What are the responsibilities and job description for the Machine Learning Engineer - Special Projects position at Apple, Inc.?
We're seeking research engineers to build infrastructure for breakthrough innovations in AI agents, reinforcement learning, and simulation environments. You will design and implement high-quality data pipelines, simulation systems, and tooling that enable cutting-edge agent research. You will work in an organization of world-class machine learning researchers and engineers. Our work powers technologies across the Apple ecosystem and is published in the most selective scientific journals and conferences.
We are a team of best-in-the-world research scientists and engineers building the foundations for autonomous AI systems. We work on exciting new technologies that bring joy to millions of people. In our daily work, the team stays innovative, productive, and fun by sharing some key values:
5 years of ML engineering experience building and maintaining data-intensive systems - including feature pipelines, training infrastructure, model serving, or evaluation frameworks.\nSolid software engineering skills in complex systems - Fluency in Python. You deliver clean, well-tested code.\nHands-on experience with distributed ML systems - CI/CD at scale, distributed testing, or ML evaluation pipelines.\nStrong quantitative and data skills - comfortable with SQL, statistical reasoning, and translating ambiguous signals into clear, actionable findings.\nProven track record shipping ML systems end-to-end - from problem framing and data curation through training, evaluation, deployment, and monitoring in production.
Bachelors or Masters Degree in Computer Science, Engineering, Math, or Physics from a strong program.\n2 years at a company building AI products or agent systems.\nExperience with job orchestration frameworks (Airflow, Prefect, Ray, etc.).\nFamiliarity with macOS/iOS development ecosystems.\nActive personal interest in AI agents-you're already experimenting on your own time.
We are a team of best-in-the-world research scientists and engineers building the foundations for autonomous AI systems. We work on exciting new technologies that bring joy to millions of people. In our daily work, the team stays innovative, productive, and fun by sharing some key values:
5 years of ML engineering experience building and maintaining data-intensive systems - including feature pipelines, training infrastructure, model serving, or evaluation frameworks.\nSolid software engineering skills in complex systems - Fluency in Python. You deliver clean, well-tested code.\nHands-on experience with distributed ML systems - CI/CD at scale, distributed testing, or ML evaluation pipelines.\nStrong quantitative and data skills - comfortable with SQL, statistical reasoning, and translating ambiguous signals into clear, actionable findings.\nProven track record shipping ML systems end-to-end - from problem framing and data curation through training, evaluation, deployment, and monitoring in production.
Bachelors or Masters Degree in Computer Science, Engineering, Math, or Physics from a strong program.\n2 years at a company building AI products or agent systems.\nExperience with job orchestration frameworks (Airflow, Prefect, Ray, etc.).\nFamiliarity with macOS/iOS development ecosystems.\nActive personal interest in AI agents-you're already experimenting on your own time.