Senior ML engineer building perception systems for autonomous vehicles at Nuro. Apply SOTA deep learning to detection, tracking, sensor fusion and intent prediction; own problems from POC through onboard deployment and monitoring. Requires recent autonomous driving ML experience plus strong Python/C++ skills.

Build and improve AI agent experiences and conversational knowledge engine for Otter AI Chat. Focus on quality evaluation, infrastructure for orchestration/tracing, diagnosing failures across the stack, and driving measurable improvements in AI systems from traces and feedback. Requires 3+ years AI/ML engineering, strong backend/distributed systems skills, and experience shipping LLM-powered products.

Build and improve AI agent experiences and conversational knowledge engine for Otter AI Chat. Focus on quality evaluation, infrastructure for orchestration/tracing, diagnosing failures across the stack, and driving measurable improvements in task completion, reliability, and cost. Requires 5+ years AI/ML engineering, strong backend/distributed systems skills, and experience shipping LLM-powered products.

Own end-to-end multi-million-dollar code data programs for frontier AI labs. Decompose model weaknesses, design human/synthetic/hybrid data pipelines, manage expert teams, and serve as the trusted technical partner to researchers. Requires strong coding literacy, ML familiarity, and operational ownership to deliver high-quality data under tight timelines.

Product Analyst responsible for SLA monitoring, operational analytics, provider lifecycle management, and driving automation initiatives. Partners with product, engineering, and operations teams to build dashboards, investigate issues, and optimize workflows using SQL, Python, and metrics-driven insights. Requires 2-4 years in business/product operations or data analysis.

Build and operate backend services for AI and model inference on Confluent's real-time streaming data platform. Own end-to-end feature delivery across model lifecycle, inference routing, and agent execution with strong distributed systems expertise.

Lead design and development of Harvey's Model Infrastructure platform powering all AI requests, including unified model controller, intelligent routing, multi-provider integrations, observability, and capacity management for high reliability, low latency, and efficiency. Requires 7+ years building large-scale distributed systems with strong programming and leadership skills; AI/LLM infrastructure experience preferred.

This role supports forecasting and capacity planning for Lyft’s global customer support organization, translating operational data into staffing recommendations and business insights. It requires at least two years of analytical planning experience, SQL and Python proficiency, AI fluency, and a quantitative bachelor's degree.

OpenAI is hiring across multiple disciplines to design, build, scale, and operate its global compute infrastructure powering frontier AI models like GPT-5.6. Roles span distributed systems, ML infrastructure, hardware, manufacturing, supply chain, data center development, and physical engineering systems.

Serve as the research expert for Anthropic's Recruiting organization on the People Data Solutions team. Design and execute studies on recruiting funnels, interview validation, psychometrics, and candidate experience to drive evidence-based hiring decisions using SQL, Python/R, and advanced analytics.

As a Data Scientist on the Core team at Pinterest, you will apply quantitative modeling, experimentation, and ML to shape people-facing and business-facing products. You will collaborate cross-functionally with Product, Engineering, Design and Research to drive insights and scientific rigor for products used by hundreds of millions of users.

Join Chronograph's Data Operations team to manage and structure data from private capital reports, perform financial analysis, and conduct research on alternative assets. Ideal for detail-oriented, motivated professionals seeking to build expertise in private equity and fintech.

Build and own a mission-critical research platform for evaluating AI model capabilities and behaviors at xAI. Design instruments, datasets, grading schemes, and infrastructure to measure, diagnose, and improve models while shipping delightful internal tools.

Build and evaluate production AI agent harness systems for biomedical discovery. Own multi-agent coordination, planning, tool use, memory, rigorous evaluations, and infrastructure for reliable scientific agents. Requires strong backend/ML engineering and quantitative judgment.

Research Engineer building and deploying production conversational AI models and agents at Decagon. Improve instruction following, retrieval, memory, and long-horizon task completion; take research prototypes to measurable production impact using LLMs and ML tooling.

Build and optimize AI agents for legal workflows at Harvey. Design environments, actions, evaluations, tools, and infrastructure for high-performance domain-specific agents using LLMs.

