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 statistical pipelines.

Senior Analyst on the Product Analytics team driving data-informed product decisions through funnel analysis, A/B experimentation, and statistical modeling. Partners with PMs, engineers, and cross-functional stakeholders to quantify opportunities and influence product strategy.

Staff Data Scientist driving ads product strategy and data-driven decision-making at Pinterest. Partners with product, engineering, and finance teams to translate business questions into analytical solutions and maintain data quality.

Lead the technical direction and team for Justworks' core data platform. Own architecture, infrastructure, and standards for pipelines, orchestration, and data governance while managing managers and ICs.

Growth Product Scientist partnering with PMs, engineers, and marketers to drive acquisition, activation, and retention through experimentation, causal analysis, and self-serve analytics tooling.

Build and optimize AI agent orchestration and reasoning systems for the insurance industry. Requires 6+ years in ML/AI, strong Python skills, and exceptional LLM prompting ability.

The Data Analyst II develops dashboards, self-service tools, and ad hoc analyses that help Sales, Operations, Product, and Finance teams make data-driven decisions. The role requires 4+ years of analytics experience, strong SQL and Python skills, and proficiency with business intelligence tools.

Build and operate production multi-agent AI systems that turn longitudinal health data into actionable clinical recommendations. Requires 6+ years building production ML or backend systems plus 1+ years building agentic AI.

Leads development and deployment of machine learning, perception, and planning systems for defense-focused autonomous vehicles. Requires 5+ years of production software experience, strong C++ or Python skills, deep learning expertise, and eligibility for UK Security Clearance.

Develop tracking, fusion, and state-estimation algorithms for unmanned autonomous systems, taking them from research concepts to deployable production software. The role requires a bachelor's degree, 5+ years of relevant experience, strong C++ and Python skills, and eligibility for UK security clearance.

Build and productionize AI/ML systems including recommendations, natural language interfaces, and agentic workflows for Sigma's data analytics platform. Requires 10+ years experience across the full ML lifecycle and foundation model expertise.

Build and productionize AI/ML systems including recommendations, NLP interfaces, and agentic workflows. Requires 10+ years building production-grade AI/ML systems and experience with foundation models.

Graduate research intern (MS/PhD) building Customer World Models and proactive intelligence systems using representation learning, RL, and agentic decision-making. Own research end-to-end from framing to production deployment.

Leads original statistical machine learning research for financial market prediction and portfolio optimization while setting a team’s research agenda, mentoring researchers, and guiding projects through evaluation and productionization. Requires strong mathematical foundations, research leadership experience, and Ph.D.-level coursework.

Build and productionize large-scale recommendation systems, NLP/embedding models, and agentic AI workflows. Requires 6+ years ML/NLP experience and expertise in PyTorch/TensorFlow, RAG, and vector search.

Staff-level engineer building LLM/ML systems for clinical documentation review, risk detection in healthcare claims, and provider-patient matching at a mental healthcare platform.

Staff Data Platform Engineer building and leading AWS-native data platform architecture, orchestration, governance, and AI-readiness for analytics and ML workloads. Requires 8-10+ years experience with AWS data systems and strong technical leadership.

Staff Software Engineer building and scaling Databricks' managed large-scale GPU training platform (AIR). Focus on distributed training performance, scheduling, fault tolerance, and developer experience for thousands of accelerators.

Senior Software Engineer building and scaling Databricks' managed GPU training platform (AI Runtime) for large-scale distributed AI model training. Requires 5+ years in distributed systems and hands-on experience with GPU training frameworks.

Build and maintain distributed inference systems serving Claude to millions of users. Design intelligent routing, autoscaling, and high-performance infrastructure across diverse AI accelerators.

Build and prototype diffusion-based text-to-image generative models (Pinterest Canvas) using large-scale visual-text datasets. Requires 5+ years industry computer vision experience and an M.S. or Ph.D.

Own data models, metrics, and dashboards that leadership, growth, finance, and operations rely on. Build dbt models, design BI dashboards, and enable self-serve analytics in a production environment.

Lead ML architecture and implementation for Airbnb's Messaging & Notifications, building recommendation engines, ranking systems, and LLM-powered experiences while mentoring engineers.

Senior AI/ML Engineer building transformer and deep learning models on financial and behavioral data to power personalized growth and marketing experiences at Chime. Requires strong production ML experience with PyTorch, AWS, and large-scale data infrastructure.

Lead and hands-on manage a Product Data Science team focused on app experience, marketplace, and AI-native product features. Drive AI evaluation, agentic services, and mentor team on ML/LLM best practices.

