Build scalable, fault-tolerant platforms for serving large language models across research and production environments. The role requires 4+ years of backend systems experience, strong programming skills, and familiarity with LLM serving, containers, cloud infrastructure, and infrastructure as code.

Leads the design, development, and reliability of foundational data storage, streaming, caching, indexing, and warehousing platforms. The role requires at least five years of backend engineering experience, distributed-systems expertise, and fluency with modern data and cloud technologies.

Research Advisors apply deep finance, legal, medical, or related expertise to evaluate advanced generative AI systems, shape model-governance frameworks, and collaborate on research and client engagements. Candidates need at least five years of relevant experience, strong analytical skills, and hands-on AI experience.

The fellowship engages experienced software engineers or technical researchers in designing evaluations, datasets, and expert analyses for advanced generative AI systems. Fellows contribute to applied AI research and publications with flexible remote project work.

Conduct applied AI research by designing, evaluating, and optimizing machine-learning models and code, with a focus on PyTorch, GPU performance, and generative AI systems. Requires a PhD or postdoctoral degree and 1–3+ years of ML engineering or data science experience.

STEM Fellows apply academic and professional expertise to design evaluation datasets, assess generative AI systems, and contribute research insights and publications. The fully remote, six-month independent contractor opportunity is suited to PhDs, postdoctoral researchers, and professors with relevant domain expertise.

Medical fellows apply clinical expertise to design scenarios, evaluate generative AI decision-making, and provide structured feedback for safer, more accurate healthcare systems. The role requires an MD or DO, board certification, strong clinical reasoning and writing skills, and a relevant medical specialty.

Builds advanced AI agents and machine-learning solutions for enterprise customers, translating business needs into production systems. Requires strong engineering skills, Python proficiency, cloud experience, and a data-driven approach to model development.

Build and deploy end-to-end AI applications and model evaluation systems for global public sector clients. The role requires 7+ years of engineering experience, production AI/ML experience, and proficiency in modern programming languages and cloud platforms.

Build and evaluate reliable agentic AI systems for high-stakes public-sector applications, spanning applied research, model optimization, safety, and benchmarking. The role requires strong Python and AI infrastructure experience, production engineering rigor, and expertise in LLM evaluation or red-teaming.

Conducts foundational research on LLMs and multimodal systems, developing architectures, training methods, and optimization techniques and helping transition prototypes into production. The role requires an AI/ML research background, analytical problem-solving, programming experience, and strong research communication.

The Strategic Analytics Manager transforms commercial, customer, and financial data into ROI analyses, dashboards, forecasts, and recommendations that support revenue growth, retention, and strategic decisions. The role requires a bachelor’s degree, 5+ years of analytics experience, SQL, Excel, visualization expertise, and strong cross-functional communication.

The Senior Analytics Engineer will build product event data models, pipelines, and semantic layers that enable reliable self-serve analytics. The role requires 5+ years of relevant experience, strong SQL, dbt, Python, and Snowflake expertise, and close collaboration with Product, GTM, Finance, and executive stakeholders.

Leads the architecture and operation of a multi-tenant AI/ML platform supporting production models, LLMs, and agents in regulated scientific environments. Requires 10+ years in distributed cloud-native systems, strong TypeScript and Python skills, production LLM/RAG experience, and technical leadership.

Build and operate high-performance distributed inference infrastructure serving Claude across large-scale accelerator fleets. The role requires strong software engineering experience with production distributed systems, Kubernetes, cloud platforms, and machine learning infrastructure.

Conduct large-scale reinforcement learning experiments, develop long-horizon benchmarks, investigate scaling behavior, and translate validated research into production training recipes. The role requires strong empirical research skills, Python, distributed ML experience, and a bachelor's degree or equivalent experience.

Research Engineer on a pretraining team, developing and scaling large language models through research, experimentation, infrastructure optimization, and model engineering. Requires advanced ML or computer science education, strong software engineering skills, and expertise in Python and deep learning frameworks.

