Owns the measurement and improvement of Lovable’s AI agent by defining quality metrics, building evaluation and experimentation systems, and turning telemetry into product fixes. The role requires strong SQL, Python, statistics, experimentation, and interest in LLM evaluation and observability.

Build and productionize AI-native products and platform components, including LLM and agentic systems, while driving scalable architecture, operational excellence, and rapid iteration. The role requires extensive software engineering experience and a track record of shipping complex production systems.

Build and productionize AI and machine learning systems that transform Airbnb’s customer support experience, collaborating with product, design, and engineering teams. The role requires 2–4 years of ML engineering experience, advanced education or equivalent experience, and fluency in English and Mandarin.

Build production AI applications, agentic workflows, backend services, and enterprise integrations for Finance. The role requires 5+ years of production software engineering experience, strong Python and backend fundamentals, and experience with scalable, secure distributed systems.

Leads the end-to-end development, deployment, and optimization of machine learning models for cybersecurity and malware detection. The role requires 5+ years of production machine learning experience, strong Python and ML framework expertise, and technical leadership across data, evaluation, and MLOps workflows.

Leads development of scalable machine learning infrastructure, models, and internal platforms for voice and speech GenAI products. Requires extensive ML/AI experience, expertise in modern LLM techniques and audio models, distributed systems, cloud deployment, and production-scale data platforms.

Build and own Teleport’s internal data platform, including pipelines, warehouse architecture, data models, and quality controls. The role partners with product, engineering, finance, and revenue teams and requires strong SQL, Python or Go, cloud warehouse, and data governance experience.

Builds and owns scalable data pipelines, models, and integrations supporting Lyft’s Safety and Customer Care platforms. The role requires 4+ years of data engineering experience, strong Spark, Python, and SQL skills, and familiarity with distributed data systems and AWS tooling.

Build and lead Sweep’s production AI decision system, converting noisy cyber-physical signals into reliable operational decisions across edge and cloud environments. The role requires 5–10 years of end-to-end production systems experience, strong Python and systems design skills, and comfort working in high-stakes deployments.

Builds benchmarks, model evaluations, and backend infrastructure for an AI data platform’s Benchmarks and Evaluations vertical. The role requires 4+ years of engineering experience, hands-on model evaluation, and prior ownership of backend and infrastructure systems.

Leads the technical AI strategy and production application of LLMs, NLP, retrieval, agents, and multimodal systems for large-scale legal discovery. Requires 8+ years of software engineering experience, including significant ML/AI leadership and production LLM experience.

Build and scale AI-powered features for internet-scale security intelligence, including LLM and RAG systems, analytics, and workflow automation. The role requires 5+ years of software engineering experience, strong Python skills, and experience delivering secure, user-facing AI applications.

Leads production-grade forecasting and driver-based revenue modeling across product categories, translating product usage and business drivers into explainable financial outcomes. Requires 5+ years of experience with forecasting, causal or econometric modeling, Python, SQL, large-scale data systems, and executive-facing decision products.

Build production LLM-powered systems for Instacart’s AI-for-Data platform, including retrieval, agentic workflows, evaluations, and internal data tools. The role requires strong Python backend engineering, SQL and data infrastructure experience, applied LLM expertise, and at least five years of professional experience.

Build scalable reporting, data processing, and metrics delivery systems for Instacart’s advertising platform. The role requires 5+ years of software engineering experience, distributed systems expertise, strong SQL, and experience with data technologies such as DBT and Airflow.

Builds and delivers human-data projects, evaluation strategies, and tooling that improve AI model training signals and quality. The role requires cross-functional engineering collaboration, dataset analysis, and experience with Python, SQL, annotation workflows, or machine-learning evaluation.

Leads development and deployment of autonomy software for satellites and missile-defense systems, spanning optimization, tasking, planning, and sensor or track fusion. The role requires 7+ years of related experience, strong C++ and Python skills, robotics expertise, and the ability to obtain a SECRET clearance.

Leads technical direction and develops autonomy algorithms and high-performance software for satellite and missile-defense applications. The role requires deep robotics, optimization, control, and unmanned-systems expertise, along with significant experience integrating capabilities into real-world platforms.

Build and deploy autonomy software for satellites and missile-defense systems, spanning optimization, tasking, scheduling, track fusion, and motion planning. The role requires strong C++ and Python skills, robotics or unmanned-systems experience, simulation expertise, and the ability to obtain a SECRET clearance.

The Senior AI Developer will productionize and operate multimodal models and reasoning agents for millions of users, building model-serving, evaluation, observability, and reliability infrastructure. The role requires production cloud-services experience, ML systems expertise, and a bachelor's degree.

Leads development of systems that optimize AI agents for cost, latency, and quality, with emphasis on agentic coding and reliable production software. Requires 8+ years of experience, strong concurrency and API design skills, and fluency in multiple programming languages.

Owns secured-lending data integrity, regulatory reporting, risk dashboards, and loan-level quality controls for a highly regulated home lending business. Requires at least five years of reporting or compliance-monitoring experience and strong mortgage lending knowledge.

Builds secure, observable data models and ELT pipelines for cyber insurance and cybersecurity analytics, while enabling BI and AI-driven risk scoring. The role requires Snowflake, dbt, Python, LookML, secure data-handling practices, and relevant cybersecurity or cyber insurance experience.

The Product Data Scientist will analyze user behavior and A/B experiments to improve search quality, develop product metrics and dashboards, and build data-labeling pipelines. The role requires 4+ years of relevant experience, strong Python and SQL skills, and deep statistical knowledge.

This role turns customer, CRM, and conversation data into actionable client and account insights, partnering closely with agency teams to influence decisions and outcomes. It requires 4+ years of analytics experience, strong SQL and Snowflake skills, stakeholder communication, and comfort operationalizing ambiguous analytical work.

