Senior Staff Software Engineer (AI Platform)

Company: Pinterest

Location: Palo Alto, CA, US (Remote)

Salary: $208.6k - $429.5k per year

Type: Full-time

Remote: Yes

Posted: 2026-10-28

About this role

  • As a Senior Staff Software Engineer on the AI Platform team, you will shape and scale Pinterest’s AI/ML evaluation platform into a unified, reliable system adopted company-wide
  • You will identify modernization opportunities, elevate the roadmap, and execute technical strategy of a durable evaluation system for GenAI and ML workloads at Pinterest, partnering across engineering, research, product, and safety to improve quality, launch decisions, and trust in AI-powered experiences
  • Identify modernization opportunities and scale the roadmap for a company-wide evaluation system in partnership with technical leadership
  • Define cross-team technical strategy, align partner teams, and drive broad adoption of shared evaluation capabilities
  • Make durable architectural decisions that improve the user experience and reliability of Pinterest’s AI/ML evaluation platform
  • Establish evaluation methodologies and standards that balance automated metrics, expert judgment, human feedback, safety, and business outcomes
  • Lead complex cross-team workstreams, resolve technical tradeoffs and risks, and deliver impact
  • Deep familiarity with GenAI and RecSys evaluation libraries and frameworks, AutoEvals, OpenEvals, Ragas, etc
  • 3+ years of deep, hands-on experience designing and operating evaluation systems for GenAI and complex ML systems, including benchmark design, golden datasets, automated metrics, human evaluation, model-based grading, and failure analysis
  • Strong programming skills in Python coupled with a solid grasp of distributed systems principles, and comfortable iterating with AI tools on coding and design
  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience
  • Strong judgment around GenAI risks, including robustness, bias, privacy, security, and the limitations of automated evaluation signals
  • 5+ years of experience building scalable platforms for distributed experimentation, data and model versioning, orchestration, obse...

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