Research Engineer
Factory · San Francisco, CA
About this role
## About Factory Factory’s mission is to create a world where software builds and improves itself. We build the platform for self-improving software development, helping enterprise engineering teams turn their organizations into autonomous software factories. Customers including **Nvidia, Blackstone, Royal Bank of Canada (RBC), Palo Alto Networks, Adobe, and T-Mobile** use Factory to ship code, review PRs, run tests, and deploy continuously—getting smarter with every cycle. In **2026**, we raised **$200M** at a **$5B valuation**, bringing total funding to **$400M+**. We’re backed by world-class investors and operators including **Khosla Ventures, Sequoia, Blackstone, Ali Ghodsi (CEO of Databricks), and Frank Slootman (Former CEO of Snowflake)**. --- ## About the Role — Research Engineer Factory is seeking **innovative Research Engineers** to design and integrate advanced **AI/ML** capabilities that revolutionize productivity and accelerate innovation within software organizations. --- ## What You Will Do - Design, develop, and deploy **AI-driven agentic systems** that enhance Factory’s core AI capabilities, focusing on: - Retrieval systems - Code generation evaluation - Agentic user experience development - Agent backend architecture - Collaborate with product and engineering teams to incorporate **emerging AI research** into practical, customer-centric solutions. - Iterate rapidly: prototype, refine, and improve AI functionalities based on **real-world feedback**. - Proactively identify and address **product stability and scalability** challenges to ensure the platform reliably supports large-scale operational demands. --- ## Qualifications - **2+ years** of hands-on experience in **AI/ML engineering** roles after completing a **Bachelor’s or Master’s** in Computer Science, Engineering, AI, or a related technical field. - Strong proficiency with **LLMs** and a track record of applying AI/ML techniques to solve complex, unstructured problems—ideally in the software engineering domain. - Self-motivated and autonomous, with the ability to navigate ambiguous research projects from conception to impactful deployment. - Strong communication skills to clearly articulate technical concepts and strategies at all levels, with a strategic mindset oriented toward innovation. - Experience with **data-intensive applications** and familiarity with the **software development lifecycle** are highly desirable (not required). --- ## Location **In-office (5 days/week)** in **San Francisco** (walking distance to Caltrain).
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