Research Engineer advancing Claude's computer use capabilities through experiments, RL environments, evaluations, and infrastructure for perception and agentic tasks. Requires Python, ML training/evaluation experience, and a focus on safe AI.
Lead the cloud ML team at WHOOP developing production algorithms for sleep, recovery, and training insights from wearable sensor data. Manage ML scientists and engineers while driving technical vision, development practices, cross-functional partnerships with hardware and product teams, and ensuring algorithms evolve with new sensors for better member experiences.
Technical leader on Datadog's APM team building and deploying GenAI/ML models for agentic investigations, automated troubleshooting, and incident triaging. Requires 10+ years experience leading large-scale GenAI initiatives end-to-end in product environments.
Lead development of computational infrastructure for large-scale neuroscience research, building real-time stimulus/acquisition systems, high-throughput data pipelines, and cloud tools. Requires exceptional full-stack engineering with real-time systems experience; neuroscience background not required.
Build and own core layers of a scalable Agentic AI platform for autonomous engineering agents at Okta, including agent identity/auth, knowledge/memory, observability, governance/safety, and orchestration. Requires 5+ years backend engineering experience plus AI/agent exposure; strong distributed systems and security knowledge.
Senior Engineer building production-grade applied AI systems, LLM-powered tools, retrieval/memory patterns, and human-in-the-loop workflows to create organizational intelligence for home care operations. Requires Python experience, production system design skills, and cross-functional collaboration.
Research Engineer embedded in large-scale multimodal model training at Black Forest Labs (creators of FLUX). Own performance, stability, and low-precision optimizations for production training runs; profile, debug distributed systems, implement GPU kernels, and partner with researchers to ship frontier generative models.
Build and ship reliable, scalable LLM-powered AI agents for high-stakes legal workflows at an agentic law platform. Requires 4+ years software/AI engineering experience, strong Python skills, production ML/LLM integration experience, and AI fluency.
Research Scientist II building and improving fraud risk models and scam detection systems using audio, behavioral, and metadata signals. Requires an advanced degree and 3+ years of applied ML experience with Python and modern ML frameworks.
Research engineer focused on post-training LLMs and agents for legal work. Requires hands-on experience training open-weight models and strong Python/research engineering skills.
Lead architect and builder of large-scale ASR/NLP/LLM systems for Otter's conversational intelligence products. Owns end-to-end ML lifecycles from research to production deployment, mentoring engineers and setting technical direction.
Lead projects building and deploying large-scale ASR, NLP, and LLM systems for meeting intelligence. Requires 5+ years building production ML systems with PyTorch/JAX and experience with speech/language models.
Build full-stack AI prototypes and agentic systems to pressure-test venture ideas. Requires 3+ years building production AI applications with strong frontend/backend fluency and frontier coding agent expertise.
Technical leader building and scaling production-grade multi-agent AI systems for real-time voice, workflow automation, and enterprise tool execution. Requires 8+ years experience and deep expertise in LLM platforms, agent frameworks, and distributed systems.
Build and evolve auction, bidding, and budgeting ML systems that power Reddit Ads. Design optimization algorithms balancing advertiser performance, user experience, and marketplace efficiency.
Train frontier models to generate polished artifacts (docs, spreadsheets, slides) by owning post-training improvements across RL, data, evals, and alignment. Requires strong ML fundamentals and hands-on LLM/RL experience.
Train frontier models to operate computers, browsers, and desktops. Design experiments, build evals, own post-training pipelines (RL, data, graders), and ship improvements into OpenAI agents.
Train frontier agents to interface with professional software via code, APIs, and structured integrations. Design experiments, own post-training improvements (RL, evals, data), and ship capabilities into major model runs.
Context Researcher on the Agent Post-Training team scaling compute on context for frontier agent models. Designs experiments, owns post-training improvements, builds evals, and ships capabilities into Codex and ChatGPT.
Help shape OpenAI agent personality by turning qualitative collaboration insights into evals, training data, reward signals, and model improvements that reach production.
Improve agentic model capabilities, reliability, and product fit for power users and API developers through evals, training data, and post-training interventions.
