Senior Machine Learning Engineer, Applied Science

Pinterest

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
San Francisco, CA
Salary
$161,263–$332,012 / yr
Posted
7 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $224k
This role $247k
$141k most similar roles pay here $353k

This role pays more than 65% of similar roles. Most pay $194,125–$254,750 — the shaded band above. At the midpoint, this role pays about $247k versus about $224k for comparable roles.

Based on 240 similar postings.

Employer

About Pinterest

Pinterest is a visual discovery and inspiration platform where people find ideas for home, style, recipes, and more. It serves hundreds of millions of users worldwide through its image and video pinboard product.

Pinterest currently has 82 open roles on FindRole.

Listed pay typically runs $164,695–$337,990 across 82 roles with salary data.

Most-posted roles

View all roles at Pinterest

At a glance

TL;DR · Senior Machine Learning Engineer, Applied Science

Sr. Machine Learning Engineer, Applied Science joins the visual modeling team within Pinterest Labs to develop and improve Pinterest Canvas, an internal foundation text-to-image model used for visualization, inpainting, and outpainting products. Working in a small, collaborative pod, you will prototype new model architectures, research papers, and brainstorm visual generative strategies while managing the collection of training data for RLHF and targeted fine-tuning. You will also contribute to multimodal text and image embeddings. The role requires expertise in generative computer vision models, specifically diffusion models, and involves mentoring junior researchers and publishing work at conferences or via blog posts. Required skills include a Master’s or PhD in Machine Learning or Computer Science and over five years of industry experience. Familiarity with AI coding assistants like Cursor or Copilot is also valued for accelerating engineering workflows.

What does a Machine Learning Engineer earn in California?

Median $246394 from 172 postings across 28 companies.

See salary data

What you'll do

  • Prototype new model architectures for the Pinterest Canvas text-to-image generative model.
  • Implement and develop large-scale generative models to power production visualization features.
  • Develop core multimodal text and image embeddings to condition generative models.
  • Collect and curate relevant visual training data for RLHF and targeted fine-tuning.
  • Research and brainstorm the company's overall visual generative strategy based on current research papers.
  • Publish and publicize research findings through conference submissions, blog posts, and other media.
  • Mentor junior researchers and interns within the Pinterest Labs organization.

What we're looking for

  • Must have an M.S. or PhD in Machine Learning, Computer Science, or a related field.
  • Must have 5+ years of industry experience in computer vision.
  • Must have hands-on experience working with generative computer vision models and diffusion text-to-image models.
  • Must possess independent model implementation skills.
  • Ability to read research papers and contribute to the company's visual generative strategy.
  • Experience publishing work at top ML conferences is preferred.
  • Familiarity with AI coding assistants like Cursor, Copilot, or Codex is preferred.
  • Familiarity with LLM-powered productivity tools for data exploration and engineering workflows is preferred.

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