Build and operate AI-driven workflows, integrations, model-routing systems, and agent infrastructure across business and engineering functions. The role also supports model evaluation, AI cost optimization, governance safeguards, and organization-wide training.

Conducts hands-on medicinal chemistry research to evaluate AI-generated molecules and synthetic routes, advancing small-molecule programs from design through experimental validation. Requires a chemistry PhD, sustained synthetic experience, and cross-functional collaboration skills.

Build and operate the data foundations behind AI safeguards, including production pipelines, data stores, governance controls, and internal tooling. The role requires strong Python and SQL skills, production data-platform experience, and expertise in reliable, privacy-conscious systems across multiple cloud environments.

Build and ship production AI agents and the platform infrastructure that makes them reliable, steerable, and measurable. The role requires strong backend fundamentals, production LLM or agent experience, and expertise in evaluations, retrieval, orchestration, or tool-use design.

Research Engineer developing and deploying machine-learning algorithms for autonomous driving and robotics systems. The role targets recent MS or PhD graduates with experience in areas such as foundation models, diffusion policies, reinforcement learning, computer vision, and robotics.

The Data Scientist will serve as an embedded analytical partner to product and business leaders, owning experimentation, causal inference, predictive modeling, and metric design. The role requires 5+ years of data science experience, expert SQL and Python, strong statistical foundations, and the ability to influence strategic decisions.

Build and ship production machine-learning systems that learn from customer data and behavior, including recommendations, LLM-powered features, evaluation systems, and ML infrastructure. The role requires 5+ years of ML engineering or ML-heavy software engineering experience and strong production systems expertise.

Build customer-facing data products and shared platform systems that transform conflicting, constantly changing sources into reliable, searchable information. The role requires 8+ years of hands-on engineering experience, strong Python and SQL skills, and ownership of product quality, reliability, and delivery.

Builds and productionizes machine learning systems for trust and safety, including abuse detection, autonomous AI agents, and evaluation frameworks. The role requires 5+ years of applied ML experience, strong Python skills, experience with LLMs and scalable pipelines, and a relevant advanced degree or equivalent background.

Build and productionize applied AI/ML systems for document understanding, agentic workflows, and demand forecasting using rich, messy enterprise data. The role requires 3+ years of production AI/ML experience, strong evaluation and monitoring practices, and a STEM master’s degree.

Manages the full lifecycle of scientific research data, including governance, metadata, repositories, open-science publishing, and AI/ML compatibility. The role also builds partnerships with federal research organizations and requires a bachelor’s degree plus 5–7+ years of relevant experience.

Own complex analyses, experimentation, statistical modeling, and KPI frameworks that guide product and business decisions. The role requires 5+ years of data science or applied analytics experience, strong SQL and Python skills, quantitative expertise, and the ability to influence cross-functional stakeholders.

Research Engineer improving the capability, efficiency, and reliability of autonomous AI agents through benchmarks, experiments, prompting, model optimization, and post-training. The role requires 4+ years of ML/AI research experience, strong software engineering skills, and a master’s or Ph.D. in a relevant scientific field.

The data scientist will lead causal inference, experimentation, statistical modeling, and machine-learning efforts to optimize payments, mitigate fraud, and guide product strategy. The role requires 5+ years of quantitative industry experience with a master’s degree, or 3+ years with a PhD.

Builds secure, vendor-agnostic agent platform primitives, evaluation tooling, safety controls, retrieval systems, and production workflows. Requires 2+ years of software engineering experience plus strong foundations in LLMs, agentic AI, GPU computing, model serving, and distributed systems.

The Senior Data Engineer will build scalable pipelines, ETL workflows, and data products while partnering with analytics, product, and engineering teams. The role requires 8–10+ years of experience, strong SQL and programming skills, cloud data-platform expertise, and a focus on reliability, quality, and automation.

Leads end-to-end quantitative research and user-centered metric development for Pinterest’s consumer experience, partnering closely with Data Science and Engineering. The role requires 7+ years of experience, expertise in survey methodology, experimentation, statistical modeling, and model evaluation, plus strong cross-functional and leadership communication skills.

