Data Scientist on the fraud risk team building real-time monitoring, predictive ML models, and risk controls for payments and stablecoins. Requires 3+ years in automated fraud strategies, advanced SQL/Python, and quantitative degree.

Analytics intern supporting go-to-market teams by rebuilding BI dashboards, creating self-service Omni topics, and delivering end-to-end analyses. Requires SQL proficiency, strong data validation and documentation habits, and current undergraduate or graduate enrollment.

Lead a team of data scientists and managers to shape data strategy and measurement for Figma's AI products including LLM-powered assistants. Partner with leadership across Product, Engineering, Design and Research to drive data-driven decisions, build frameworks, and measure impact.

Build and own the production execution and evaluation platform for Supabase's internal AI agents and operating system. Enforce governance through code with risk tiers, durable state, human gates, and comprehensive observability on GCP with Python.

Build and scale trustworthy AI agent infrastructure at Nuro, focusing on closed-loop evaluation, agent runtime/platform with isolation, and autoresearch systems for autonomous AI-driven engineering workflows. Requires deep LLM expertise, production agent experience, and strong backend/distributed systems skills.

Measurement Partner II responsible for designing, executing, and analyzing brand lift studies, incrementality tests, and experiments to prove campaign value for tvScientific + Pinterest advertisers. Requires 3+ years in marketing science/experimentation, strong stats and data skills (SQL/Python/R), and ability to translate complex results into actionable business insights.

Build and ship production LLM-powered features for aviation safety and efficiency, including RAG, tool-calling, evals, guardrails, and monitoring for cost/latency/quality. Requires prior shipped LLM applications, strong production coding, and RAG depth; hybrid in San Carlos with multiple seniority levels available.

Build and own AI-assisted engineering tools, conventions, context layers, and evaluation frameworks inside a large Rails monolith to scale AI usage across engineering, product, and design teams. Requires 7+ years production software experience with recent Rails and LLM-backed system expertise.

The Senior Data Analyst will analyze product data, build Tableau dashboards and scalable Snowflake/dbt models, and deliver actionable insights to guide product strategy and growth. The role requires strong SQL and Python skills, product analytics experience, and 3–5 years of experience.

Build and operate highly available datastore infrastructure and platform tooling for Auth0’s distributed systems. The role requires 5–8 years of software development experience, infrastructure and cloud expertise, and familiarity with databases, reliability, and operations.

Leads architecture and hands-on development of secure, production-grade AI applications, including LLM orchestration, RAG pipelines, agentic experiences, and resilient backend services. Requires 12+ years of software engineering experience, strong Python and frontend expertise, and technical leadership across global teams.

Staff Analytics Engineer owning centralized data assets, dbt/Snowflake modeling, and governance at a high-growth YC-backed SaaS company. Requires 8+ years analytics engineering experience, deep expertise in Snowflake, dbt, advanced SQL, and SaaS subscription metrics to deliver trustworthy data models that drive business decisions.

Senior Cryptocurrency Intelligence Scientist leading complex on-chain research, threat characterisation, and intelligence collection to combat crypto-related financial crime. Requires deep blockchain expertise, data science skills (SQL/Python), AI fluency, intelligence analysis experience, and ability to obtain security clearance.

Build and own Virta Health's data engagement platform that powers Member Marketing and Coverage Eligibility decisions. Design observable, correct data contracts and modernize legacy integrations into event-driven systems while leading technical delivery in a regulated healthcare environment.

Serve as technical SME driving adoption of agentic AI platform across departments. Build AI observability dashboards, govern vendor risks, integrate AI systems, and create repeatable IT workflows for safe, scalable generative AI use.

Builds benchmarks and runs experiments in document AI, then publishes high-velocity technical content like blogs and analyses to drive developer awareness and adoption. Requires strong Python/ML engineering and rapid technical writing skills.

Technical Lead owning architecture, execution, and evolution of an AI-driven telehealth platform built on GCP. Hands-on player-coach role integrating production LLMs, leading a small senior team, and driving scalable distributed systems in a healthcare setting.

