Build and scale ML infrastructure platform for autonomous vehicle development, focusing on automated resource provisioning, high-performance workload scheduling, and petabyte-scale data processing pipelines.

Build and scale ML infrastructure platform for autonomous vehicle model development, focusing on automated resource provisioning, high-performance workload scheduling, and petabyte-scale data processing pipelines.

Build and optimize ML infrastructure for autonomous vehicles, focusing on model optimization, compilers, and deployment across the autonomy stack. Requires 2+ years in ML optimization and strong Python/C++/CUDA skills.

Build and optimize ML infrastructure for autonomous vehicles, focusing on model optimization, compilers, and deployment of large models to Nuro's self-driving fleet. Requires 3+ years ML optimization experience and strong Python/C++/CUDA skills.

Build and own algorithmic systems that evaluate providers, make recommendations, and optimize healthcare outcomes for cost, quality, and access. Requires 3+ years shipping data-driven algorithms to production.

Lead data science strategy and architecture for scalable analytics and ML systems. Design data architectures, evaluate novel data sources, establish analytical methodologies, and bridge R&D to production.

Lead optimization research applying large-scale constrained optimization and ML to real-time trading decisions. Requires 5-10+ years experience, strong math/ML background, production coding skills, and PhD-level coursework.

Senior Data Scientist on the CX Analytics team owning revenue calibration models, causal inference experiments, and LLM-powered classification pipelines to connect customer support interactions to business outcomes.

Forward Deployed Data Scientist deploying NEXUS (Large Tabular Model) into customer production environments. Works end-to-end from data engineering and model benchmarking through last-mile integration and stakeholder communication.

Optimizes end-to-end machine learning inference performance across kernels, compilers, systems, and clusters. The role requires strong computer architecture knowledge, experience with performance modeling and profiling, and proficiency in C++ and Python.

Senior Data Engineer to own foundational data model, set standards for testing/documentation/alerting, build ingestion pipelines with dbt/Fivetran/Python, and architect governance for a regulated wealth management platform.

Own analytics for User Operations at Harvey, building dashboards and reports on cSAT, TTR, QA, and AI-driven support metrics. Requires 3-5 years analytics experience with 2+ years in support ops, strong SQL, and dashboarding skills.

Builds and leads production-grade AI-powered conversational systems, including orchestration services connecting LLM frameworks, vendor AI, internal agents, and human workflows. Requires at least five years of machine learning and software engineering experience, strong Python skills, and expertise in modern generative AI architectures.

Build the AWS-based AI Operations platform that hosts, governs, and secures Hi Marley’s internal agents and tools. The role requires principal-level systems expertise, deep AWS and identity authorization knowledge, production LLM experience, and strong product and communication skills.

Conduct optimization research and implement large-scale constrained optimization models that drive real-time trading decisions, working across the full research lifecycle from theory to production. Requires PhD-level coursework and strong applied research background in optimization.

Senior IC building and maintaining ML underwriting and credit decisioning models for Cash App Borrow and Afterpay. Owns full modeling lifecycle including experimentation, calibration, deployment, and monitoring.

Staff AI Engineer building and deploying production AI agents, data pipelines, and ML features for a platform serving 70M+ users. Requires 6+ years experience with AI engineering, MLOps, and data-intensive systems.

Founding ML Engineer building production ML systems for governance, security, and agentic platform capabilities at Docker. Requires 5+ years applied ML experience shipping systems and 4+ years backend/infra engineering.

Senior BI Analyst driving product strategy through analytics, measurement, and insights for Product, Engineering, and Leadership teams. Owns KPI frameworks, product telemetry, experimentation analysis, and data storytelling to influence roadmap and business outcomes.

Build and optimize scalable machine learning systems and AI-powered customer support products, taking initiatives from concept through production. The role requires 4+ years of ML engineering experience, advanced technical expertise, and fluency in English and Mandarin.

Own the policy framework and agent harness for an AI underwriting agent. Design configurable policies, build evals, and ship production LLM/agentic systems. Partner with ML engineers and product leadership on the agentic roadmap.

Senior BI Engineer owns end-to-end data products, semantic layers, and dashboards that power decisions across Engineering, Product, Finance, Marketing, and Operations. Requires deep SQL and modern data stack expertise plus proven experience integrating AI tools into daily workflows.

Staff ML Engineer leading end-to-end identity verification ML systems including document authenticity, face matching, liveness detection, GNN-based identity graphs, and behavioral risk models. Requires 8+ years production ML experience and domain expertise in biometrics or fraud detection.

Technical lead for the shared, accelerator-agnostic inference runtime serving Claude. Owns architecture, performance, and validation for GPU/TPU/Trainium platforms in a high-scale distributed systems environment.

