Analyzes and improves healthcare data quality by investigating anomalies, managing issue resolution, testing data products, and implementing monitoring processes. Requires healthcare data expertise, SQL or Python proficiency, database testing experience, and strong analytical skills.

Investigates escalated payment accounts, identifies fraud patterns, and improves controls and workflows covering chargebacks, ACH abuse, wire disputes, and account takeovers. Requires at least one year of payments risk or fraud investigation experience and familiarity with payment systems.

Build and operate scalable lakehouse infrastructure, streaming and CDC pipelines, query systems, and self-serve BI capabilities. Requires 5+ years of data engineering experience, strong Kubernetes and infrastructure-as-code expertise, and hands-on experience with distributed data platforms.

Build scalable data ingestion, normalization, storage, and orchestration pipelines for multi-tenant device compliance data from endpoint-management platforms. The role requires 3+ years of data engineering experience, strong SQL and Python, database expertise, and experience with APIs and pipeline orchestration.

Leads production deployment and optimization of large language models on GPU hardware, focusing on quantization, inference engines, serving infrastructure, and performance benchmarking. Requires a bachelor's degree and 5+ years of software engineering experience in ML infrastructure, LLM inference, or model optimization.

Build and ship autonomous, agentic software development lifecycle capabilities, including AI agents, orchestration, and safety guardrails. The role requires senior software engineering experience, proficiency in Ruby, Go, or Python, distributed systems knowledge, and experience with AI/ML applications.

Senior data scientist who designs and delivers production AI solutions directly with customers, from architecture and modeling through deployment and adoption. Requires 8 years in advanced analytics and AI, strong Python and SQL experience, and customer-facing communication skills.

Build and govern quote-to-cash data models and products integrating Salesforce, CPQ, billing, and finance systems. The role requires 5+ years of data engineering experience, strong SQL and Python skills, and expertise in self-service analytics for GTM teams.

Senior analytical and scientific leader for Fetch’s Play and Rewarded Apps portfolio, guiding product strategy through advanced analytics, experimentation, causal inference, and predictive modeling. Requires 8+ years of experience, strong Python and SQL skills, and the ability to influence senior stakeholders and mentor data scientists.

Build and deploy production AI-agent systems, including their harnesses, evaluations, orchestration, and supporting services. The role requires 5+ years of software engineering experience, production LLM or agent experience, and strong Python or TypeScript/Node.js skills.

Remote internship focused on annotating image datasets in CVAT for robotics and physical AI applications. The intern will perform quality checks, collaborate with AI/ML teams, and improve annotation workflows; the role is a six-month contract-to-hire opportunity.

Builds high-scale data pipelines, distributed systems, and AI agent workflows using LLMs for fraud intelligence platform. Requires 2+ years software engineering, Python proficiency, big data tools, AWS/K8s, and ML foundations.

Build research infrastructure and tooling that enables AI models to design silicon, including reinforcement learning environments, EDA integrations, evaluations, and experiment workflows. The role requires strong software engineering fundamentals and comfort working across research, tooling, and chip-design systems.

Summer intern supporting payment fraud risk management through SQL analysis, dashboards, control evaluation, and actionable recommendations. Requires current study in a relevant field, hands-on SQL experience, and familiarity with dashboarding tools.

Supports People Analytics through employee-lifecycle analysis, dashboards, reporting automation, and executive insights. The internship requires analytical study, spreadsheet-based data analysis, clear communication, and responsible handling of confidential data.

Staff Credit Analyst role focused on credit forecasting, portfolio analytics, valuation, and risk capital analysis for lending and funding decisions. Requires 5+ years of relevant experience, strong SQL and programming skills, and the ability to translate complex analysis into actionable insights.

Own the credit performance analytics and investor reporting strategy for Upstart’s HELOC portfolio. The role requires 5+ years in financial services credit analytics, strong Python and SQL skills, data pipeline expertise, and the ability to communicate portfolio risk to investors and executives.

Own marketing performance measurement, experimentation, dashboards, and modeling to guide growth investment decisions. The role requires 3–5 years of analytics experience, strong SQL, marketing measurement expertise, BI reporting skills, and clear stakeholder communication.

Machine learning intern pursuing a Ph.D. who will build and deploy production-scale models and pipelines, conduct an end-to-end research project, and collaborate with engineering and product teams on blockchain and cryptocurrency applications.

Analytics Engineering intern building dimensional data models, SQL pipelines, quality controls, and self-serve datasets or dashboards. Requires current quantitative-degree study, SQL proficiency, programming familiarity—preferably Python—and clear technical communication.

Data Science Intern supporting product and engineering teams through statistical analysis, experimentation, analytical modeling, and data-driven recommendations. The role requires quantitative academic study or equivalent project experience, plus familiarity with Python and SQL.

Data Engineering Intern supporting scalable pipelines and infrastructure for analytics and machine learning workloads. Requires Python and SQL proficiency, cloud familiarity, and exposure to modern software architecture or AI/API integrations.

Leads database architecture, performance, reliability, and developer-tooling initiatives for high-volume trading applications. Requires 8+ years of software engineering experience, expert MySQL skills, backend development expertise, and strong knowledge of distributed systems and database operations.

Build and deploy generative AI and LLM-powered agentic applications at Front to automate customer support inquiries, enhance product capabilities, and drive operational insights. Requires 5+ years software engineering experience with strong production AI/ML focus, agentic/RAG expertise, and proficiency in Node.js, TS, and Python.

Build, deploy, and optimize AI applications and machine learning models for customer use cases while contributing to an internal ML platform. This new graduate role requires a technical master’s degree, hands-on ML or LLM experience, and strong customer communication skills.

