San Francisco, United States of America On-site Full-time

Factory is hiring a Research Engineer

Responsibilities

  • 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, and agent backend architecture.
  • Collaborate with product and engineering teams to incorporate emerging AI research findings into practical, customer-centric solutions.
  • Engage in iterative development processes, rapidly prototyping and refining AI functionalities based on real-world feedback to meet the evolving needs of developers and enterprises
  • Take the initiative in identifying and addressing product stability and scalability challenges, ensuring our platform reliably support large-scale operational demands

Requirements

  • 2+ years of hands-on experience in AI/ML engineering roles post-acquisition of a Bachelor's or Master's degree in Computer Science, Engineering, AI, or a related technical field.
  • Demonstrated proficiency with LLMs and a track record of applying AI/ML techniques to solve complex, unstructured problems, ideally within the domain of software engineering or related areas.
  • Self-motivated and autonomous, with a proven ability to navigate ambiguous research projects from conception to impactful deployment.
  • Strong communication skills that enable you to articulate technical concepts and strategies clearly at all levels, coupled with a strategic mindset oriented towards innovation.

Nice to Have

  • Experience with data-intensive applications and familiarity with the software development lifecycle are highly desirable, though not mandatory.

Work Arrangement

On-site — San Francisco

Additional Information

  • The team goes into the office 5 days a week in San Francisco (walking distance to Caltrain).
Required Skills
LLM
About company
Factory

Factory is the enterprise platform for agent-native software development. The company's mission is to Bring Autonomy to Software Engineering, enabling teams to build software faster and more efficiently using AI agents.

Their platform integrates across the entire software development lifecycle (SDLC), offering tools like Droid CLI, Desktop, Web/Mobile, Slack, and Jira & Linear integrations. It supports sovereign deployment with options for SaaS, Hybrid, On-Prem, and Air-Gapped environments, meeting enterprises where they are on AWS, Azure, and GCP.

Factory provides deep analytics and agent readiness scoring to measure autonomous progress across repositories, track token consumption, and improve codebase quality. It is trusted by engineering teams at leading companies to securely deploy AI agents while maintaining compliance and reducing infrastructure costs.

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Job Details
Department Research
Category Data & ML
Posted 16 days ago