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Research Engineer

Factory - San Francisco, CA, San Francisco, CA, United States

Posted May 2, 2024

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
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Salary
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401(k) match
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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Engineering From the posting source checked Jun 20, 2026
Seniority
Mid From the posting source checked Jun 20, 2026

Schedule

Shift type
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Weekend work
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Company

Company stage
Series B From the posting source checked Jun 20, 2026

Application

Cover letter
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Assessment
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Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Research Engineer San Francisco, CA, San Francisco, CA, United States 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. -

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