Product Engineer

Physical Intelligence
San Francisco
Workplace: OnsiteFull timeFunction: Communications, PR & CommunityExperience: 5+ yearsSkills: ["Communication","Operations acumen","Bias to iterate","Hands-on review"]

Own quality assurance and audit for externally sourced multimodal data used to train robot foundation models. Build and run end-to-end QA workflows, define measurable quality rubrics with researchers, and develop software tooling that scales sampling, internal checks, and vendor feedback. Help enforce quality standards through structured vendor quality loops and track data-quality trends so training data is verified before it reaches the model pipeline.

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FursaFursa
Physical Intelligence
Physical Intelligence
1 day ago

Product Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Own quality assurance and audit for externally sourced multimodal data used to train robot foundation models. Build and run end-to-end QA workflows, define measurable quality rubrics with researchers, and develop software tooling that scales sampling, internal checks, and vendor feedback. Help enforce quality standards through structured vendor quality loops and track data-quality trends so training data is verified before it reaches the model pipeline.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Communications, PR & Community

Key Responsibilities

  • •Own external data QA & audit by building and running the end-to-end QA process for third-party multimodal data.
  • •Define quality standards with researchers by translating “good data” into measurable rubrics and acceptance criteria.
  • •Build and automate the QA system via software interfaces, tooling, and infrastructure for sampling, internal checks, and audit trails.
  • •Manage vendor quality loops by delivering structured feedback, coaching vendors on QA checks, and iterating until QA aligns.
  • •Track and expose data-quality dips from vendors back to the vendors and internal teams.

Key Requirements

  • •~5 years of experience building customer-facing software.
  • •Experience working directly with third-party data providers, delivering actionable feedback, and improving output quality.
  • •Strong ops acumen with a bias to instrument, measure, and iterate quickly.
  • •Comfort reviewing data samples yourself, writing/refining rubrics, and spot-checking results.
  • •Clear written and verbal communication across researchers, operations teams, and external partners.
Experience:5+ yearsMultimodal dataRobotics
Skills:CommunicationOperations acumenBias to iterateHands-on review

Company Brief

Physical Intelligence
Develops large-scale AI models and learning algorithms to enable general-purpose intelligence for robots and physically-actuated devices, aiming to power a wide range of real-world robotic tasks and applications.
Industry: Robotics
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series B
Headquarters: San Francisco, United States
Founded: 2024
Glassdoor
Glassdoor: 4.1
WebsiteLinkedIn