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Sr. Software Engineer, AI Platform

Job in Palo Alto, Santa Clara County, California, 94302, USA
Listing for: Pinterest
Full Time position
Listed on 2026-10-09
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Engineer, Machine Learning/ ML Engineer, Software Architect
Job Description & How to Apply Below
Position: Sr. Staff Software Engineer, AI Platform
About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think.

You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

The AI Platform team delivers essential tools and infrastructure utilized by hundreds of AI and ML engineers across Pinterest, powering crucial functions such as recommendations, ads, visual search, growth/notifications, and trust and safety. Our primary objectives are to ensure AI and ML systems maintain production-grade quality and enable rapid iteration for our customers.

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.

What you’ll do:

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 work streams, resolve technical tradeoffs and risks, and deliver impact

What we’re looking for:

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

Deep familiarity with GenAI and Rec Sys evaluation libraries and frameworks, Auto Evals, Open Evals, Ragas, etc5+ years of experience building scalable platforms for distributed experimentation, data and model versioning, orchestration, observability, release management, and production monitoring

Strong judgment around GenAI risks, including robustness, bias, privacy, security, and the limitations of automated evaluation signals

Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience

In-Office Requirement Statement:
We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key…
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