Senior machine learning engineer who will build and operate large-scale AI systems for Airbnb’s payments ecosystem, including LLM agents, fraud defenses, and personalization. The role requires 5+ years of applied AI/ML experience, strong Python or Java skills, and production MLOps expertise.

Conduct research and develop foundation models for robotic manipulation and high-precision manufacturing, taking projects from data curation through deployment on industrial robots. The role requires current PhD study, strong Python and deep learning expertise, robotics simulation experience, and research in foundation models.

Leads the architecture and hands-on development of a knowledge-graph-centered data platform for AI and autonomy workflows. The role requires deep distributed data systems expertise, strong Go or Python engineering skills, and experience with storage, APIs, infrastructure, and production reliability.

Conducts rigorous statistical validation of healthcare machine-learning models and translates results into clinically meaningful evidence. Requires 3+ years in biostatistics, applied statistics, epidemiology, or a related quantitative field, plus Python proficiency and experience with complex longitudinal data.

Leads the demand generation function for a B2B SaaS company, owning pipeline strategy, digital programs, events, ABM, lifecycle marketing, reporting, and a small team. Requires 8+ years of demand or growth marketing experience and strong cross-functional sales partnership.

Staff Software Engineer on the central data platform team, responsible for architecture, ingestion, orchestration, streaming, governance, and self-service data tooling. Requires 10+ years building production data infrastructure and deep experience with warehouses, CDC, streaming, orchestration, Python, and SQL.

Leads the strategy, architecture, and development of large-scale data infrastructure powering big data and AI applications. Requires 10+ years of industry experience, deep expertise in Kubernetes and big data technologies, and proficiency in a programming language.

Research Scientist II building and improving fraud risk models and scam detection systems using audio, behavioral, and metadata signals. Requires an advanced degree and 3+ years of applied ML experience with Python and modern ML frameworks.

Own the reliability, performance, observability, scalability, and cost efficiency of large Aurora MySQL production environments supporting healthcare applications. The role requires 6+ years of database engineering experience, deep MySQL and AWS expertise, and strong skills in automation, incident response, and query optimization.

Build reinforcement-learning environments, evaluations, datasets, and scalable infrastructure for frontier AI capabilities. The role suits a high-agency generalist engineer with experience in agents, evaluations, or RL workflows and strong communication skills.

Build and lead the central data platform, covering ingestion, warehousing, orchestration, streaming, self-service frameworks, and trust layers. The role requires 5+ years of production data infrastructure experience, strong Python and SQL skills, and expertise with Snowflake and modern data tooling.

Senior Staff ML Engineer fine-tunes and optimizes state-of-the-art LLMs for Airbnb's customer support AI products, including AI assistants and autonomous agents. Partners cross-functionally to productionize models at scale. Requires PhD and 10+ years experience with PyTorch.

Leads architecture and technical direction for agentic search systems combining LLMs, retrieval, and content-understanding pipelines for contract intelligence. The role requires 10+ years building production systems, deep search or LLM expertise, and strong cross-team technical leadership.

The Business Analyst owns operational reporting and strategic analysis for Technical Services, partnering with Finance, Analytics, and other teams to identify trends and deliver actionable recommendations. The role requires 5+ years of analytics experience, Python or SQL proficiency, Salesforce reporting, and Tableau dashboard expertise.

Analyzes high-volume transactional data to identify fraud trends, quantify risk, and improve fraud controls while protecting legitimate players. The role requires advanced SQL, dashboarding and visualization skills, fraud or risk analytics experience, and strong communication with cross-functional stakeholders.

Leads technical strategy for Reddit’s Ads ML Platform, improving feature development, training-data generation, experimentation, and the path to production ML serving. The role requires 8+ years in infrastructure or distributed systems, production ML platform experience, and strong cross-team technical leadership.

Own the architecture and delivery of production AI systems for patient-provider matching, search relevance, personalization, clinical workflows, and engagement. The role requires extensive software engineering, distributed systems, search or recommendation, ML applications, and foundation-model experience in a regulated healthcare setting.