The Senior Platform Engineer will build and operate reliable data platform tooling, consolidate orchestration, scale dbt infrastructure, and improve Databricks developer experience. The role requires 5+ years of production software experience, strong Python and AWS expertise, infrastructure-as-code experience, and familiarity with modern data stacks.

Leads the scientific strategy for Reddit’s ads measurement, signal, identity, attribution, and privacy systems. The role requires deep expertise in experimentation and causal inference, 10+ years of quantitative industry experience, and the ability to influence senior cross-functional leaders while mentoring data science teams.

Leads high-impact ads measurement, identity resolution, experimentation, and signal-quality initiatives, partnering across engineering, product, and sales. Requires an advanced quantitative degree, substantial applied data science experience, and expertise in statistical modeling, causal inference, experimentation, or identity systems.

Leads experimentation methodology for Reddit’s Consumer organization, tackling causal inference challenges involving network effects, interference, and two-sided systems. The role requires deep statistical expertise, large-scale experimentation experience, and the ability to influence product strategy and mentor data scientists.

Leads consumer product strategy through exploratory analysis, experimentation, metrics, and data-driven insights. The role requires an advanced quantitative degree, extensive applied science or data science experience, strong SQL and statistical skills, and the ability to influence stakeholders and mentor data scientists.

Leads high-impact data science initiatives for advertising identity, measurement, experimentation, and signal quality. The role requires an advanced degree, extensive applied science or data science experience, strong statistical programming, and expertise in causal inference, experimentation, or predictive modeling.

Builds Tableau dashboards and Snowflake datasets that support global go-to-market and field operations decisions. The role requires 5+ years of analytics or BI experience, strong SQL and Tableau expertise, Salesforce data knowledge, and the ability to use generative AI in technical workflows.

Build production-grade data processing systems and performant datasets that support AI-driven customer experiences and company-wide analytics. The role requires 5+ years of data engineering experience, strong Python and SQL skills, and expertise with distributed processing frameworks and modern analytics tooling.

Leads quantitative analysis for product growth, focusing on user adoption, engagement, retention, experimentation, and enterprise account expansion. Partners with Product, Engineering, Design, and Marketing to define metrics, identify opportunities, and turn behavioral insights into measurable product decisions.

The Senior Data Engineer will design scalable data pipelines and warehousing systems supporting analytics, business metrics, and machine-learning initiatives. The role requires 4+ years of enterprise data experience, expertise with modern data platforms and ETL, and the ability to mentor engineers and collaborate across functions.

Builds scalable data pipelines and data engine architecture for machine learning, integrating foundation models to automate labeling and discovery. The role requires 5+ years of experience, modern ML infrastructure expertise, and U.S. citizenship with security-clearance eligibility.

The Senior Database Administrator will design, operate, secure, and optimize high-volume PostgreSQL databases supporting a scalable SaaS platform. The role requires 6+ years managing databases at scale, strong performance-tuning expertise, and experience with high availability, automation, observability, and recovery.

Architects and operates production machine-learning systems that classify web and API traffic, detect bots and scrapers, and support real-time mitigation at internet edge latency. The role requires 9+ years of applied ML experience in adversarial domains and strong expertise in evaluation, data pipelines, and large-scale systems.

Analyzes proprietary private-market transaction and pricing data to identify valuation, liquidity, and investor trends, then translates findings into research publications and investor-facing thought leadership. Requires a bachelor's degree, strong quantitative skills, Excel and Python proficiency, and 3–7 years of relevant experience.

Build and own foundational data models, reliable pipelines, and data platforms that support analytics and business decision-making. The role requires 5+ years of data engineering experience, strong Python and SQL skills, cloud data warehouse expertise, and a bachelor's degree or equivalent experience.

Staff engineer owning the analytical data layer, schema, and tiered analytics architecture. The role combines hands-on backend development with database performance optimization, observability, ingestion coordination, and measured architectural decision-making.