Develop and productize online mapping models for autonomous navigation using real-world sensor data. The role requires deep ML expertise, robotics or computer vision experience, strong Python and deep learning framework skills, and a staff-level ability to deliver practical solutions.

Conduct foundational research on LLMs and multimodal systems, designing architectures and training methods and helping move prototypes into production. The role targets PhD researchers graduating by December 2026 with strong machine-learning research and programming experience.

Leads data science for growth and monetization, shaping pricing, packaging, conversion, retention, and new revenue models. Requires 6–8+ years in data science or product analytics, advanced SQL and Python, rigorous experimentation experience, and strong cross-functional influence.

Develop and deploy deep-learning perception solutions for autonomous and non-autonomous platforms, taking computer vision research into real-time edge production. Requires deep learning and computer vision experience, modern model architectures, and relevant tertiary qualifications.

Build and operate foundational streaming, messaging, and data pipeline infrastructure for highly scalable identity and analytics systems. The role requires 3+ years of software development experience and strengths in distributed systems, event streaming, and platform reliability.

Leads operational analysis, modeling, simulation, and wargaming for autonomous aircraft systems, translating military mission insights into design and product decisions. Requires 7+ years of experience, defense operational expertise, and proficiency with aerospace simulation tools and modern software workflows.

Develop and deploy advanced deep-learning computer vision and perception solutions for edge devices, while contributing to research, scalable MLOps tooling, and production optimization. Requires 3–5 years of industry experience, relevant tertiary qualifications, and expertise in modern vision architectures.

Build and operate production AI agents for finance workflows, owning orchestration, evaluation, reliability, and human-in-the-loop safeguards. Requires 8+ years building SaaS products, 2+ years shipping agentic systems, and hands-on Node.js and TypeScript experience.

Leads data science for Support and Risk Operations by developing measurement systems, experiments, forecasts, and decision frameworks. Requires advanced SQL, strong statistical and product judgment, AI-assisted analytical workflows, and 6–8+ years with a graduate degree or 12+ years with a bachelor’s degree.

Staff machine learning engineer leading scalable ranking, search, recommendation, and personalization systems. The role requires 9+ years of applied machine learning experience, strong programming and data engineering skills, and expertise productionizing models and pipelines.

Leads operational analysis, modeling, simulation, and wargaming for autonomous aircraft systems, translating military mission insights into design decisions and capability improvements. Requires 5+ years of operational analysis or military operations research experience and expertise in defense modeling tools and modern simulation workflows.

Conducts independent neuroscience experiments involving multi-electrode and electrophysiological recordings, analyzes data, prepares publication-ready materials, and mentors junior staff. Requires a related master's degree, three years of experience, Biology expertise, and strong data presentation skills.

Senior AI Engineer responsible for production LLM agents that enrich business identity data through web discovery, verification, classification, and risk scoring. The role requires strong asynchronous Python, agent and evaluation expertise, browser automation, and experience operating AI systems in production.

Build production AI capabilities for automated slide and document generation, working across LLM applications, data analysis, and content generation. The role requires 3+ years in machine learning and NLP, advanced Python, and experience with LLM frameworks and production systems.

Senior Data Engineer responsible for building and operating reliable clinical and claims data pipelines, CDC systems, quality controls, and de-identified exports. The role requires 5+ years of production pipeline experience plus strong SQL, Python, Spark, and data-governance skills.

Build and operate large-scale ranking and retrieval systems that power search relevance, including hybrid lexical/vector search, embeddings, query understanding, and permission-aware retrieval. Requires a bachelor's degree and 5+ years of ML engineering experience in ranking or information retrieval.

Develop and deploy machine learning models for biomedical research and AI product development, collaborating with scientific, engineering, and product teams. Requires a master's degree with 2–4 years of experience or a PhD with 0–2 years, plus strong Python and ML development skills.

Machine learning engineer who trains, evaluates, and productionizes models and LLM-powered applications for financial products. Requires 2+ years of ML systems experience, strong Python and PyTorch skills, production data pipelines, model evaluation, and API development.

Develop and deploy machine learning models for biomedical research and AI products, collaborating with scientific, engineering, and product teams. Requires an advanced quantitative degree, substantial ML experience, Python proficiency, and experience bringing models into production or research applications.

Investigates fraud, analyzes emerging patterns and false positives, and develops operational and analytical controls to reduce financial and reputational risk. The role requires a bachelor's degree, 1–2 years of fraud or risk monitoring experience, strong analytical judgment, and basic SQL knowledge.

Leads the design and improvement of large-scale data platform systems and workflows, collaborating across engineering, data science, and business teams. Requires 10+ years of relevant experience, advanced SQL and Python, cloud data tooling, and technical leadership.

Research Engineer building large-scale AI capability evaluations, telemetry, data pipelines, and analysis tools for Anthropic’s Takeoff Intel team. The role requires hands-on large language model experimentation, rapid prototyping, data expertise, and strong research collaboration.

AI Research Intern researching agentic AI applications for customer-facing products and developing working prototypes. The role requires current pursuit of a technical bachelor's degree, prior software engineering or substantial project experience, and interest in LLMs or generative AI.

Analyzes loan-level quality, portfolio asset quality, and production model performance for unsecured lending. The role requires at least three years of experience in financial services or a related analytical risk function, plus proficiency with structured-data analysis and governance documentation.

Own the company’s metric governance program by defining canonical metrics, enforcing them in semantic and catalog systems, improving data quality, and validating AI-agent outputs. Requires 5+ years in analytics or analytics engineering, strong SQL, production semantic-layer ownership, and experience with AI evaluation and data governance.