The Senior Data Analyst will build People analytics models, metrics, dashboards, and decision frameworks across the employee lifecycle. The role requires 5+ years of analytical experience, advanced SQL and data modeling, strong business intelligence skills, and excellent stakeholder communication.

Own the measurement and improvement of technical interview content quality through analytics, dashboards, AI automation, and root-cause analysis. The role requires 6+ years in analytics or strategy, strong SQL and large-scale data expertise, executive communication, and residence in Mexico City.

Own end-to-end data sourcing and vendor operations that help researchers train and evaluate frontier AI models. The role requires strong judgment, communication, problem-solving, and comfort managing ambiguous, fast-changing projects.

Builds production data systems, AWS infrastructure, artifact storage, edge-to-cloud pipelines, and ML infrastructure for robotics applications. Requires 2+ years of AWS data infrastructure experience, strong schema and data modeling skills, and experience with ML systems.

Leads the strategy, measurement, and capability development for Firefox Marketing Data Science, covering attribution, campaign performance, budget optimization, customer insights, and scalable reporting. Requires 6+ years of marketing data science experience plus talent leadership and strong stakeholder communication.

Leads organization-wide Snowflake migration, Medallion architecture, warehouse optimization, and CI/CD quality controls while partnering with executives on data strategy. The role requires 6+ years in analytics or data engineering, expert SQL, production dbt experience, and strong architectural judgment.

The Senior Data Operations Analyst will perform quality assurance, analyze large datasets with SQL, maintain process documentation, and collaborate across teams to improve operational accuracy. The role requires a bachelor’s degree or equivalent experience, 2–3 years in a technical data-related role, and exceptional attention to detail.

Leads multidisciplinary teams building production-grade data platforms, AI/ML systems, scientific computing environments, and modeling capabilities for biomedical research. The role requires at least eight years of technical experience, five years leading technical teams, and hands-on experience operating complex systems.

Build and maintain reliable data pipelines, warehouses, and lightweight data applications supporting analytics, operational models, and AI/ML workflows. The role requires SQL, Python, ETL, and data warehousing knowledge, with 1+ year of relevant experience preferred.

Build and productionize AI-powered features, evaluations, and data and inference pipelines. The role requires Python web development experience, hands-on LLM or generative AI work, retrieval architectures, and an understanding of model quality, cost, and latency tradeoffs.

Owns medical economics analytics and clinical impact reporting for value-based care contracts, translating claims and utilization data into defensible insights for executives, payers, and partners. The role requires 4+ years of relevant experience, SQL and communication proficiency, CMS model familiarity, and a bachelor’s degree.

Leads architecture for offline experimentation and route simulation while building reliable, scalable data pipelines and backend services. The role requires 5+ years of backend or data engineering experience, distributed-systems expertise, strong SQL and Spark skills, and proficiency with modern cloud infrastructure.

Build agent-driven chatbots and generative AI workflows for financial-wellness products, owning features from design through impact measurement. The role requires at least three years of software engineering experience, strong system design, maintainable coding practices, and a bachelor’s degree or equivalent experience.

Leads experiments investigating working-memory circuits in behaving mice through multiregional Neuropixels recordings, optical perturbation, and large-scale neural-data analysis. Requires PhD-level neuroscience training, mouse survival surgery, awake-rodent electrophysiology, and Python or MATLAB expertise.

Design and deploy optimization algorithms and incentive systems that improve driver engagement, marketplace efficiency, and earnings. The role partners with product, engineering, and operations teams and requires Python, quantitative modeling, experimentation, and at least two years of relevant experience.

Build and evolve the agent harness powering Perplexity’s flagship answer experience, improving orchestration, context management, performance, reliability, observability, and evaluation. The role requires strong software engineering skills, Python proficiency, and experience shipping large-scale AI systems.

