Pinterest
Direct employer career site

Staff Machine Learning Engineer

Pay
$227,871 – $469,147 per year
Location
San Francisco, CA (Remote) · Hybrid
Job type
Full-time
Level
Lead / Staff
Experience
6+ years
Education
Master's degree
Listed
13 days ago

Skills & highlights for this role

  • Machine Learning
  • Recommendation Systems
  • Reinforcement Learning
  • Large-Scale Systems
  • Research to Production Delivery
  • Technical Leadership
  • Cross-Functional Collaboration

Also useful

  • LLM Post-Training
  • VLM Experience
  • Publications at Top ML Conferences (KDD, NeurIPS, RecSys)
  • Generative Recommendation Systems

What you’ll do

  • 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 timelines and obtain resources needed.
  • Identify new and upcoming research opportunities by interacting with external and internal collaborators. Own long-term research strategy and plans to expand the impact of Applied Science.
  • Act as a technical leader in the applied AI space.
  • p artner with Product, Engineering, and Data Science to translate complex engineering solutions into product impact.

What we’re looking for

  • 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; experience with LLM/VLM post-training is a plus
  • Technical leadership and experience in driving ambiguous research problems into production deliverables
  • Publications at top ML conferences (e.g. KDD, NeurIPS, RecSys, etc.)
  • Cross-functional collaborator and strong communicator

In-Office Requirement Statement

  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  • Relocation Statement: This position is not eligible for relocation assistance. Visit our
  • PinFlex page to learn more about our working model.
  • #LI-REMOTE
  • #LI-DM57

Pay and benefits

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only $227,871—$469,147 USD

Our Commitment to Inclusion

By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

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.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

About Pinterest

Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. As a Pinterest employee, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping users make their lives better in the positive corner of the internet.

Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our

  • PinFlex landing page to
  • Staff Machine Learning Engineer, Applied Science
  • As part of
  • Pinterest Labs

, 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.

Read the original posting

From Pinterest's careers page, first listed on Rolev.ai on October 27, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

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Common questions

What is the salary for the Staff Machine Learning Engineer role at Pinterest?

The Staff Machine Learning Engineer posting at Pinterest states compensation of $227,871 – $469,147 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Pinterest's official career site.

Where is the Staff Machine Learning Engineer job at Pinterest located?

Yes, this Staff Machine Learning Engineer opening at Pinterest is listed as San Francisco, CA (Remote) (Hybrid). Always check Pinterest's application page for specific state eligibility or relocation policies.

What qualifications are required for Staff Machine Learning Engineer at Pinterest?

For the Staff Machine Learning Engineer role, Pinterest highlights 6+ years of relevant experience; a master's degree; experience with Machine Learning, Recommendation Systems, Reinforcement Learning, Large-Scale Systems, Research to Production Delivery, Technical Leadership. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Staff Machine Learning Engineer position at Pinterest?

This listing links directly to Pinterest's application page. You can apply directly on Pinterest's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.