Build and own data science initiatives from discovery to production for logistics workflows including pricing, dispatch, routing, ETA prediction, and marketplace balancing. Requires 4+ years experience, strong Python/SQL skills, and the ability to translate ambiguous business problems into measurable ML-driven outcomes in a fast-paced startup.

Staff ML Engineer on Spotify's Personalization team, owning ML models and systems for the Home feed and Shortcuts experience. Build and productionize personalized recommendation systems and agentic AI experiences using LLMs, PyTorch, and large-scale infrastructure; drive experimentation, optimization, and technical direction while mentoring engineers.

Build and operate the platform, runtime environments, and evaluation and observability systems powering Commure’s fleet of autonomous AI agents. The role requires strong Python, Linux, cloud, Kubernetes, and production-reliability experience, plus hands-on experience with LLM-powered agents.

Own and build Zocdoc's marketing measurement strategy and function, including MMM, MTA, incrementality testing, and causal inference. Hands-on leadership of complex models and a team of data scientists to drive B2C/B2B marketing investment decisions for patient acquisition and provider marketing.

Lead and grow a team of data scientists supporting Zocdoc's Provider Products. Drive product strategy, experimentation, measurement, and high-impact analytics for a two-sided healthcare marketplace while building team capabilities and partnering with leadership on key decisions.

Senior analytics role measuring success of countrywide insurance product programs, building monitoring frameworks, predictive models, and dashboards. Requires 10+ years in insurance analytics, expert SQL, Python/R modeling, and stakeholder influence; expected to grow into people management.

Build state-of-the-art end-to-end speech and audio generation systems with a focus on joint audio-video modeling. Own audio representations (VAEs, neural codecs), generative backbones (diffusion/flow-matching transformers), conditioning, alignment for voice cloning and sync with video, plus data flywheel, evaluation, and inference optimization for large-scale multimodal models.

Lead Data Scientist for SMB Ads Growth at OpenAI, architecting end-to-end analytics for targeting, funnel optimization, campaign measurement, and revenue forecasting. Requires 5+ years in ads/growth analytics, ML model deployment (propensity/LTV), strong SQL/Python/R, and experience in 0-to-1 environments.

Build measurement frameworks, benchmarks, and insights for OpenAI's ads demand health, advertiser performance, and marketplace strategy. Partner with Sales and Product leadership to drive growth, diagnose issues via causal methods and experimentation, and translate advertiser feedback into product priorities. Requires 7+ years in ads data science with strong SQL, Python/R, and cross-functional influence.

Senior Data Engineer building and scaling clinical data pipelines, lakehouses, warehouses, and ETL/ELT systems for millions of patients to power real-time healthcare products and AI/ML workflows. Requires 6+ years data engineering experience, strong software engineering fundamentals, and mentoring skills.

Lead the design, architecture, and scaling of Metriport's data platform for ingesting and processing real-time clinical data from millions of patients. Own end-to-end data projects, mentor engineers, support AI/ML workflows, and eventually lead a team while staying hands-on. Requires 8+ years building large-scale data platforms with modern cloud-native tools.

Build and optimize prompts, tools, skills, and memory systems to shape how Perplexity's AI models respond, use tools, and leverage context across products. Requires strong software engineering skills and experience with LLM behavior design.

Data Scientist embedded in Polymarket's Markets team, modeling liquidity dynamics, auditing listings, analyzing market health, and building decision frameworks for prediction market design and liquidity incentives. Requires deep market structure knowledge, Python/SQL expertise, and end-to-end ownership of analyses that directly inform listings and rewards.

Build and ship AI-powered analytics agents, LLM-driven workflows, and intelligence features for Databricks' internal GTM platform (Customer Zero). Requires 7+ years software/AI engineering experience, strong Python/SQL, hands-on LLM/RAG/agents experience, and fluency with AI coding tools like Claude.

Senior Data/ML Engineer owning end-to-end data pipelines, feature platforms, and production ML models that power Sardine's real-time fraud, KYC, and compliance decisions. Requires 8+ years building production data and ML systems with deep Python, distributed frameworks, GCP cloud stack, and fraud/risk domain knowledge.

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.

Research Engineer turning efficient foundation model training research into robust high-performance production systems at Together AI. Optimize large-scale training infrastructure, profile bottlenecks, integrate new models, and productionize novel methods in close partnership with scientists.

