Senior Machine Learning Engineer, Applied Science

Pinterest

Confirmed live today High trust
Remote

Quick summary

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

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $226k
This role $247k
$141k $353k
below market most similar roles pay here above market

This role pays more than 68% of similar roles. Most pay $198,000–$254,750 — the blue band above. At the midpoint, this role pays about $247k versus about $226k 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 76 open roles on FindRole.

Listed pay typically runs $177,185–$339,078 across 70 roles with salary data.

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View all roles at Pinterest

At a glance

TL;DR · Senior Machine Learning Engineer, Applied Science

The Sr. Machine Learning Engineer, Applied Science joins the visual modeling team within Pinterest Labs to develop Pinterest Canvas, an internal foundation text-to-image model. Working in a small, collaborative pod, you will prototype new model architectures, implement diffusion text-to-image models, and build large-scale generative models for visualization, inpainting, and outpainting products. Your daily responsibilities include reading research papers, brainstorming visual generative strategies, collecting training data for RLHF and fine-tuning, and mentoring junior researchers. You will utilize rich visual-text datasets and multimodal text and image embeddings to improve core product features. Required expertise includes five years of industry computer vision experience, a Master's or PhD in Machine Learning or Computer Science, and proficiency with generative computer vision models, specifically various forms of diffusion models.

What does a Machine Learning Engineer earn in California?

Median $235750 from 200 postings across 34 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

  • Candidates must have an M.S. or PhD in Machine Learning, Computer Science, or related fields.
  • Applicants must have 5+ years of industry experience in computer vision.
  • Experience working with generative computer vision models is required.
  • Experience with various forms of diffusion models is preferred.
  • Publications at top ML conferences are preferred.
  • Experience using AI coding assistants like Cursor, Copilot, or Codex is preferred.
  • Familiarity with LLM-powered productivity tools for documentation, analysis, and engineering workflows is preferred.

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