# Staff Software Engineer, Trends Machine Learning Infrastructure

**Company:** [Pinterest](https://hotfix.jobs/companies/pinterest)
**Location:** San Francisco, CA
**Role:** ML Engineering
**Salary:** $177k – $365k/yr
**Experience:** 8+ years
**Skills:** Python, Machine Learning, LLMs, Data Pipelines, Scalable Systems, Ai Coding Tools, Cursor, Claude Code, Codex, Cross-Functional Collaboration
**Posted:** 2026-06-23

> Lead technical direction for Pinterest's unified AI-powered Trends and Audience Insights platform. Architect scalable ML data pipelines and LLM capabilities while mentoring engineers and driving cross-team integrations.

## Job Description

## What you’ll do

- Set the technical direction for a unified, audience-first insights platform that powers Pinterest Trends, Audience Insights, and recommendations embedded across Ads Manager surfaces.
- Architect scalable data pipelines and systems that generate reusable, personalized insights from Pinterest's trend, audience, and content signals.
- Lead delivery of high-impact roadmap bets such as Trends Digest, Moments, Topics expansion, and Product Attributes from prototype to production.
- Build LLM-powered capabilities (summarization, classification, conversational insights, agentic review) with strong safety, quality, and evaluation guardrails.
- Partner with Product, Design, Data Science, and Ads org teams to bring proactive, contextual insights into advertiser workflows beyond standalone surfaces.
- Use AI to accelerate prototyping, design exploration, and code generation iterating across more options earlier while applying engineering judgment and verification to ensure correctness and quality.
- Use AI to synthesize research, summarize large datasets, and automate repeatable engineering tasks like documentation, test generation, and data QA checks.
- Mentor engineers across the team, raise the technical bar, and establish measurement practices that connect insight quality to advertiser adoption and revenue impact.

## What we’re looking for

- Bachelor's degree in Computer Science, a related field, or equivalent experience.
- 8+ years of software engineering experience, including significant time designing large-scale data or ML-powered platforms that serve customer-facing products.
- Ability to work with cross-functional partners across multiple organizations.
- Hands-on experience building tools and data pipelines leveraging AI coding tools, e.g. Cursor, Claude Code, Codex, etc.
- Experience as the product-engineering counterpart on an AI-first product launch from prototype to scale.
- Demonstrated experience using AI to accelerate engineering and analysis workflows, with a clear approach to validating accuracy, performance, and quality.
- Strong track record of critical evaluation and verification of AI-assisted work — testing, source-checking, data validation, and peer review.
- Experience leading cross-surface product integrations across multiple teams and organizational boundaries, not just standalone tools.

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