Principal Engineer, AI Platform

Pinterest

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Palo Alto, CASan Francisco, CA
Salary
$242,634–$499,541 / yr
Posted
7 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $208k
This role $371k
$102k most similar roles pay here $542k

This role pays more than 99% of similar roles. Most pay $174,250–$242,635 — the shaded band above. At the midpoint, this role pays about $371k versus about $208k 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 · Principal Engineer, AI Platform

As a Principal Engineer on the AI Platform team, you will architect the infrastructure powering Generative AI and Recommender Systems across the entire product suite. You will establish the technical vision and roadmap for the platform while driving cross-functional initiatives involving multimodal data management, post-training, evaluation, feature stores, and high-performance inference. Your daily work involves building end-to-end engines for petabyte-scale data orchestration and model training to ensure systems scale to hundreds of millions of inferences per second. The role requires deep expertise in AI/ML infrastructure and distributed systems, with a focus on designing production-grade systems at large scale. You must demonstrate proficiency in C++, Java, or Rust while navigating ambiguity to influence architecture decisions. This position solves the technical challenge of scaling complex machine learning lifecycles for high-volume user engagement across various platforms.

What does a Engineer earn in California?

Median $208000 from 94 postings across 22 companies.

See salary data

What you'll do

  • Architect infrastructure for Generative AI and Recommender Systems across Pinterest's entire product suite.
  • Develop engines for petabyte-scale data orchestration, model training, fine-tuning, and high-performance inference.
  • Establish the technical vision and roadmap for the AI Platform aligned with business priorities.
  • Manage multimodal data, post-training, evaluation, and batch/online inference for Generative AI.
  • Build feature stores and training infrastructure to support large-scale recommender systems.
  • Create AI-powered tools to automate user experiences and accelerate the development of the ML lifecycle.
  • Lead cross-organizational initiatives and influence architecture decisions across multiple teams and executives.
  • Ensure high engineering standards for production-grade, highly available distributed systems at scale.

What we're looking for

  • Bachelor's degree in Computer Science or a related field.
  • Deep expertise in AI/ML infrastructure and distributed systems.
  • Experience designing, building, and operating high-availability, production-grade systems at scale.
  • Proficiency in at least one of C++, Java, or Rust.
  • Proven track record of leading cross-organizational initiatives and defining technical strategy.
  • Ability to influence architecture decisions and align cross-functional partners and executives.
  • Strong ownership and commitment to high engineering standards for quality and integrity.
  • Must be a US-based applicant.

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