A Machine Learning Engineer specializes in designing, building, and deploying machine learning models. They utilize statistical and mathematical techniques, parallelizing processing, hyperparameter tuning, and other optimization methodologies to improve model performance. Responsibilities also include collecting and preprocessing large datasets, conducting exploratory data analysis, working closely with data engineers to understand data requirements, and engineer input variables for machine learning models.
Special Projects Fort Mill, South Carolina, United States Machine Learning and AI Summary Posted:
Mar 11, 2026
Role Number:
200651094-0611 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. Description 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: Responsibilities Passion for the mission: We're here to make something extraordinary. We seek whatever work is right and strive for the best possible results.
Modesty:
The right answer is more significant than being right. We search for solutions as a team and value clear-eyed feedback.
Lean habits:
You can't grow without limits. Time constraints and big goals encourage us to sharpen our focus and learn to make phenomenal decisions. Minimum Qualifications 5+ years of ML engineering experience building and maintaining data-intensive systems - including feature pipelines, training infrastructure, model serving, or evaluation frameworks. Solid software engineering skills in complex systems - Fluency in Python. You deliver clean, well-tested code. Hands-on experience with distributed ML systems - CI/CD at scale, distributed testing, or ML evaluation pipelines. Strong quantitative and data skills - comfortable with SQL, statistical reasoning, and translating ambiguous signals into clear, actionable findings. Proven track record shipping ML systems end-to-end - from problem framing and data curation through training, evaluation, deployment, and monitoring in production. Preferred Qualifications Bachelors or Masters Degree in Computer Science, Engineering, Math, or Physics from a strong program. 2+ years at a company building AI products or agent systems. Experience with job orchestration frameworks (Airflow, Prefect, Ray, etc.). Familiarity with macOS/iOS development ecosystems. Active personal interest in AI agents—you're already experimenting on your own time. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Apple accepts applications to this posting on an ongoing basis.
