ML Agent Engineer

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Francisco, CA
Salary
$150,400–$277,600 / yr
Posted
58 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $202k
This role $214k
$135k most similar roles pay here $293k

This role pays more than 65% of similar roles. Most pay $162,000–$241,750 — the shaded band above. At the midpoint, this role pays about $214k versus about $202k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · ML Agent Engineer

The ML Agent Engineer joins a team of research scientists and engineers focused on building best-in-class AI agents across the entire system stack, including model training, harness design, evaluation, and deployment. In this role, you will design and implement high-quality agent harnesses, simulation systems, and tooling to enable cutting-edge research in reinforcement learning and simulation environments. You will build and maintain training and inference systems, including infrastructure for model serving and evaluation frameworks. The work requires proficiency in Python and ML modeling frameworks such as PyTorch or TensorFlow. Candidates must possess experience with distributed ML systems, CI/CD at scale, and end-to-end system delivery from data curation through production monitoring. This role addresses the technical challenges of developing advanced AI agent technologies within a research-focused environment.

What you'll do

  • Design and implement high-quality agent harnesses and simulation systems.
  • Develop tooling that enables cutting-edge research in AI agents and reinforcement learning.
  • Build and maintain training and inference systems including model serving and evaluation frameworks.
  • Develop distributed ML systems, including CI/CD at scale and distributed testing.
  • Deliver clean, well-tested code for complex systems using Python.
  • Manage the end-to-end lifecycle of ML systems from data curation to production monitoring.
  • Build infrastructure for training, evaluating, and deploying models across the Apple ecosystem.

What we're looking for

  • Bachelor's degree in Computer Science, Electrical Engineering, or equivalent academic/professional experience.
  • Master's degree or PhD in Computer Science, Engineering, Math, or Physics is preferred.
  • 2+ years of ML engineering experience building and maintaining training and inference systems.
  • Proficiency in Python and solid software engineering skills for complex systems.
  • Hands-on experience with distributed ML systems, including CI/CD at scale and evaluation pipelines.
  • Proficiency with ML modeling frameworks such as PyTorch or TensorFlow.
  • Proven track record of shipping ML systems end-to-end from problem framing to production monitoring.
  • Familiarity with macOS/iOS development ecosystems is preferred.

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