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Machine Learning Engineer, Core Engineering

Location
San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US; Remote, US
Compensation
$138.9k–$286.0k/yr
Level
mid
Type
full time · Remote

Posted by employer 2 years ago

First seen on Joblaze 6 months ago

Last verified on the company career page 1 day ago

Requirements

Experience
2+ years
Education
Bachelor's degree

Not disclosed in this posting: visa sponsorship.

Benefits

Equity/Stock Options Remote Work

Joblaze insights

  • Listed about 6 months ago — first seen on Joblaze April 15, 2026. Last confirmed on Pinterest's careers page October 29, 2026.
  • Salary band is below the typical range for AI/ML roles (median ~$190,000).
  • Starts above 27% of 92 comparable mid ai/ml roles in United States that list AI/ML we track (median $150,000 across 38 companies). See AI/ML salary trends
  • AI/ML appears in 51.8% of 475 comparable mid ai/ml roles in United States; graph representation learning appears in 0.2% of 475 comparable mid ai/ml roles in United States.

Quick facts

Is the Machine Learning Engineer, Core Engineering role remote?
Yes — Pinterest lists this as a fully remote position.
What's the salary range?
Pinterest lists $138,905–$285,982 for this role.
How much experience is required?
At least 2 years of relevant experience for this Machine Learning Engineer, Core Engineering role.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI/ML, Deep Learning, Hadoop, Machine Learning, Natural Language Processing, Personalization.
What seniority level is this role?
Pinterest targets mid-level candidates for this position.
Is this full-time or contract?
Full-time for this Machine Learning Engineer, Core Engineering role at Pinterest.

From the original posting

About Pinterest:

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else.

What you’ll do:

  • Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  • Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  • Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  • Work in a high-impact environment with quick experimentation and product launches
  • Keeping up with industry trends in recommendation systems

What we’re looking for:

  • 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  • End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  • Bachelor’s degree in computer science, machine learning, statistics, a related field or equivalent experience
  • Nice to have:
    • M.S. or PhD in Machine Learning or related areas
    • Publications at top ML conferences
    • Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
    • Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration
    • Expertise in scalable realtime systems that process stream data
    • Passion for applied ML and the Pinterest product

#LI-SA1

#LI-REMOTE

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.

US based applicants only
$138,905—$285,982 USD

Our Commitment to Inclusion:

Standard company text repeated across Pinterest's postings is omitted here.

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