The Data Analyst supports Product Analytics and the Client Group by reconciling cross-system billing data, resolving discrepancies, and building durable data-quality controls and reporting. The role requires advanced Excel, strong SQL, and 5+ years of analytics, data, or finance-operations experience.

Leads advanced analytics for Customer Support, partnering with product and operations leaders to improve community and agent experiences through metrics, experimentation, causal inference, and scalable data tools. Requires 8+ years of business analytics experience and strong SQL plus Python or R expertise.

The Data Scientist will turn large-scale LLM usage data into routing improvements, analytics products, and user-facing features. The role requires 4+ years of data science, applied ML, or quantitative product experience, plus strong SQL, Python, statistical, and AI expertise.

Manages an internal product analytics team that supports product managers and leadership through recurring analysis, trusted metrics, and AI-powered workflows. Requires 6+ years in analytics, 2+ years leading teams, strong SQL and data warehouse skills, and senior stakeholder experience.

Analytics Manager serving as a hands-on individual contributor, partnering cross-functionally to solve business problems, design experiments, build predictive models, and deliver trusted reporting. Requires 5–7 years of relevant experience, advanced SQL, Python, machine learning, and strong stakeholder communication.

Own demand generation and field marketing for selected US and Canadian territories, partnering closely with Sales and Energy Markets to generate pipeline, advance deals, and support program launches. The role requires end-to-end B2B campaign experience, strong communication, and proficiency with HubSpot and Salesforce.

Build and ship production algorithmic systems that improve healthcare quality, access, and cost outcomes. The role combines machine learning, optimization, experimentation, and LLM productionization, requiring at least two years of relevant industry or advanced-degree experience.

Own end-to-end marketing analytics, funnel measurement, and ROI analyses while translating Media Mix Modeling outputs into budget, channel, and campaign decisions. The role requires 6+ years of analytics or data science experience, strong Python and SQL skills, statistical grounding, and senior stakeholder influence.

Analyzes conversational and call-center data to identify patterns, configure speech analytics solutions, build dashboards, and deliver actionable customer insights. The role requires strong analytical and communication skills, customer-facing experience, and a bachelor's degree or equivalent experience.

Leads machine learning strategy and hands-on development for music promotion and royalty products, building scalable production systems and guiding complex technical initiatives. Requires deep machine learning expertise, production-scale implementation experience, and strong technical leadership.

Develops and validates the autonomy stack for adaptive orchestration of heterogeneous UAV, USV, and UUV fleets. The role requires 6+ years in autonomy or robotics, strong C++ and Python skills, experience with planning, navigation, middleware, simulation, and eligibility for a security clearance.

The Staff Analyst, GTM Analytics partners with Marketing leadership to improve pipeline generation, conversion, campaign ROI, and data governance. The role requires 7+ years in analytics or BI, advanced SQL, dbt, Python, and experience with B2B marketing technology and AI-driven analytics workflows.

Owns the quality, efficiency, and reliability of Cortex Code, Snowflake’s coding agent for data workflows. The role combines production software engineering, AI/LLM evaluation, experimentation, observability, and systems optimization, requiring 6+ years of experience and proficiency in Python, TypeScript, or Go.

Build and own production AI agent systems spanning orchestration, backend services, integrations, knowledge infrastructure, trust and safety, and evaluation. The role requires 5+ years of backend engineering experience, hands-on LLM or agent experience, and strong ownership in an ambiguous product environment.

Build and operate production machine learning systems for recommendations, search, advertising, content understanding, and LLM-powered experiences at internet scale. The role requires 3–5+ years of production ML experience, strong programming and software engineering fundamentals, and expertise with modern ML frameworks and scalable pipelines.

Design, build, and deploy production ML systems for recommendations, search, ranking, and advertising at internet scale. Own the full ML lifecycle from modeling to monitoring with strong cross-functional collaboration.

Build and own quantitative risk models, stress testing, default-risk frameworks, and real-time monitoring for a regulated derivatives exchange. The role requires hands-on derivatives risk experience, strong Python skills, exchange-mechanics expertise, and working knowledge of CFTC requirements.