# Staff Software Engineer, Trends Machine Learning Infrastructure

**Company**: Pinterest
**Location**: San Francisco, CA
**Work arrangement**: remote
**Experience**: staff
**Job type**: full-time
**Salary**: $177,185-$364,795 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/pinterest/jobs/7960984?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_a313919d-46c

## Description

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.

The Trends & Insights Engineering team builds the products that turn Pinterest's unique signal what hundreds of millions of people are planning, dreaming about, and shopping for into actionable intelligence for advertisers. As a Staff Software Engineer on this team, you'll lead the technical evolution of Pinterest Trends and Audience Insights into a unified, AI-powered insights platform that shapes how advertisers plan campaigns, allocate budget, and create content across the Pinterest Ads ecosystem.

Responsibilities:

- 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.

Requirements:

- 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.

Benefits:

- Salary: $177,185-$364,795 USD

- Equity

Note: In-person collaboration is required once every quarter; candidates must reside within commuting distance of our San Francisco or Palo Alto hubs.

## Skills

### Required
- AI-powered platforms
- large-scale data
- ML-powered platforms
- data pipelines
- AI coding tools
- Cursor
- Claude Code
- Codex
- product launch
- engineering workflows
- critical evaluation
- verification of AI-assisted work

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/pinterest/jobs/7960984?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)