Conducts empirical economic research on AI’s effects across labor markets, productivity, inequality, and industry transformation. The role develops regional measurement methodologies, leads research collaborations, and translates findings into policy and business insights.

Build and improve production ML and LLM-powered systems that enhance AI Assistant and autonomous-agent quality through evaluation, retrieval, personalization, and orchestration. Requires 2+ years of industry experience, strong coding ability, and experience shipping applied ML systems.

Build advanced search quality systems using machine learning, including personalization signals, ranking models, and domain-adapted LLMs for enterprise search. Requires 2+ years experience in ML, search/NLP, strong coding in Python/Go/Java/C++, and bachelor's in CS/math.

Analyzes contact center workforce data, optimizes scheduling and intraday staffing, and builds AI-powered WFM automations and reporting. The role requires 7–8+ years of WFM experience, strong analytics and visualization skills, platform administration experience, and leadership across operational stakeholders.

Design and deploy scalable safeguards that mitigate cybersecurity misuse by frontier AI models across OpenAI product surfaces. The role requires deep learning and transformer expertise, software engineering fundamentals, LLM fine-tuning experience, and cross-functional collaboration.

Leads quantitative analysis, experimentation, and machine-learning initiatives for Pinterest’s ads delivery systems. The role requires 10+ years of web-scale data experience, strong product intuition, cross-functional leadership, and expertise in causal inference, recommendation, and analytics.

Researches and develops memory and personalization improvements for frontier models through post-training, reinforcement learning, dataset creation, and evaluations. The role requires strong machine-learning expertise, research craftsmanship, and the ability to work across a large codebase with research and product teams.

Develops reinforcement learning, memory, and personalization capabilities for frontier models, including long-horizon evaluations and research code. The role requires strong RL research experience, rapid iteration, and the ability to translate rigorous research into product impact.

Build and operate production machine-learning infrastructure, automate model lifecycle workflows, and productionize models across distributed systems. The role requires advanced Python, distributed computing, data engineering, SQL, and hands-on MLOps experience, with Kubernetes and cloud infrastructure experience preferred.

Build and deploy cutting-edge Agentic AI and LLM systems to transform Airbnb's customer service experience, including Chat and Voice AI assistants. Requires 6+ years experience with production ML/AI systems at scale.

Investigates transaction and user-event anomalies, handles fraud escalations, and recommends actions to protect payment products. The role requires 2+ years in fraud prevention, payments risk, or financial crime investigation, plus SQL, Excel, and strong analytical communication skills.

Analyzes and improves mental-health safeguards for generative AI by evaluating interventions, tuning detection systems, reviewing flagged content, and identifying policy gaps. Requires trust-and-safety or related well-being experience, experimentation and measurement skills, SQL or comparable data analysis, and sound judgment in high-consequence cases.

Own marketing data models, integrations, dashboards, and data-quality monitoring during a focused six-month engagement. The role requires 4+ years of B2B SaaS marketing analytics or operations experience, strong SQL and dbt skills, and familiarity with Snowflake, Salesforce, and Marketo.

Build and scale Oracle Fusion financial systems across accounting, tax, treasury, procurement, and FP&A. The role combines financial data architecture, SQL/PL/SQL integrations, workflow automation, and AI-assisted development in partnership with business and engineering teams.

Conducts research to improve the safety of multimodal AI systems spanning text, vision, and audio. The role requires experience building multimodal models, post-training frontier systems, designing safety evaluations, and translating research findings into reliable model behavior.

Build and govern the cloud data infrastructure that powers AI skill mining, including BigQuery, storage, IAM, Vertex AI pipelines, and automated data workflows. The role partners with AI, data science, and product teams to deliver observable, privacy-conscious infrastructure.

Builds production inference infrastructure for in-house AI models, including model serving, GPU optimization, deployment safety, benchmarking, and runtime reliability. Requires 6+ years of software engineering experience and strong backend, Kubernetes, Linux, and distributed-systems skills.

