AI Agent Engineer - RL Research & Simulation

Apple Inc.; Seattle (WA); Sur place; USD 150 000 - 278 000; Plein temps

Avantages offerts par ce poste

Employee stock options

Relocation assistance

Education reimbursement

Résumé du poste

Apple Inc. is seeking research engineers to build systems for breakthrough AI agents, reinforcement learning, and simulation environments in the San Francisco Bay Area.

You will design and implement high-quality agent harnesses, simulation systems, and tooling that enable cutting-edge agent research, collaborating with world-class ML researchers and engineers. You will contribute to model training, harness design, evaluation, and deployment, sharing insights with top journals and conferences.

Qualifications

• Bachelors 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 Python.
• Hands-on experience with distributed ML systems and CI/CD at scale.
• Proficiency with ML modeling frameworks (PyTorch, TensorFlow, etc.).
• Proven track record shipping ML systems end-to-end from data to deployment.

Responsabilités

• Design and implement high-quality agent harnesses for AI research.
• Develop simulation environments to enable breakthrough agent research.
• Build tooling and systems to support scalable ML experimentation and deployment.

Connaissances

Python

Distributed ML

ML engineering

CI/CD at scale

Formation

Bachelor's in CS/EE or equivalent

Master's/PhD preferred

Outils

PyTorch

TensorFlow

CI/CD tooling

Model serving

Description du poste

Apple Inc. is seeking research engineers to build systems for breakthrough AI agents, reinforcement learning, and simulation environments in the San Francisco Bay Area.

You will design and implement high-quality agent harnesses, simulation systems, and tooling that enable cutting-edge agent research, collaborating with world-class ML researchers and engineers. You will contribute to model training, harness design, evaluation, and deployment, sharing insights with top journals and conferences.