# Staff Machine Learning Engineer, Content Visual AI

**Company**: Pinterest
**Location**: San Francisco, CA, US; New York City, NY, US; Seattle, WA, US; Remote, US
**Work arrangement**: remote
**Experience**: staff
**Job type**: full-time
**Salary**: $189,308-$389,753 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/pinterest/jobs/8247246?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_2e93af54-64e

## Description

At Pinterest, AI isn't just a feature, it's a powerful partner that augments creativity and amplifies impact. The User and Content Foundations org generates high-quality signals and insights that power relevance and personalization across the platform.

We are looking for an experienced Staff Machine Learning Engineer / Technical Lead who can drive the team's technical direction, lead the team in building scalable content understanding systems, and make an impact on core Pinterest user and business outcomes.

**Responsibilities:**

- Set the technical direction and multi-quarter strategy for foundational ML capabilities across visual representation learning, multimodal content understanding, and LLM-based personalization.

- Lead high-impact scientific and technical initiatives from problem definition and research strategy through experimentation, productionization, and adoption.

- Build reusable embeddings, representations, semantic signals, and ML infrastructure while advancing techniques such as VLMs, LLMs, sequence modeling, self-supervised learning, retrieval, and distillation.

- Partner with Product, Data Science, Applied Science, and Engineering to translate foundational capabilities into product outcomes and influence cross-functional roadmaps and investments.

- Establish rigorous practices for modeling, data pipelines, distributed training, inference, evaluation, experimentation, and operational excellence while mentoring engineers and scientists.

**Requirements:**

- Minimum 7 years of industry experience, including 2+ years of tech leading teams.

- MS or PhD degree in computer science, machine learning, or equivalent industry experience.

- Publications at top machine learning, multimodal and/or data mining conferences (e.g., NeurIPS, ICML, CVPR, ECCV, ACL, KDD, SIGIR, etc.) or open-source ML experience.

- Hands-on experience with large-scale distributed training of generative models (LLMs, VLMs, sequence models).

- Hands-on experience with distributed tooling for ML data pipelines (e.g. Spark, Hive, MapReduce).

- Hands-on experience leading ambiguous ML and research efforts in building, applying and improving GenAI models for content understanding, search and recommendation systems.

- Technical leadership and experience in setting direction for roadmaps that span modeling, data pipelines and productionization, and aligning stakeholders on priorities, trade-offs, and execution plans.

- Excellent cross-functional communication and collaboration skills.

**Salary:** $189,308-$389,753 USD

## Skills

### Required
- machine learning
- large-scale distributed training
- multimodal content understanding
- LLM-based personalization
- technical leadership

### Nice to have
- visual representation learning
- content understanding
- user understanding
- recommender systems
- LLMs

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/pinterest/jobs/8247246?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)