Build and optimize the backend TTS layer for next-generation AI agents, integrating speech vendors, improving latency and naturalness, and implementing persona systems. The role requires production Python, speech ML, linguistic optimization, cloud API, evaluation, and prompt-engineering experience.

Build and own production AI systems, including agentic workflows, RAG applications, evaluation pipelines, and LLM-powered services. The role requires 5+ years of relevant engineering experience, strong Python skills, and expertise deploying reliable AI applications.

Conducts research and develops NLP and LLM-powered capabilities for real-time voice agents, retrieval, and business communications products. The role requires a Master’s or PhD and industry NLP experience, along with Python, PyTorch, and modern LLM expertise.

This senior applied ML role builds and deploys optimization-driven machine learning systems for serverless infrastructure, spanning cluster management through query compilation. It requires production ML experience, cloud and distributed-systems knowledge, strong programming skills, and a master's degree in a related computational field.

Analyzes operational and business performance for Lyft Urban Solutions, partnering with Product, Engineering, Operations, Policy, and Finance to improve micromobility services. The role requires 3–5+ years of analytics experience, strong SQL and quantitative skills, and excellent cross-functional communication.

The Senior Analyst will lead customer experience analytics for Support and Services Delivery, translating operational data into actionable insights and scalable self-service tools. The role requires 4–6 years of analytics or applied data science experience, strong SQL and Python, dbt expertise, and stakeholder-facing communication skills.

Owns the analytics transformation layer by building scalable dbt and SQL data models, improving warehouse performance, and establishing data quality standards. Requires 4+ years in analytics or data engineering, strong Python and semantic-layer experience, and proficiency with cloud and data tooling.

Supports product data analysis, KPI reporting, dashboard development, and insight generation for cross-functional stakeholders. Requires a bachelor's degree, basic SQL and Excel proficiency, and strong analytical and communication skills.

Build internal applications, automated workflows, and ETL pipelines that support Commure’s global operations. The role requires strong SQL, JavaScript, Python, full-stack development, database architecture, and CI/CD experience, with at least three years in software, analytics engineering, or technical operations.

Build and own the canonical data model and pipelines powering Wonderschool's product, government platform, and AI agents. Hands-on role focused on data modeling, identity resolution, state data delivery, governance, and enabling self-serve metrics in a regulated environment.

Staff engineer driving technical vision and architecture for Spark Structured Streaming. Build core capabilities like advanced state management and operators; improve latency, throughput, and cost. Requires 8+ years in big-data, Spark, or database systems plus passion for distributed systems.

Senior engineer building and deploying production AI agents and frontier systems for enterprise customers. Combines latest LLMs, reasoning, retrieval, multi-agent architectures with structured knowledge and traditional ML to solve real business problems across industries. Requires 5+ years experience, strong Python, LLM production experience, and customer-facing skills.

Build and scale AI platforms for Rippling's Data Cloud, focusing on schema retrieval, query planning, LLM training pipelines, RL environments, and agent harnesses for intelligent workforce workflows. Requires 8+ years experience with production LLMs, distributed systems, and cloud infrastructure.

AI Resident who owns a hard ML/agent problem end-to-end: from proposal and building to evaluation, shipping in production, and rigorous write-up. Requires strong ML fundamentals, Python/PyTorch engineering, and depth in at least one area like post-training, reward modeling, agents, or eval.

Build and deploy production AI agents and frontier systems for enterprise customers, combining LLMs with retrieval, memory, multi-agent architectures, and traditional ML. Design evaluations, run experiments, ensure reliability/safety, and translate customer problems into scalable AI solutions. Requires 4+ years applied AI/ML experience and strong Python skills.

Design and optimize distributed infrastructure and training pipelines for large-scale language and multimodal models. The role requires 3+ years of distributed systems or ML infrastructure experience, PyTorch, cloud platforms, container orchestration, and distributed training expertise.