# Staff Machine Learning Engineer

**Company**: Pinterest
**Location**: San Francisco, CA
**Work arrangement**: remote
**Experience**: staff
**Job type**: full-time
**Salary**: $227,871-$469,147 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/pinterest/jobs/8015543?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_d1618f1a-7db

## Description

As a Staff Machine Learning Engineer at Pinterest, you'll work on tackling new challenges in machine learning and artificial intelligence along with a world-class team of research scientists and machine learning engineers.

In this role, you will play a central part in transforming how content is discovered on Pinterest by driving the research, architecture, scale and production deployment of Generative Recommendation System (GenRec) and Reinforcement Learning solutions.

You will conduct research that directly applies across Pinterest engineering teams, engage in external collaborations and mentoring, and perform research in the intersection of recommendation systems, LLMs, VLMs, and reinforcement learning.

Responsibilities:

- Contribute to cutting-edge AI/ML research that can be applied to Pinterest challenges across Ads, Discovery, Growth, and Search.

- Identify, scope, architect, build, and deliver full, novel ML solutions from 0 to 1 at scale.

- Identify new and upcoming research opportunities by interacting with external and internal collaborators.

- Act as a technical leader in the applied AI space, partner with Product, Engineering, and Data Science to translate complex engineering solutions into product impact.

Requirements:

- MS/PhD in Computer Science, or equivalent industry experience

- Minimum 6 years of relevant industry experience

- Hands-on experience with large-scale recommendation system and reinforcement learning applications

- Technical leadership and experience in driving ambiguous research problems into production deliverables

- Publications at top ML conferences (e.g. KDD, NeurIPS, RecSys, etc.)

Benefits:

- The position is eligible for equity.

- Base salary range: $227,871-$469,147 USD

## Skills

### Required
- Machine Learning
- Artificial Intelligence
- Recommendation Systems
- Reinforcement Learning
- LLMs
- VLMs

### Nice to have
- Large-scale recommendation systems
- Post-training LLM/VLM

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/pinterest/jobs/8015543?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)