Staff Machine Learning Engineer, Shopping Ads

About the Position

Staff Machine Learning Engineer, Shopping Ads

San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US

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. We’re looking for a Staff Machine Learning Engineer to help drive the future of merchant presence and shopping experiences on Pinterest.

This role sits on the Merchant team and focuses on building AI/ML systems (including LLMs) that identify, understand, and surface relevant, high-quality merchants across segments-so Pinners can discover new brands with greater confidence and consideration, and merchants can reach new, diverse audiences.

Responsibilities

• Own end-to-end technical delivery for cross-team initiatives-from problem framing and technical strategy through architecture, implementation, rollout, monitoring, and iteration.
• Set technical direction and execution plans in partnership with a Director and cross-functional leads, including defining milestones, sequencing, and quality bars for the domain.
• Build and evolve ML and GenAI systems that improve merchant quality and understanding (e.g., merchant content enrichment, attribute extraction/normalization, entity resolution, merchant/brand quality signals, and policy-aware transformations), with clear downstream impact on retrieval, ranking, and shopping surfaces.
• Establish robust evaluation and measurement practices across ML + LLM-assisted systems, including golden datasets, human-in-the-loop review loops, automated regression testing, offline/online metric alignment, and clear go/no-go launch criteria for quality, safety, and performance.
• Design systems with strong attention to quality, cost, latency, reliability, and safety, including guardrails, fallbacks, caching, and observability to support scaled production operations.
• Establish the ML engineering operating model for the org (where applicable): evaluation standards, launch readiness reviews, monitoring/alerting, and sustainable ownership practices to keep quality high as the roadmap scales.
• Partner with cross-functional stakeholders across Product, Engineering, Data Science, Design, Trust/Policy/Legal, and ML platform teams to align on goals, constraints, and rollout plans-and to turn ambiguous needs into concrete ML deliverables.
• Drive experimentation and iteration (A/B tests, holdouts), lead error analysis, and translate learnings into measurable improvements to user trust and shopping outcomes.
• Mentor and raise the bar for technical design, evaluation rigor, and production readiness across the team-enabling faster, safer iteration with AI/ML tooling and best practices.
• Help scale the domain by supporting hiring and onboarding over time (e.g., interview loops, onboarding plans, technical mentorship), as we build out ML engineering capacity.

Requirements

• 8+ years of industry experience in ML engineering / applied ML / software engineering, including meaningful time operating as a Staff-level (or equivalent) IC delivering complex production systems.
• Demonstrated ability to lead 0→1 ML/LLM efforts: taking ambiguous problem spaces, defining the approach, and delivering a production system with measurable impact.
• Strong track record shipping ML-powered systems in domains such as recommendation, ranking, retrieval, content understanding, ads relevance, commerce, or adjacent areas with clear product impact.
• Hands-on experience building LLM-powered applications in production (or adjacent GenAI systems), with strong judgment on reliability, failure modes, rollout safety, and practical tradeoffs.
• Deep experience with evaluation and measurement: dataset strategy, labeling/review operations, metric design, regression testing, and connecting offline improvements to online outcomes.
• Strong systems design skills building data- and ML-intensive systems, with the ability to navigate tradeoffs in performance, reliability, scalability, and cost.
• Strong communication skills and the ability to influence technical direction across teams without directly owning every implementation detail.
• Demonstrated experience building and enhancing cross-functional partnerships with other teams and organizations.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field-or equivalent practical experience.

We Offer

• Competitive salary range: $222,716-$389,753 USD
• Equity eligibility
• Opportunity to work in a dynamic and innovative environment

About the Company

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.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

• This role will need to be in the office for in-person collaboration 1-2 times per month and therefore needs to be in a commutable distance from one of the following offices: San Francisco, Palo Alto, Seattle.

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.