Shape and scale Pinterest’s AI/ML evaluation platform as a Senior Staff Software Engineer on the AI Platform team.
Posted by employer 1 day ago
First seen on Joblaze 1 day ago
Last verified on the company career page 1 day ago
Skills & Technologies
What you'll build
- Identify modernization opportunities
- Define cross-team technical strategy
- Make architectural decisions
- Establish evaluation methodologies
- Lead complex cross-team workstreams
Must have
- 3+ years of experience designing evaluation systems for GenAI
- Strong programming skills in Python
- 5+ years of experience building scalable platforms
Nice to have
- Deep familiarity with GenAI and RecSys evaluation libraries
- Comfortable iterating with AI tools
Practical constraints
- In-office collaboration 1-2 times/quarter
- No relocation assistance
AI in the day-to-day
AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact.
Requirements
- Experience
- 5+ years
- Education
- Bachelor's degree
- Visa
- No sponsorship (stated in posting)
Benefits
Joblaze summary
In the role of Senior Staff Software Engineer on the AI Platform team at Pinterest, the individual will focus on developing and scaling a unified evaluation system for AI and machine learning applications. Key skills include extensive experience with evaluation systems, strong programming abilities in Python, and a solid understanding of distributed systems. This position is suited for seasoned professionals with a background in AI/ML who can navigate complex technical challenges and drive cross-team collaboration. The team emphasizes a collaborative approach, gathering in-person for key moments while allowing flexibility in work arrangements.
Joblaze insights
- Listed yesterday — first seen on Joblaze October 7, 2026. Last confirmed on Pinterest's careers page October 7, 2026.
- Salary band is in line with the typical range for AI/ML roles (median ~$190,000).
- Starts above 41% of 105 comparable staff ai/ml roles in United States that list Python we track (median $228,000 across 43 companies). See Python salary trends
- Python appears in 51.1% of 270 comparable staff ai/ml roles in United States; GenAI appears in 3.3% of 270 comparable staff ai/ml roles in United States.
Quick facts
- Is the Sr. Staff Software Engineer, AI Platform role remote?
- It's hybrid — Pinterest expects some on-site time in Palo Alto, CA, United States.
- What's the salary range?
- Pinterest lists $208,592–$429,454 for this role.
- How much experience is required?
- At least 5 years of relevant experience for this Sr. Staff Software Engineer, AI Platform role.
- Where is the role based?
- Pinterest is hiring for this position in Palo Alto, CA, United States.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: GenAI, ML, Python, distributed systems, evaluation systems.
- What seniority level is this role?
- Pinterest targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Sr. Staff Software Engineer, AI Platform role at Pinterest.
From the original posting
About Pinterest:
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 workstreams, 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 RecSys evaluation libraries and frameworks, AutoEvals, OpenEvals, Ragas, etc
- 5+ 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 moments of collaboration and connection.
- This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
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At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Our Commitment to Inclusion:
Standard company text repeated across Pinterest's postings is omitted here.