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.

Build and deploy agentic systems that power AI-driven creative video workflows. The role requires 5+ years of experience, production ML or agentic pipeline development, context engineering, and expertise in evaluation and agent infrastructure.

Designs and ships production multi-agent compliance systems, including LLM pipelines, model training, evaluation, monitoring, and explainability. Requires 5+ years of applied AI/ML engineering experience, strong Python, and experience deploying production ML systems.

Applied AI Intern contributing to machine-learning research, generative AI features, and production model deployment for customer-facing observability products. Requires a relevant degree, hands-on machine-learning experience, strong programming skills, and graduation in 2027.

Leads and scales an embedded product analytics organization, establishing rigorous standards for experimentation, modeling, reporting, and data quality. Requires 10+ years in analytics, substantial people leadership, advanced SQL and Python, and the ability to translate complex analyses into executive-level strategic decisions.

Senior Business Analyst supporting Reddit’s revenue strategy by building BigQuery data pipelines, semantic models, and dashboards for the Large Customer Sales channel. The role requires strong SQL, analytics, cross-functional collaboration, and the ability to translate complex data into measurable business outcomes.

Paid Applied AI internship focused on building, evaluating, and deploying production-oriented AI applications, including agents, RAG pipelines, and LLM integrations. Requires strong Python skills and current or recent study in a relevant technical field.

Build and deploy AI-powered products for digital-native customers, taking systems from experimentation through production and scale. The role requires strong Python skills, hands-on production engineering, systematic AI evaluation, and the ability to navigate reliability, security, governance, and customer impact.

Research Engineer who productionizes robotics, perception, and machine-learning prototypes for reliable, real-time execution on hardware. Requires 3+ years of systems or production ML experience, strong modern C++, CUDA, Python, Linux, and performance optimization skills.

Business intelligence analyst partnering with product and business leaders to build dashboards, standardize metrics, and translate complex data into actionable decisions. Requires 3+ years of quantitative analytics experience, advanced SQL, and at least 2 years of Tableau dashboard development.

Construye y lidera la arquitectura, los pipelines y la plataforma de datos para habilitar analítica de producto, reportes financieros y experiencias self-serve. Requiere más de 7 años de experiencia, dominio de SQL, Snowflake, dbt, Python y AWS, además de experiencia con orquestación y modelado de datos.

Senior Data Engineer responsible for architecting and operating scalable data pipelines, warehouses, and analytics infrastructure. The role requires 7+ years of data or analytics engineering experience, strong SQL and modeling expertise, and proficiency with cloud, orchestration, and BI technologies.

Build and monitor pre-game and in-game sports player projections, manage risk through quantitative analysis, and support game-operations processes across leagues. The role requires strong DFS and sports-gaming knowledge, attention to detail, timely decision-making, and night/weekend availability.

The BI Analyst will analyze game operations, product, pricing, and user-performance data, translating findings into recommendations, dashboards, and reusable analyses. The role requires advanced SQL, visualization, and Excel skills plus experience in analytics, gaming, finance, or related domains.

Build and operate customer-facing agentic systems that automate support workflows, diagnose issues, and safely execute bounded actions. The role requires 2–4 years of software engineering experience, production AI systems experience, and strong backend or integration debugging skills.

Senior software engineer building shared AI/ML platform systems across GPU training, model lifecycle management, and production inference. The role requires seven-plus years of production engineering experience, strong backend or infrastructure skills, Kubernetes and cloud expertise, and practical understanding of ML systems and performance.

Build and scale distributed data platforms, database systems, delivery services, and APIs, with emphasis on reliability, performance, observability, and data integrity. Requires 3+ years of software development experience with distributed systems and databases; Golang experience is preferred.

Research Engineer developing machine-learning and reinforcement-learning systems for defensive cybersecurity, including agentic investigations, experiments, evaluations, and production training runs. Requires cybersecurity research experience, strong software engineering, and a bachelor’s degree or equivalent experience.

Own and evolve Stream’s revenue operations data platform, including ingestion, transformation, modeling, reliability, and GCP infrastructure. The role requires 6+ years of production data-platform experience, expert SQL, strong Python, modern ELT, Terraform, and technical leadership.

Research Intern working on next-generation video generation models through experimentation in distillation, inference efficiency, reward modeling, preference optimization, and scalable training infrastructure. Applicants should be pursuing a PhD or final-year master’s degree with relevant research experience and strong Python and machine learning framework skills.

Conduct research and engineering on next-generation video generation models, including post-training, evaluation, multimodal data systems, and scalable ML infrastructure. The internship requires current bachelor's or master's study and practical experience with Python, data pipelines, or distributed systems.

Build and operate distributed systems powering Apache Pinot’s real-time analytics platform at massive scale. The role requires strong distributed-systems expertise, end-to-end delivery ownership, and a focus on reliability, observability, and performance.

Build and deploy AI-powered software development workflows with enterprise engineering organizations, taking Codex use cases from prototype through production and scaled adoption. The role requires strong hands-on software or AI systems experience, Python proficiency, systematic evaluation skills, and fluent Japanese and English.

Leads the design and operation of reliable, scalable model infrastructure powering AI inference across multiple providers. Requires 7+ years of distributed-systems engineering experience, strong programming skills, and expertise in production reliability and cloud infrastructure.

Validates and monitors AML/CFT transaction monitoring, customer risk assessment, screening, and AI models while assessing regulatory compliance, model risk, performance, and bias. Requires a quantitative bachelor's degree, 3+ years of relevant experience, and proficiency in Python, R, and SQL.

Leads the development of ML- and NLP-powered search relevance systems, including query understanding, ranking, retrieval, and evaluation. Requires 10+ years of search relevance experience and a bachelor’s degree, with advanced study preferred.

Own and scale transformation pipelines that convert diverse financial and operational data into reliable FP&A-ready models. The role requires strong SQL and dbt expertise, data integrity and performance skills, and effective collaboration across Engineering and Customer Success.

Paid internship for quantitative students contributing to AI-powered software creation, systems optimization, and developer tooling. Candidates should demonstrate strong mathematical ability, curiosity about AI, and autonomous cross-functional collaboration.