# Manager II, Machine Learning Engineering-Content Foundation

**Company**: Pinterest
**Location**: San Francisco, CA
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $222,716-$389,753 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/pinterest/jobs/8152750?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_79977fcd-7af

## Description

Millions of people around the world come to Pinterest 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 Content Foundation ML team is responsible for understanding the semantic meaning of Pinterest content and generating high-quality, reusable signals and insights that power relevance and personalization across the platform. We work at the intersection of machine learning, large multimodal models, data infrastructure, and product adoption to build foundational content understanding capabilities that support Discovery, Search, Growth, and Ads.

As a Manager II, Machine Learning Engineering-Content Foundation, you will:

- Lead, mentor, and grow a team of engineers and applied scientists in developing foundational content understanding signals, infrastructure, and systems that are integral to key Pinterest products across Discovery, Search, Growth, and Ads.

- Provide thought leadership in content understanding and machine learning by setting a long-term technical vision for semantic signal generation, reusable foundational layers, and scalable model-powered infrastructure.

- Manage project execution and stakeholder communication, including roadmap planning, technical decision-making, risk mitigation, and progress updates to achieve business goals.

- Help the team solve difficult technical challenges such as leveraging the latest VLM and LLM technologies, building reusable foundational layers, improving inference throughput, and measuring downstream impact.

Requirements:

- 7+ years of industry experience, including 2+ years of management experience.

- Master's degree in computer science, computer engineering, or equivalent work experience.

- Publication at top machine learning and data mining conferences.

- Experience with large-scale distributed training and inference of LLM and VLM models, distributed tooling for ML data pipelines, and leading ambiguous ML projects.

- Proven technical leadership across both ML and Data systems, with experience setting direction for multi-quarter roadmaps and aligning stakeholders.

- Excellent cross-functional communication and collaboration skills.

Benefits:

- Salary range: $222,716-$389,753 USD

- Equity eligibility

- Flexible working model

- Opportunities for growth and development

## Skills

### Required
- large-scale distributed training
- inference of LLM and VLM models
- distributed tooling for ML data pipelines
- leading ambiguous ML projects
- technical leadership
- cross-functional communication

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/pinterest/jobs/8152750?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)