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
104 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $212k
This role $214k
$135k $293k
below market most similar roles pay here above market

This role pays more than 60% of similar roles. Most pay $178,300–$246,150 — the blue band above. At the midpoint, this role pays about $214k versus about $212k 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 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 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 to build systems for breakthrough innovations in AI agents, reinforcement learning, and simulation environments. You will design and implement high-quality agent harnesses, simulation systems, and tooling to enable cutting-edge research. Your daily work involves building and maintaining training and inference systems, including model harnesses, training infrastructure, model serving, and evaluation frameworks. You must demonstrate proficiency in Python and ML modeling frameworks such as PyTorch and Tensorflow. The role requires experience with distributed ML systems, CI/CD at scale, and distributed testing. You will solve problems across the entire AI agent system stack, covering model training, harness design, evaluation, and deployment to power technologies across the Apple ecosystem.

What you'll do

  • Design and implement high-quality agent harnesses and simulation systems.
  • Build and maintain ML training and inference systems.
  • Develop and manage model serving and evaluation frameworks.
  • Implement distributed ML systems including CI/CD at scale and distributed testing.
  • Ship ML systems end-to-end from problem framing and data curation to production monitoring.
  • Write clean, well-tested code using Python and ML modeling frameworks like PyTorch.
  • Develop tooling that enables cutting-edge research in AI agents and reinforcement learning.

What we're looking for

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

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