Senior Machine Learning Engineer — Machine Learning Innovation

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.

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.

• 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.

• 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

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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. Learn more about your EEO rights as an applicant.