Apple
ML Agent Engineer
$142K–$278K
San Francisco Bay Area, California +1 · Full-time · Posted Jul 14, 2026
- Location
- San Francisco Bay Area, California
Seattle Metro Area, Washington - Experience
- 2+ years of ML engineering experience.
- Education
- Bachelor’s in Computer Science/Electrical Engineering or equivalent academic or professional experience.
About the job
Build agent harnesses, simulation systems, and tooling that support research and innovation in AI agents, reinforcement learning, and simulation environments.
What you'll do
- Design and implement agent harnesses, simulation systems, and research tooling.
- Build and maintain ML training and inference systems, including infrastructure, serving, and evaluation.
- Ship ML systems end-to-end, from problem framing and data curation through production deployment and monitoring.
What they ask for
- Bachelor’s in Computer Science/Electrical Engineering or equivalent academic or professional experience.
- 2+ years of ML engineering experience building and maintaining training and inference systems.
- Fluency in Python and ability to deliver clean, well-tested code; hands-on experience with distributed ML systems.
- Proficiency with ML modeling frameworks and a track record shipping ML systems end-to-end.
Nice to have
- Master’s Degree or PhD in Computer Science, Engineering, Math, or Physics.
- Familiarity with macOS/iOS development ecosystems; personal interest in AI agents.
Pay
$142,300 and $263,300 USD base salary; $150,400 and $277,600 USD base salary
Tools
Python, PyTorch, Tensorflow, macOS, iOS
AI focus
Build AI agent systems and research tooling, including agent harnesses, reinforcement learning, simulations, model training, evaluation, and deployment.
Model-written summary · the original posting is authoritative