Design, build, and maintain LLM integrations powering AI features. Own end-to-end delivery from requirements through production monitoring with focus on scalability and reliability.

Finance Data Scientist building data models, reporting systems, and forecasts to support financial reporting, strategic decision-making, and investor communications at a public SaaS company.

Staff-level Data Infrastructure Engineer to architect and evolve the data platform (Snowflake, ingestion, orchestration, CI/CD, AWS infra) serving analytics, product, and ML teams. Requires 10+ years building scalable data platforms and proven technical leadership.

Founding Staff ML Engineer building production ML systems for governance, security, and agentic platform capabilities at Docker. Owns architecture, data pipelines, evaluation, and model lifecycle while mentoring the growing team.

Lead and scale Headway's data engineering team, owning architecture for data warehouse, pipelines, dbt transformations, and orchestration to power analytics, ML, and operations. Requires 8+ years data engineering experience and 3+ years managing teams.

Principal Engineer setting technical vision and building AI/ML infrastructure for Generative AI and Recommender Systems at Pinterest, scaling to hundreds of millions of inferences per second. Requires deep expertise in distributed systems and proven cross-org technical leadership.

Partner with cross-functional teams to translate business questions into analytical outputs. Build and maintain data models in SQL and dbt, create dashboards in Metabase, and use Python for deeper analysis.

8-month modelling residency embedded in production and research projects, focusing on adaptive algorithms, real-time learning, model efficiency, and cross-stack optimization. Requires Python, deep learning frameworks, and ML optimization experience.

Post-doctoral researcher conducting independent and collaborative AI/ML research focused on high-impact domains like medicine, finance, and law. Requires a recent or imminent PhD and publications in top venues.

Research Engineer advancing Claude's code generation capabilities through reinforcement learning. Design RL environments, build verifiers, run training experiments on frontier models, and improve training pipelines for real software engineering tasks.

3-month research fellowship for early-career researchers working on frontier Multimodal LLMs, generative modeling, and real-time audiovisual AI. Own a research problem in pretraining, post-training, RL, evaluation, or multimodal modeling. Strong PyTorch and first-author tier-1 paper required.

Build and fine-tune vision-centric VLMs and generative models using Pinterest's visual-text datasets. Requires 2+ years industry computer vision experience and an M.S. or Ph.D.

Build and scale Snowflake's Cortex Training LLM post-training platform, handling distributed GPU scheduling, orchestration, and productionizing research for enterprise-scale model adaptation.

New/recent PhD to own RL and post-training for large-scale omni models. Build and scale the full RL/post-training stack including rollout, optimization, reward modeling, and evaluation for real-time audiovisual AI.

Early-career engineer optimizing inference for real-time multimodal AI avatars. Focus on KV cache strategies, serving frameworks, quantization, and latency reduction for LLMs and diffusion models.

Lead projects building and deploying large-scale ASR/NLP/LLM systems for meeting intelligence. Architect training, fine-tuning, and inference pipelines using PyTorch/JAX and own ML systems from research to production.

Develops and optimizes computer vision algorithms for aerial object detection and tracking in defense systems. Requires Master's/PhD, 2+ years experience in CV/deep learning, Python/C++/OpenCV/PyTorch expertise.

Designs and deploys end-to-end ML pipelines and MLOps practices for AI-driven counter-drone systems in defense applications. Requires 5+ years ML engineering experience, Python/C++ proficiency, cloud/containerization, and computer vision expertise.

Hands-on technical leader building AI/ML-powered intelligence products and next-best-action systems for GTM and Technical Success teams. Defines metrics, models, and decision systems to drive customer adoption, expansion, and retention.

Lead analytics and experimentation for autonomous driving evaluation. Hands-on with statistical analysis, metrics definition, and pipeline automation while mentoring analysts and shaping team direction.

Staff ML Engineer setting technical direction for autonomous mineral refining using reinforcement learning and simulation. Owns modeling, validation, and deployment of control systems on live industrial equipment.

Build and deploy reinforcement learning models to autonomously control mineral refining facilities, optimizing recovery rates, energy use, and uptime in real operating plants.

Senior Data Engineer owning end-to-end data domains for industrial plant operations. Designs pipelines, schemas, and contracts from messy sensor/lab sources to support ML and operational decisions.

Lead and grow a data science & analytics team that partners with Product, Marketing, Sales, and CX to drive forecasting, experimentation, behavioral analytics, and measurement at a B2B SaaS company.

Lead multi-year vision and architecture for data governance and quality at scale. Define best practices, tooling, and culture while coaching senior engineers and influencing executive strategy on compliance and data integrity.

Lead causal inference and marketing mix modeling efforts to measure and optimize marketing investments. Requires 4+ years experience, advanced degree, and expertise in Python, SQL, and production environments.