This role pays less than
61%
of similar roles. Most pay
$191,537–$254,750
— the shaded band above.
At the midpoint, this role pays about
$212k
versus about
$223k
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.
Machine Learning Engineer II, Responsible AI joins the Advanced Technologies Group as part of a horizontal team focused on ethical machine learning. This role involves identifying and mitigating bias across various applications, including generative AI, while collaborating with engineering teams to implement fairness tooling and safety measures. The engineer will develop advanced ML approaches rooted in equity, mentor junior staff, and help define technical strategies for responsible AI. Key responsibilities include building features like skin tone or hair pattern search refinements. Candidates must possess experience with transformer-based models, 2-tower architectures, LLMs, and large-scale search and recommender systems. The role requires expertise in multi-modal signals including image, text, and graph data to solve problems related to fairness, safety, and alignment within a high-scale, real-time interactive environment for diverse user content.
What does a Machine Learning Engineer earn in California?
Median $246394 from 172 postings across 28 companies.
Identify and mitigate bias across a wide range of machine learning applications, including generative AI.
Develop advanced ML approaches rooted in fairness and equitability for large-scale production systems.
Implement responsible AI safeguards and evaluations to ensure models are safe and aligned with company policies.
Partner with engineering teams to integrate Responsible AI practices and fairness tooling across the platform.
Define and drive technical strategy for responsible AI initiatives alongside senior leadership.
Mentor junior engineers on the Responsible AI team and across the organization.
Bridge state-of-the-art research with tangible product impacts in search and recommender systems.
What we're looking for
Must have a Master's degree or PhD in Computer Science or a related field.
Must be a US-based applicant.
Requires extensive real-world experience applying advanced ML methods to production systems with a focus on responsible technology.
Requires deep familiarity with cutting-edge ML architectures like transformer-based models, 2-tower architectures, and LLMs for large-scale search and recommendation systems.
Must have proven ability to measure, deploy, and refine fairness interventions and Responsible AI solutions at scale.
Requires at least 2 years of experience in engineering teams building large-scale ML-driven user-facing products.
Preferred experience includes publications at top ML conferences.
Preferred expertise includes scalable real-time systems processing stream data and familiarity with AI coding assistants.
Remote (San Francisco, CA)+27 days ago
$138,905–$285,982
Machine Learning
Deep Learning
Recommendation Systems
Natural Language Processing
Reinforcement Learning
Graph Representation Learning
Hadoop
Spark
SQL
Big Data
Data Processing Pipelines
realtime systems
Cursor
Copilot
Codex
Remote (San Francisco, CA)+27 days ago
$189,721–$332,012
Machine Learning
Deep Learning
Recommendation Systems
Natural Language Processing
Reinforcement Learning
Graph Representation Learning
Hadoop
Spark
SQL
Big Data
realtime systems
LLM
Copilot
Codex
Cursor
Machine Learning
Recommendation Systems
LLM
Generative AI
NLP
Data Science
Agentic Workflows
Embeddings
Web-scale Data
Research to Production
ML Research