Builds production-grade machine learning services and orchestration for conversational AI, coordinating vendor and internal LLM systems. Requires at least two years of ML/software engineering experience, strong Python skills, and familiarity with modern AI architectures and tooling.

Senior Software Engineer building large-scale distributed data systems and pipelines on Scala, Spark, and Databricks to power blockchain analytics and intelligence products that fight financial crime. Requires hands-on Scala/functional programming experience and expertise designing scalable batch/streaming data platforms in the cloud.

Staff Software Engineer on the Data Platform team defining technical direction for large-scale data infrastructure powering fraud detection. Own design of batch/streaming pipelines, set engineering standards, mentor juniors, and partner cross-functionally on scalable, reliable systems in AWS.

Analyzes payment flows and builds automated reporting, reconciliation, and dashboard solutions supporting finance, accounting, compliance, and product teams. Requires a relevant bachelor’s or master’s degree, 4+ years of large-dataset analytics experience, extensive SQL, and data warehousing or ETL expertise.

Lead the ML infrastructure layer with focus on optimizing GPU inference performance for real-time onboard and high-throughput offboard autonomous driving applications. Requires deep experience with PyTorch, C++, GPUs, distributed systems, and performance optimization.

Build and own blockchain network infrastructure, SDKs, and platform APIs that abstract complexity for Coinbase's data platform users. Lead initiatives on chain integrations, data migrations, and distributed systems while maintaining APIs, SLOs, and on-call responsibilities. Requires 5+ years software engineering experience with distributed systems and blockchain/crypto infrastructure.

Build, scale, and optimize data pipelines and infrastructure that transform raw events into actionable intelligence for analytics, BI, and business decisions. First dedicated data engineer on a small data team; own ingestion, transformation, semantic layer, and mentor analysts/scientists. Requires 5+ years software engineering with data emphasis, expert SQL, and data warehouse experience.

Lead the design and scaling of LeafLink's data platform and analytics infrastructure. Build reliable pipelines and data models using Airflow, dbt, Python, and AWS to support decision-making across the organization. Requires 8+ years building production data pipelines.

Associate Quantitative Trader monitoring automated trading systems, building data pipelines and analytics, and performing statistical analysis to improve market-making strategies in fixed income and expanding asset classes. Requires strong Python/SQL, statistics, and financial markets passion; bachelor's in quantitative field.

Lead and grow a team of data engineers responsible for Dropbox's core data platform pipelines, self-serve analytics, data quality, reliability, and cost efficiency. Requires 8+ years data engineering experience and 3+ years managing teams, with deep expertise in modern data stacks.

Build RL environments, verifiers, fine-tuning pipelines, and eval systems for frontier AI agents at Labelbox. Requires deep RL post-training experience (SFT + RL methods), strong Python/systems engineering, and the ability to ship production infrastructure at high velocity.

Own marketing funnel reporting, monitoring, and insights that guide campaign, channel, and pipeline decisions. The role requires 5+ years of analytics experience, strong SQL, marketing-funnel expertise, BI dashboarding, and cross-functional collaboration with marketing, sales, finance, and data teams.

Build and deploy production ML models and intelligent services (including LLMs and RAG) that automate healthcare workflows at Plenful. Requires 5+ years ML/software engineering experience, strong Python skills, and familiarity with modern MLOps and cloud infrastructure.

Senior AI Research Engineer building and training ML models (LLMs, speech recognition, TTS) to enhance Duolingo's language learning via video calls. Requires advanced ML experience, leadership skills, and an advanced degree or equivalent.

Senior Data Scientist leading measurement, modeling, evaluation, and experimentation for Traba's agentic AI platform in industrial supply chain operations. Own agent quality metrics, build statistical/ML models, design experiments proving causation, and deliver insights to leadership and operations teams. Requires 4+ years data science experience including 2+ years with LLMs/agents.

Lead the design, architecture, and development of scalable data infrastructure and platforms at Twilio. Requires 10+ years software engineering experience including technical leadership, deep expertise in big data technologies (ClickHouse, Kafka, Spark), cloud (AWS), and infrastructure-as-code tools.