Reducto

Reducto

Machine Learning Eval Engineer

San Francisco Office

Sponsorship not specifiedDetected 127 days ago
PythonFlaskAWSMachine Learning

About the role

  • This is a high-impact role where you'll help define how model quality is measured at Reducto and shape the systems we use to improve it.

Responsibilities

  • Design, build, and maintain evaluation benchmarks that reveal where our models perform well and where they fail.
  • Develop metrics, heuristics, and workflows to automatically identify new failure modes across large and messy real-world datasets.
  • Partner closely with other ML engineers to turn evaluation insights into model improvements and better training priorities.
  • Work hands-on with unstructured enterprise data, including PDFs, spreadsheets, and other difficult document formats, to uncover edge cases and hard examples.
  • Build lightweight internal and user-facing tools, including simple interfaces in Python frameworks like Flask, to help teams inspect results, analyze model behavior, and communicate evaluation outcomes.
  • Enjoy solving complex problems and building from first principles.
  • Collaborate effectively across technical and non-technical teams.
  • Have strong Python skills and can independently build clean, reliable technical solutions.
  • Have some background in product thinking and can build simple, polished user-facing interfaces.
  • Have experience in AI/ML, data infrastructure, enterprise software, or document understanding systems.

Benefits

  • Bonus points for product and frontend experience!
  • Generous health insurance covering medical, dental, and vision.
  • We provide up to $150/mo reimbursement for health and wellness spending, such as gym memberships, fitness classes, or similar.
  • Work with us to build a leave schedule that works for you and your family

Company info

  • Collaborate with customers and internal teams to understand real-world data needs and create bespoke benchmarks that highlight Reducto's strengths.
  • At Reducto, we're invested in the well-being and growth of our team.
  • Are comfortable working directly with customers to understand their workflows and data needs.

Equal opportunity

  • Equal Opportunity Employer committed to diversity and inclusion in the workplace.

Visa & Work Authorization

  • n, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by app

This listing is sourced directly from Reducto's careers page and normalized into a canonical job model.