Pinterest
Pinterest
1 001 – 5 000 Қызметкерлер
H1B визасының демеушісіB2CМедиа
Pinterest — адамдар шабыт тауып, идеяларды сақтап, оларды қызығушылықтары, жобалары мен сатып алулары бойынша реттейтін визуалды іздеу платформасы. Оның қызметі үй дизайны, сән, рецепттер және іс-шаралар сияқты тақырыптарда жекелендірілген ұсыныстар мен визуалды іздеуді біріктіреді, сондай-ақ сауда құралдары мен жарнама арқылы авторлар мен бөлшек саудагерлерге аудиторияға жетуге көмектеседі.

Senior Staff Software Engineer, AI Platform - Palo Alto Hybrid

Lead the strategy, architecture, and adoption of Pinterest’s AI and machine learning evaluation platform. Help establish reliable evaluation practices for GenAI experiences across the company.

Сипаттама

  • Identify modernization opportunities and expand the roadmap for a company-wide evaluation system with technical leadership
  • Set cross-functional technical direction, align partner teams, and increase adoption of shared evaluation capabilities
  • Make long-term architectural decisions that strengthen the user experience and reliability of Pinterest’s AI and ML evaluation platform
  • Develop evaluation methods and standards that combine automated metrics, expert review, human feedback, safety, and business outcomes
  • Lead complex initiatives across teams, manage technical tradeoffs and risks, and deliver measurable impact
  • Evolve Pinterest’s AI and ML evaluation platform into a unified, dependable system used across the company
  • Work with engineering, research, product, and safety teams to improve quality, launch decisions, and confidence in AI-powered experiences

Талаптар

  • At least 3 years of hands-on experience designing and operating evaluation systems for GenAI and complex machine learning systems
  • Experience creating benchmarks and golden datasets, applying automated metrics and human evaluation, using model-based grading, and analyzing failures
  • Strong proficiency in Python
  • Working knowledge of distributed systems principles
  • Ability to iterate effectively with AI tools during coding and system design
  • Extensive knowledge of GenAI and recommendation-system evaluation libraries and frameworks, including AutoEvals, OpenEvals, and Ragas
  • At least 5 years of experience developing scalable platforms for distributed experimentation, data and model versioning, orchestration, observability, release management, and production monitoring
  • Sound judgment regarding GenAI risks such as robustness, bias, privacy, security, and the limits of automated evaluation signals
  • Bachelor’s degree in computer science, engineering, or a related discipline, or equivalent experience

Артықшылықтар

  • Eligibility for equity
  • Flexible PinFlex work model
  • In-person collaboration once or twice per quarter
  • Equal opportunity workplace
  • Medical or religious accommodation support during the application process

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