Senior Machine Learning Engineer — Machine Learning Innovation at Apple

Cupertino, California, United States -

Full Time

Start Date

Immediate

Expiry Date

31 Dec, 25

Salary

0.0

Posted On

02 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Statistical Analysis, Reinforcement Learning, C++, Python, On-device Stacks, Collaboration, Adaptive Algorithms, Multi-sensor Integration, Analytics, Innovation, Generative AI, Large Language Models, Consumer-facing Products, Algorithms, Statistics

Industry

Computers and Electronics Manufacturing

Description

Join an elite R&D team at Apple that is shaping the future of Machine Learning. We incubate breakthrough ideas, push the state of the art, and turn them into products that surprise and delight millions of customers worldwide. Our work spans cutting-edge algorithms, adaptive ML based systems, and new modalities—and directly influences the next generation of Apple devices and experiences. We are seeking a Senior Machine Learning Engineer to help pioneer new technologies and bring them to life in entirely new product categories and form factors. If you thrive at the intersection of science, engineering, and product impact, this is your chance to make a visible mark at scale. DESCRIPTION As a member of our R&D team, you’ll contribute to high-impact projects that advance ML research and directly shape Apple’s future products. You will work across disciplines—from hardware to human interaction—tackling the riskiest problems and transforming bold ideas into reality. In this role, you will: *Develop and optimize adaptive ML algorithms that anticipate user needs and adapt to behavior in multi-tenant, multi-owner environments. *Collaborate with cross-functional partners (hardware, UX, human interaction) to invent and prototype features for entirely new form factors and user experiences. *Integrate ML models into a complex, multi-sensor, multi-modality product stack. *Design tools, analytics, and processes to perform deep, hands-on analysis and answer challenging technical questions. *Drive innovation from incubation to deployment, ensuring ideas make the leap from research into Apple products. MINIMUM QUALIFICATIONS MS in Computer Science or related field with 4+ years of industry experience. Solid knowledge of Machine Learning methods, statistical analysis, and reinforcement learning. Strong programming skills in C++, Python, and on-device stacks. Excellent communication and collaboration skills, with ability to work independently or in small teams. Detail-oriented, with a focus on accuracy and quality. PREFERRED QUALIFICATIONS Ph.D. in Computer Science or related field with 7+ years of experience. Expertise in machine learning, automated planning, and decision theory. Strong mathematical foundations in algorithms and statistics. Proven experience with Generative AI and Large Language Models (prompt engineering, fine-tuning, etc.). Prior experience building consumer-facing products is highly valued

Responsibilities

As a member of the R&D team, you will contribute to high-impact projects that advance ML research and shape Apple’s future products. You will develop adaptive ML algorithms, collaborate with cross-functional partners, and drive innovation from incubation to deployment.