Research Engineer/Scientist on OpenAI's Personal AGI Model Experience team, shaping ChatGPT's character, behavior, and human-AI interactions through research, human data, evaluations, reward models, and post-training. Requires strong ML engineering and research experience with large models.

Founding engineer building an AI-native platform to automate Coinbase's finance workflows (period-close, reconciliation, regulatory filings). Architect governed LLM agents with SOX-compliant controls, integrate with ERP systems, and set technical direction for FP&A/Treasury as an embedded engineer.

Owns technical delivery of solver pilots and develops production-grade optimisation capabilities for supply chain and operational planning. The role combines mathematical modelling, Python-based solver benchmarking, customer implementations, and collaboration with engineering, data science, and solver vendors.

Develops and productionizes NLP and LLM algorithms and agentic workflows for analyzing medical text and supporting clinical decision-making. The role requires at least five years of Python-based algorithm development experience and strong production AI engineering skills.

Build and scale GPU compute infrastructure, training frameworks, data pipelines, and ML platforms to power large-scale training and inference at xAI. Requires strong distributed systems and ML infrastructure experience plus Python proficiency.

Strategy & Analytics Associate who conducts client discovery, builds data-backed ROI analyses and presentations, and supports sales teams with fraud and identity solution value quantification to accelerate partner adoption. Requires 3-5 years analytical experience in consulting, banking, or startups, strong SQL/Python skills, and executive presentation abilities.

Builds executive and operational dashboards while developing the SQL-based analytics datasets beneath them. The role partners with business and executive stakeholders to deliver governed, accurate, self-service insights across the enterprise.

Conducts research on diffusion, vision-language, and vision-language-action models for autonomous construction robots. The role requires deep-learning R&D experience or advanced graduate training, strong multimodal AI expertise, scalable data workflows, and model optimization for edge deployment.

Sr. Financial Operations Insights Associate building automated workflows, reporting, and optimizations for Rula's financial ops to support mental healthcare providers. Requires 3+ years in data analytics/automation, strong SQL/Excel skills, and workflow analysis experience.

Lead Economist building EliseAI's housing economics research function. Transform proprietary rental data into benchmarks, narratives, and thought leadership to position the company as the authority on housing markets. Requires 3-6 years in economic research/analytics, strong data storytelling, SQL/Python skills, and onsite presence in NYC.

Senior Streaming Software Engineer building and operating high-throughput real-time data pipelines and streaming platforms (Kafka, Flink etc.) for observability, logs, metrics and traces across Crusoe's large-scale AI GPU cloud and data centers. Requires strong distributed systems and backend engineering experience.

Software Engineer building scalable ML data platform infrastructure including data lakes, dataset generation, model training, analytics and monitoring systems at large scale (1.5B inferences/sec). Requires 6+ years experience with strong Python/Golang and CS fundamentals.

Build and own ML infrastructure, data pipelines, and tooling for Safeguards research at Anthropic. Focus on fast researcher iteration for training/evaluating lightweight detectors on model internals while ensuring correctness at scale. Requires strong Python, distributed systems, and production infrastructure experience.

Staff Product Data Scientist on Cash App's Lending team building, measuring, and improving credit products (Borrow, Afterpay, Square Loans). Partners with product/risk/engineering to define metrics, run experiments, analyze customer behavior using AI tools, and drive decisions for underserved customers.

Data Analyst owning end-to-end KPIs, dashboards, and deep-dive analyses to drive business decisions at a healthcare technology company. Requires 3+ years in analytics, strong SQL and modern data stack skills (Snowflake/dbt preferred), BI tools experience, and comfort using AI agents.

Senior Data Analyst owning end-to-end KPIs, dashboards, and deep-dive analyses to drive business decisions at a healthcare technology company. Requires 5+ years in data analytics, strong SQL/Snowflake skills, BI tool experience, and comfort using AI agents.

Data Analyst III responsible for owning end-to-end client-facing healthcare reporting and analysis, building scalable automations, partnering with stakeholders on insights, and leveraging AI for analytics and dashboards. Requires 3+ years in data analytics, strong SQL/Snowflake skills, automation mindset, and AI familiarity.