Research engineer/scientist building and evaluating vision capabilities for Claude models. Requires 7+ years ML/computer vision experience and work across pretraining, RL, and agentic infrastructure.
Senior engineer building and scaling Mercury's LLM-powered financial assistant Command. Owns full-stack AI product development from system prompts and agentic workflows to eval infrastructure and production reliability.
Build and deploy ML models for entity resolution and knowledge graph expansion on large-scale China-related data. Requires 4+ years clustering ML experience and end-to-end production ML with Python/SQL.
Staff-level AI engineer building and shipping LLM/agent-powered observability features that help users detect, triage, and resolve incidents. Requires strong production software engineering experience plus practical GenAI/LLM skills.
Build and productionize ML systems for real-time bidding, campaign optimization, and incrementality measurement in a CTV ad platform. Requires strong Python, ML fundamentals, and 4+ years experience.
Build AI agents that navigate digital environments and perform user tasks. Requires strong AI/ML experience, Python proficiency, and product intuition.
Research Engineer/Scientist improving model capabilities for personalized AI experiences. Focus on tool-use, instruction following, evaluations, and training improvements. Requires strong ML engineering and research experience.
Improve capabilities, reliability, and product fit of OpenAI's agentic models through research, infrastructure, evals, and training. Work across RL, data, model behavior, and product integration for frontier agents.
Hybrid ML/SRE role owning reliability, security, and safety of a large fleet of generative media model APIs (image, video, audio). Build observability for ML-specific failures, harden deployments, operationalize safety systems, lead incident response, and improve GPU fleet efficiency.
Own the full lifecycle of ML models for risk detection — from data ingestion and pipeline building to LLM/Generative AI model development, deployment, and measuring business impact in a SaaS platform. Requires 5+ years spanning data engineering and production ML.
Part-time student role supporting AI validation and benchmarking for autonomous vehicle systems. Responsibilities include running benchmark pipelines, building ground truth datasets, developing evaluation metrics, analyzing failures, and automating tooling. Requires current enrollment in CS/Engineering program, 20+ hrs/week on-site, and familiarity with Python and ML evaluation concepts.
Intern role supporting Cloudflare's Professional Services team by designing and deploying AI-driven prototypes (LLMs, RAG) to automate project workflows, resource planning, and forecasting. Requires current enrollment in a Bachelor's or Master's program with AI focus; full-time 12-week Fall internship.
Lead Software Engineer architecting and implementing Model Predictive Control (MPC) systems and vehicle dynamics models for autonomous vehicles. 80% hands-on C++ development and optimization with 20% technical leadership and mentoring of a small controls team. Requires 6+ years experience, deep MPC/optimization expertise, and strong individual contribution.
Build and scale Astronomer's AI-powered global context layer for data, focusing on semantic search, retrieval, code generation, and applied AI for data engineering workflows. Requires 5+ years software engineering experience with Python or Go, plus strong interest in LLMs and data tools.
Lead the architecture and development of a scalable, unified AI/ML platform supporting traditional ML models, LLMs, generative AI, and multi-agent systems. Requires deep expertise in ML engineering, LLMOps, agentic frameworks, Python, cloud infrastructure, and technical leadership.
Senior ML Engineer on Airbnb's Relevance and Personalization team building end-to-end ranking algorithms, models, and infrastructure for search, recommendations, and marketplace optimization using large-scale structured and unstructured data.
Develop and integrate real-time sensor perception and fusion algorithms for autonomous vehicles across land, air, sea, and space domains. Requires MS/PhD or 5+ years experience with multi-modal sensors (EO/IR/radar), ML deployment, and Linux/Docker; US citizenship and security clearance eligibility mandatory.
Senior AI Engineer owning end-to-end LLM-driven agent systems for business data enrichment, web presence verification, entity linking, and risk scoring at Baselayer. Requires production LLM agents experience, async Python, browser automation, and eval frameworks.
Steward Roboflow's open-source Inference engine by building an agentic-driven contribution, review, CI/CD, and testing pipeline to enable daily releases from high-volume AI-generated PRs while maintaining quality. Own model integration, community enablement, documentation, and customer education for computer vision inference across cloud and edge.