The Data Scientist will use experimentation, statistical inference, and data analysis to guide Growth strategy, define metrics, and evaluate product opportunities. The role partners with product, engineering, and marketing leaders and requires strong SQL plus Python or R skills.

Leads analytical practice within the BI team by developing trusted data products, dashboards, forecasting, and actionable insights for Product and Commercial stakeholders. The role requires 5+ years of analytics experience, advanced SQL and Python, dbt expertise, and strong stakeholder and mentoring skills.

Leads the architecture and productionization of advanced consumption forecasting systems supporting financial planning, infrastructure capacity, and executive decisions. Requires staff-level technical leadership, deep time-series and causal modeling expertise, and strong Python and SQL skills.

Build and operate the streaming, storage, query, and self-service infrastructure underlying the company’s data platform. The role suits an early-career engineer with 1–3 years of experience, a computer science bachelor’s degree, programming skills, and interest in distributed systems.

Owns the Finance data infrastructure supporting billing, usage-based revenue, forecasting, reporting, and close. The role requires production data engineering experience, strong SQL and Python, dbt and orchestration expertise, Finance-domain fluency, and the ability to mentor engineers and partner with business stakeholders.

Owns end-to-end GTM data pipelines, transformations, and models that power reliable pipeline, revenue, attribution, and funnel reporting. The role requires senior-level data engineering experience, strong SQL and Python, dbt and orchestration expertise, GTM metric fluency, and stakeholder partnership skills.

Own product performance dashboards and metrics across healthcare revenue cycle products, using SQL, Python, and AI-assisted development to identify product issues and explain customer-facing trends. Requires 4+ years of analytics experience, strong communication, and a customer-focused product mindset.

Build production AI agents and the distributed platform that operates large-scale GPU infrastructure. The role requires 5+ years of backend, distributed systems, or infrastructure experience, with expertise in agent systems, knowledge graphs, retrieval, or semantic search.

Leads advanced analytics that shape product and business decisions, developing trusted data models, dashboards, data products, and AI-enabled reporting. Requires 8+ years of analytical experience, strong SQL and dbt expertise, data storytelling ability, and cross-functional leadership.

Applied research scientists develop deep-learning and generative media systems for video, audio, and multimodal editing features that ship to millions of users. The role requires strong PyTorch or TensorFlow skills, rapid experimentation, and evidence of impactful research or production machine-learning work.

Build and operate large-scale machine learning systems for financial data quality, transaction categorization, risk scoring, and enrichment. The role requires 10+ years shipping production ML systems, strong framework and pipeline expertise, and the ability to mentor engineers and collaborate across teams.

Conduct rigorous people research and applied data science to evaluate talent programs, organizational health, and employee experiences. The role requires advanced expertise in research design, experimentation, measurement, causal inference, statistical modeling, and responsible handling of sensitive employee data.

Build and operate a scalable data platform centered on entity resolution, knowledge graphs, and real-time risk decisioning. The role requires strong software engineering, graph database, data pipeline, API, cloud, and observability experience.

Build and operate Databricks-based data products and pipelines that produce and distribute declared and modeled audience segments. The role requires strong Python, SQL, Spark, and distributed-processing expertise, plus experience with Databricks data engineering features and modern AI-assisted development.

Leads growth measurement, experimentation, funnel optimization, and data foundations for emerging healthcare products. The role partners with marketing, product, engineering, and design teams and requires strong SQL and Python or R experience, experimental methods, and data modeling expertise.

The Data Scientist will use product and user data, experimentation, causal inference, and statistical modeling to guide product, strategy, and operational decisions. The role requires 7+ years of data science or analytics experience, strong Python and SQL skills, and the ability to communicate insights to technical and business stakeholders.

Staff-level engineer leading backend services and data-platform architecture, including large-scale ingestion, distributed systems, and trustworthy BigQuery/dbt warehouse models. Requires 10+ years of software engineering experience, expert Python, deep SQL/dbt expertise, and strong technical leadership.