Owns Silver- and Gold-layer data modeling, semantic-layer governance, warehouse performance, and BI enablement for trusted self-service analytics. The role requires 5–7+ years of analytics engineering experience, strong SQL and dbt expertise, cloud warehouse optimization, and cross-functional stakeholder partnership.

Develop AI systems that automate and accelerate research by designing evaluations, building research agents and orchestration infrastructure, and improving model capabilities through training and synthetic data. The role suits strong research or engineering generalists experienced with LLMs, evaluations, agents, infrastructure, or distributed systems.

Develop mathematical models for robots, manipulators, and operating environments while integrating scalable simulation into development and deployment workflows. Requires an advanced degree and experience modeling complex dynamic systems.

Hands-on Data Scientist building pre-built fraud detection models and AI strategies for real-time payments and AML solutions. Requires MS degree, 1+ year experience, Python/SQL proficiency, and statistical modeling skills.

Build and productionize large-scale generative speech models for voice conversion and related capabilities. The role combines research, data, evaluation, distributed training, performance optimization, and responsible deployment of speech systems.

Researcher designing and running experiments on chain-of-thought monitorability in frontier LLMs to support scalable oversight and alignment. Requires strong empirical ML expertise with LLMs, deep interest in model behavior/alignment/interpretability, and ability to translate ambiguous questions into concrete experiments.

Leads the data engineering function and owns the platform supporting custodial ingestion, security master data, canonical financial models, governance, and AI-ready products. Requires 8+ years in data platforms, management experience, broker/dealer exposure, and strong PostgreSQL, AWS, and Python expertise.

Leads high-impact predictive modeling initiatives using deep learning, large language models, and traditional data science methods. The role requires principal-level experience, strong Python and MLOps expertise, and the ability to translate complex modeling work into measurable business value.

Leads complex predictive modeling and analytical initiatives using deep learning, large language models, and traditional data science methods. The role requires 5+ years of experience with a bachelor’s degree or 3–5 years with an advanced degree, plus production MLOps and peer leadership experience.

Develop and deploy predictive AI models using deep learning, large language models, and traditional data science methods. The role requires strong Python skills, production MLOps experience, and a bachelor's degree with 3–5 years of experience or an advanced degree with less experience.

The Staff Data Scientist will shape measurement, experimentation, and product strategy for Pinterest Notifications while improving the machine-learning systems behind notification delivery and content. The role requires 8+ years of experience, strong statistical and product judgment, and the ability to influence cross-functional leadership.

Build and ship AI-powered features for incident detection, triage, resolution, and observability workflows. The role requires strong production software engineering experience, practical LLM and GenAI expertise, cloud-native exposure, and a pragmatic approach to rapid experimentation.

Leads a team of machine learning researchers and engineers developing web-scale recommendation systems, guiding strategy, research-to-production execution, and cross-functional delivery. Requires 7+ years of post-graduate academic and industry experience, 3+ years of people management, advanced education, and strong ML publication credentials.

Triages and analyzes autonomous-vehicle behavior events using visualization and analysis tools, distinguishing true issues from false positives. The role is intended for a currently enrolled bachelor’s or master’s student who can work on-site 40 hours per week for at least three months.

The Senior Data Analyst will build marketing measurement across attribution, incrementality testing, media mix modeling, and forecasting for paid and PLG channels. The role requires 6+ years of relevant experience, advanced SQL, Python or R, and strong fluency in growth and marketing efficiency metrics.

Applies causal inference, experimentation, and causal machine learning to optimize AI-powered customer support, concession allocation, retention, and operational tradeoffs. Requires at least two years of relevant industry experience plus a master's degree in a quantitative field or a relevant PhD.

The Product Data Scientist owns analytics for digital product experiences, measures flavor-launch impact, and builds a constrained flavor recommendation engine. The role requires 2–4 years of experience, strong GA4 and experimentation expertise, SQL and Python/R proficiency, and effective stakeholder communication.

The Senior Data Engineer will build and operate trusted pipelines, governed metrics, and self-service analytics for clinical and operational data. The role requires 5+ years of production data engineering experience, strong Snowflake, SQL, and Python skills, and comfort owning data quality end to end.

Own audit-readiness data inventories, governance processes, pipelines, dashboards, and validation controls for shared financial and operational datasets. The role requires 7+ years in data analytics or engineering, production pipeline experience, advanced SQL and Python, and familiarity with dbt, Airflow, and regulated environments.

The Staff Analyst will turn complex go-to-market data into actionable insights, dashboards, forecasts, and AI-enabled workflows supporting Sales and Customer Success. The role requires 5+ years of analytics or operations experience, advanced SQL and Python, and strong business partnership skills.

Leads end-to-end machine learning work across renter acquisition, marketplace optimization, ranking, personalization, and matching. The role requires 7+ years of production ML experience, strong Python and SQL skills, statistical expertise, and cross-functional technical leadership.

Reviews live dashcam video to identify safety risks and produces reliable training data for AI/ML models. The role requires strong attention to detail, communication, collaboration, and flexibility for rotating shifts in a 24/7 operating environment.

Builds Qlik Sense dashboards, reporting processes, and backend services supporting the trade lifecycle for middle- and back-office operations. Requires a STEM degree, 2+ years of analyst or data-engineering experience, advanced SQL, programming skills, and strong data-quality expertise.

Develops and optimizes reinforcement learning systems and infrastructure for training large AI models like Claude, focusing on performance, reliability, and researcher productivity. Requires 4+ years software engineering experience.

Conduct machine learning and statistical research to improve unsecured underwriting models, evaluating enhancements through rigorous experimentation and validation. The role requires a graduate degree in a quantitative field, Python modeling experience, and 0–2 years of applied research experience.