Lead and mentor an MLOps team to build scalable ML infrastructure, automated pipelines, and low-latency model serving for large tabular models. Requires 7+ years MLOps experience including 3+ years leading teams, deep expertise in Kubernetes, model serving frameworks, and observability tools.
Build and operate research infrastructure like evaluation frameworks, RL training systems, and experiment tracking platforms. Partner directly with ML researchers to identify bottlenecks, ensure high adoption of tools, and accelerate research velocity.
Staff ML Engineer building CustomerLake, Databricks' Customer Data Platform for enterprise ML/AI personalization, recommendations, churn, and LTV modeling. Requires 10+ years shipping production ML/LLM systems with strong product mindset in 0-to-1 environments.
Quantitative Researcher developing cutting-edge ML and statistical models to identify predictive signals in global financial markets. Requires PhD in a STEM field, strong Python skills, and interest in ML/AI; no finance experience needed. Matched to Alpha Research, Data Science, or Strategy Research teams.
Lead a team developing large-scale RL and ML models for autonomous vehicle behavior planning and driving decisions. Requires RL/ML expertise, production ML pipeline experience, and 3+ years in leadership.
Senior technical IC owning the Modeling to ML Serving to API architecture for Airbnb's Host Pricing platform. Lead unified serving stack, backfill/evaluation infrastructure, and domain contracts between ML modeling and serving teams.
Optimize and deploy large multi-modal foundation models (LLMs, VLMs) for real-time inference on power-constrained vehicle SoCs. Focus on quantization, custom CUDA kernels, TensorRT pipelines, resource allocation, and low-latency concurrent C++ code for autonomous systems.
Build and optimize ML models for candidate-job matching, ranking, recommendations, and marketplace allocation at Mercor. Requires production ML experience with ranking/recommendation systems and strong applied ML skills across the full stack.
Player-coach Technical Lead Manager for AI Systems & Agents at Instabase. Hands-on architect and builder of stateful multi-turn agent loops, secure code execution sandboxes, tool orchestration via MCP, and evaluation harnesses while leading and growing a small elite team of AI engineers.
Sr. Staff ML Engineer building backend systems, statistical models, and experiments to optimize Pinterest's ads marketplace and balance long/short-term objectives. Requires MS/PhD (or equiv), 7+ years experience, strong software engineering and math skills.
Research Engineer advancing Claude's computer use capabilities through experiments, RL environments, evaluations, and infrastructure for perception and agentic tasks. Requires Python, ML training/evaluation experience, and a focus on safe AI.
Lead the cloud ML team at WHOOP developing production algorithms for sleep, recovery, and training insights from wearable sensor data. Manage ML scientists and engineers while driving technical vision, development practices, cross-functional partnerships with hardware and product teams, and ensuring algorithms evolve with new sensors for better member experiences.
Technical leader on Datadog's APM team building and deploying GenAI/ML models for agentic investigations, automated troubleshooting, and incident triaging. Requires 10+ years experience leading large-scale GenAI initiatives end-to-end in product environments.
Lead development of computational infrastructure for large-scale neuroscience research, building real-time stimulus/acquisition systems, high-throughput data pipelines, and cloud tools. Requires exceptional full-stack engineering with real-time systems experience; neuroscience background not required.
Build and own core layers of a scalable Agentic AI platform for autonomous engineering agents at Okta, including agent identity/auth, knowledge/memory, observability, governance/safety, and orchestration. Requires 5+ years backend engineering experience plus AI/agent exposure; strong distributed systems and security knowledge.
Senior Engineer building production-grade applied AI systems, LLM-powered tools, retrieval/memory patterns, and human-in-the-loop workflows to create organizational intelligence for home care operations. Requires Python experience, production system design skills, and cross-functional collaboration.
Research Engineer embedded in large-scale multimodal model training at Black Forest Labs (creators of FLUX). Own performance, stability, and low-precision optimizations for production training runs; profile, debug distributed systems, implement GPU kernels, and partner with researchers to ship frontier generative models.
