Research Engineer

San Francisco, CA

Factory

Factory’s mission is to bring autonomy to software engineering. We help organizations optimize and automate their software development lifecycle.

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Factory is looking for innovative Research Engineers to build and evolve cutting-edge AI systems that transform how software organizations accelerate their productivity and innovation.

What you will do and achieve:

  • Innovate at the forefront of AI by designing, developing, and deploying AI-driven agentic systems that enhance Factory's core AI capabilities

  • Work with product and engineering teams to integrate emergent AI research findings into practical, customer-centric solutions, enhancing the platform's effectiveness and user experience.

  • 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 Droids reliably support large-scale operational demands.

  • Lead the exploration and integration of large-scale data processing techniques to bolster the reliability and effectiveness of our AI systems

Qualifications:

  • 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.

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

  • The team goes into the office 5 days a week in San Francisco (walking distance to Caltrain).

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index πŸ’°

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Tags: Computer Science Engineering LLMs Machine Learning Prototyping Research

Region: North America
Country: United States

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