Senior technical leader defining autonomy strategy and architecture for new platforms in space, maritime, and contested logistics. Owns end-to-end development and integration of mission behaviors, control, coordination, and executive autonomy from simulation through live tests; requires 10+ years experience and expert C++ skills.

Lead technical delivery of first-of-a-kind autonomy solutions for new platforms in space, maritime, and contested logistics domains. Own end-to-end integration from simulation to live tests, influence architecture across teams, and provide on-site mission support in ambiguous, evolving environments.

Build and optimize the end-to-end LLM inference stack for production deployments. Profile and tune serving frameworks (vLLM/SGLang) and CUDA kernels for latency, throughput and cost; partner directly with customer teams to take workloads from POC to monitored production.

Develop and integrate autonomy software for emerging platforms in space, maritime, and contested logistics. Integrate existing capabilities, develop new mission behaviors and controls, own end-to-end testing from simulation to live exercises, and support field operations (10-20% travel). Requires 5+ years experience with C++ and embedded/real-time systems integration.

Senior technical leader defining autonomy architecture and integration strategy for launched effects platforms in multi-agent, often disconnected environments. Owns end-to-end development, fielding, and operational support of mission behaviors, platform control, and fleet-scale autonomy for defense customers.

Own technical direction for Expeditionary autonomy portfolio on V-BAT and X-BAT unmanned aircraft platforms. Define long-term strategy, lead complex integration of mission behaviors, flight interfaces, payloads, and multi-agent operations while mentoring senior engineers and influencing cross-team architecture.

Staff R&D Software Engineer building the governed context layer (Agents Schema and Context Builder) for trustworthy AI agents. Research AI techniques, prototype, ship full-stack production features, own reliability/SRE/QA, define technical direction across teams, and mentor others in a startup-like environment.

Staff R&D Software Engineer building the governed context layer (Agents Schema and Context Builder) for trustworthy AI agents. Research AI techniques, prototype and ship production backend/frontend features, own reliability/SRE/QA, define technical direction across teams, and mentor others in a fast-moving startup-like environment.

Leads high-stakes financial and compliance reporting, building scalable workflows, documentation, and automation while managing stakeholders and mentoring junior analysts. Requires a bachelor’s degree, 5+ years of relevant experience, advanced SQL, and experience with BI tools such as Tableau.

Perception Engineer owning outcomes for autonomous mining vehicles. Responsible for sensor selection, model adaptation to new sites/domains, diagnosing failures, data strategies, and translating customer needs into technical KPIs and solutions. Requires strong systems understanding of perception/full stack and real-world deployment experience.

Own the architecture and standards for Cribl's analytics engineering platform using dbt. Build certified models, semantic layers, and governance practices to power trusted analytics, reporting, and AI decision-making across the business.

Analytics Engineer responsible for extending core data models, designing scalable pipelines focused on market data, and owning data observability for Pave's compensation intelligence products. Requires 4+ years in data/analytics engineering, proficiency in dbt and Airflow, and experience with ML workflows in a product-facing role.

Build and scale distributed reinforcement learning infrastructure for post-training large multimodal foundation models, including rollout generation, environments, rewards, and evaluation systems for agentic tasks.

Senior Data Analyst who owns data pipelines, builds dbt models, performs proactive analysis on subscription and acquisition metrics, and delivers actionable insights and narratives to leadership and cross-functional teams. Requires strong SQL, Python, dbt, and business intuition.

Build secure infrastructure, control planes, developer tools, and observability for production AI agents. The role requires 6+ years of software engineering experience, strong Python and backend expertise, AWS, distributed systems, AI agent development, and security engineering experience.

Build and deploy AI-powered internal tools and shared infrastructure to automate workflows and boost productivity across engineering, product, operations, and business teams at a frontier AI compute infrastructure company. Requires 3+ years production software engineering, full-stack skills, and deep hands-on experience with LLMs, agents, and AI coding tools.

Senior Pricing Data Scientist role combining quantitative analysis, customer research, and strategy to shape Fivetran's pricing, packaging, and monetization. Requires 5-8 years in SaaS/B2C pricing models, advanced degree in Economics/Statistics or similar, SQL/Python fluency, and experience with pricing experiments and surveys.