Senior engineer responsible for data infrastructure powering product usage tracking, billing, and CRM integrations. Requires 8+ years experience with PHP/Laravel, AWS, relational databases, and React.

Staff-level AI/ML engineer building and productionizing generative AI features across backend and frontend for Cribl's observability platform. Requires 6+ years experience, AI/ML and MLOps background, and TypeScript/JavaScript proficiency.

ML Engineer building and optimizing production recommendation, ranking, and personalization systems that integrate LLMs for Perplexity's AI product.

Build next-generation training infrastructure for physical AI models that perceive, reason, and act in structured environments. Lead development of representation models, latent world models, and policy optimization systems.

Data Scientist focused on designing and implementing quantitative metrics to evaluate autonomous vehicle behavior using large-scale logs and simulation data.

Optimize inference for real-time multimodal AI avatars. Specialize in LLM and diffusion model serving, KV cache strategies, quantization, and low-latency frameworks like vLLM and TensorRT-LLM.

Build and operate large-scale multimodal data pipelines for AI avatar model training. Design production-grade systems for petabyte-scale video, audio, and text data.

Own RL and post-training infrastructure for omni foundation models. Build and scale rollout, reward, and policy systems from 0→1 for real-time audiovisual AI.

Research Engineer training and scaling flagship open multimodal and agentic models (Olmo, Molmo). Owns end-to-end ML infrastructure, model development, and open-source releases.

Staff-level engineer leading design and development of Pinterest’s exabyte-scale data lake storage platform using Iceberg and related big data technologies to support ML/AI workloads.

Build and maintain canonical safety datasets and self-serve dashboards that enable Engineering, Research, and Data Science teams to independently analyze safety metrics and inform product decisions.

Staff Applied Scientist defining evaluation strategy and quality metrics for Datadog's AI-native Dashboards product. Owns ML/GenAI evaluation systems, builds datasets and harnesses, and drives improvements in retrieval, tool selection, and agent performance.

Lead end-to-end data validation for investment portfolios, building scalable analytics in Databricks and writing Python logic to detect anomalies. Requires 2+ years in tech/finance/consulting and hands-on experience with complex investment datasets.

Research Engineer/Scientist building vision-language pipelines and data systems for robot learning. Focus on turning egocentric/teleoperation video into high-signal training data for VLAs and world models.

Own and scale the distributed training infrastructure for large-scale omni model pretraining across GPU clusters, covering job orchestration, parallelism, GPU communication, data loading, and performance optimization.

Leads the design, productionization, and continuous improvement of AI-native products and platform capabilities, including LLM and agentic systems. Requires extensive software engineering experience, production system ownership, and a technical degree or equivalent experience.

Senior backend/infrastructure engineer expanding Sentry's time-series data platform (Snuba/ClickHouse) to handle petabyte-scale events with sub-second latency. Requires 4+ years experience and distributed storage expertise.

Partner with Marketing to analyze data, build narratives, and create content across blogs, reports, and landing pages. Requires 2+ years as a Data Analyst with strong SQL/Python skills and customer-facing experience.

Researcher developing and scaling architectures and optimization techniques for flagship large language models. The role requires experience contributing to major LLM training runs, strong knowledge of inference and Transformer efficiency, and an empirical approach to experiments and debugging.

Senior engineer building data pipelines and tooling to curate large-scale autonomy datasets from drone logs and media for ML model training. Requires 5+ years experience, strong Python/C++ skills, and production data pipeline expertise.

Leads the design, development, integration, and field validation of tactical autonomy software for unmanned platforms across air, land, and sea domains. Requires 12+ years of industry experience, advanced engineering education, strong C++ and Python skills, and hands-on autonomy or robotics experience.

Architect and build multi-task, multi-objective ranking systems that unify search, recommendations, ads, and merchandising. Design long-horizon value models, causal inference systems, and low-latency inference layers while mentoring ML engineers.

Part-time student worker building and validating a driving risk assessment system and experimental RAG pipeline for autonomous vehicle behavior testing. Requires Python, ML/stats, and data skills; 40 hrs/week onsite hybrid commitment.

As a Staff Engineer for Search, you will build and scale Databricks' next-generation Search product, driving the design and evolution of a highly-performant, cost-efficient, and developer-friendly Search stack. You will also define the long-term vision, mentor senior engineers, and lead strategic efforts.

As a Research Engineer, you will conduct and enable cutting-edge research, translating it into the core product pipeline. You will develop and improve state-of-the-art data curation strategies, accelerating research and ensuring product innovation.