LLM ML Engineer: Models & Agent Science

Apple Inc.; Cupertino (CA); On-site; USD 180,000 - 250,000; Full time

Benefits offered by this job

Health & dental

Retirement plan

Education reimbursement

Job summary

Apple Inc. in Cupertino, California, seeks an LLM Machine Learning Engineer to advance models and agent science. You will work on large language models, interpretation, and optimization for Apple Foundation Models and features used across products.

Join a collaborative team focusing on post-training ML development, evaluating research ideas, and shipping AI at scale with robust performance. Strong software engineering background required.

Qualifications

• BS and 5+ years of experience, MS and 3+ years, or PhD and 1+ year in AI/ML research.
• Ability to read, evaluate, and reproduce recent research and assess practical viability under real-world constraints.
• Strong Python and UNIX skills; experience with agentic coding tools.
• Experience optimizing post-training LLMs and model interpretability or stress-testing.

Responsibilities

• Build groundbreaking ML capabilities for on-device and server-based Apple Foundation Models and features.
• Translate promising research ideas into the Apple product context and evaluate real-world viability.
• Bridge cutting-edge ideas with constraints of shipping AI at scale.
• Collaborate with software engineers and deep learning experts on optimization and interpretability.

Skills

Python

UNIX

Research analysis

LLM optimization

Agent harness development

Software engineering

Education

BS in a related field

MS in a related field

PhD in a related field

Tools

Compute infrastructure

Job description

Apple Inc. in Cupertino, California, seeks an LLM Machine Learning Engineer to advance models and agent science. You will work on large language models, interpretation, and optimization for Apple Foundation Models and features used across products.

Join a collaborative team focusing on post-training ML development, evaluating research ideas, and shipping AI at scale with robust performance. Strong software engineering background required.