Build and ship reliable, scalable LLM-powered AI agents for high-stakes legal workflows at an agentic law platform. Requires 4+ years software/AI engineering experience, strong Python skills, production ML/LLM integration experience, and AI fluency.
Research Scientist II building and improving fraud risk models and scam detection systems using audio, behavioral, and metadata signals. Requires an advanced degree and 3+ years of applied ML experience with Python and modern ML frameworks.
Research engineer focused on post-training LLMs and agents for legal work. Requires hands-on experience training open-weight models and strong Python/research engineering skills.
Lead architect and builder of large-scale ASR/NLP/LLM systems for Otter's conversational intelligence products. Owns end-to-end ML lifecycles from research to production deployment, mentoring engineers and setting technical direction.
Lead projects building and deploying large-scale ASR, NLP, and LLM systems for meeting intelligence. Requires 5+ years building production ML systems with PyTorch/JAX and experience with speech/language models.
Build full-stack AI prototypes and agentic systems to pressure-test venture ideas. Requires 3+ years building production AI applications with strong frontend/backend fluency and frontier coding agent expertise.
Technical leader building and scaling production-grade multi-agent AI systems for real-time voice, workflow automation, and enterprise tool execution. Requires 8+ years experience and deep expertise in LLM platforms, agent frameworks, and distributed systems.
Build and evolve auction, bidding, and budgeting ML systems that power Reddit Ads. Design optimization algorithms balancing advertiser performance, user experience, and marketplace efficiency.
Train frontier models to generate polished artifacts (docs, spreadsheets, slides) by owning post-training improvements across RL, data, evals, and alignment. Requires strong ML fundamentals and hands-on LLM/RL experience.
Train frontier models to operate computers, browsers, and desktops. Design experiments, build evals, own post-training pipelines (RL, data, graders), and ship improvements into OpenAI agents.
Train frontier agents to interface with professional software via code, APIs, and structured integrations. Design experiments, own post-training improvements (RL, evals, data), and ship capabilities into major model runs.
Context Researcher on the Agent Post-Training team scaling compute on context for frontier agent models. Designs experiments, owns post-training improvements, builds evals, and ships capabilities into Codex and ChatGPT.
Help shape OpenAI agent personality by turning qualitative collaboration insights into evals, training data, reward signals, and model improvements that reach production.
Improve agentic model capabilities, reliability, and product fit for power users and API developers through evals, training data, and post-training interventions.
Research engineer/scientist building and evaluating vision capabilities for Claude models. Requires 7+ years ML/computer vision experience and work across pretraining, RL, and agentic infrastructure.
Senior engineer building and scaling Mercury's LLM-powered financial assistant Command. Owns full-stack AI product development from system prompts and agentic workflows to eval infrastructure and production reliability.
Build and deploy ML models for entity resolution and knowledge graph expansion on large-scale China-related data. Requires 4+ years clustering ML experience and end-to-end production ML with Python/SQL.
Staff-level AI engineer building and shipping LLM/agent-powered observability features that help users detect, triage, and resolve incidents. Requires strong production software engineering experience plus practical GenAI/LLM skills.
Build and productionize ML systems for real-time bidding, campaign optimization, and incrementality measurement in a CTV ad platform. Requires strong Python, ML fundamentals, and 4+ years experience.
Build AI agents that navigate digital environments and perform user tasks. Requires strong AI/ML experience, Python proficiency, and product intuition.
Research Engineer/Scientist improving model capabilities for personalized AI experiences. Focus on tool-use, instruction following, evaluations, and training improvements. Requires strong ML engineering and research experience.
Improve capabilities, reliability, and product fit of OpenAI's agentic models through research, infrastructure, evals, and training. Work across RL, data, model behavior, and product integration for frontier agents.
Hybrid ML/SRE role owning reliability, security, and safety of a large fleet of generative media model APIs (image, video, audio). Build observability for ML-specific failures, harden deployments, operationalize safety systems, lead incident response, and improve GPU fleet efficiency.
Own the full lifecycle of ML models for risk detection — from data ingestion and pipeline building to LLM/Generative AI model development, deployment, and measuring business impact in a SaaS platform. Requires 5+ years spanning data engineering and production ML.