Research Engineer

AI in this role

ai-research

About the Role

Factory is seeking innovative Research Engineers to design and integrate advanced AI and ML capabilities that revolutionize productivity and accelerate innovation within software organizations.

What you will do and achieve

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

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.

This is an in-office position (5 days/week) in San Francisco (walking distance to Caltrain)

How we score this

Research Engineer at Factory scores 86 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 4. Building AI systems is the job itself: without AI, the role would not exist.

AI Level 480 to 100
AI Level 360 to 79
AI Level 240 to 59
AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI Research

Questions you could be asked

Tell me about a research question you investigated. What did you find?
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: AI Research. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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