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Machine Learning Engineer

Apple

Cupertino, CAFull-timeSeen todaySeen in employer's feed today

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At a glance

Compensation
No compensation found
Location
Cupertino, CA
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

Apple is seeking a machine learning engineer to join its All-Scale Modeling team. The role develops end-to-end machine learning systems for physics modeling problems in Apple hardware development, optimizes kernels, and designs agentic systems. It also documents findings to inform roadmap decisions and offers opportunities to collaborate with other teams.

Skills & qualifications

RequiredNice to have

Skills

Machine Learning AlgorithmsMachine Learning EngineeringPythonC++Analytical SkillsProblem-SolvingModel DeploymentModel ExperimentationModel BenchmarkingCUDAMetal ProgrammingNumerical MethodsPhysics

Qualifications

BS, MS, or PhD in CS, EE, or Related Field

Full job description

Weekly Hours: 40

Role Number: 200693705-0836

Summary

At Apple, we are constantly pushing the boundaries of what is possible, driven by our belief in the transformative power of new ideas. We are seeking a highly motivated and talented machine learning engineer to join our All-Scale Modeling team. You will work at the forefront of development, contributing to the creation of differentiating technologies for products that will delight and inspire millions of Apple customers.

Description

Develop end-to-end ML systems to solve complex physics modeling problems for Apple hardware development and innovation. Optimize kernels for performance and efficiency. Design and implement advanced agentic system for complex tasks. Document and share findings to influence roadmap decisions. Opportunities to collaborate with world-class teams.

Minimum Qualifications

  • Strong ML background in algorithms and engineering.

  • Proficiency in Python/C++ development.

  • Strong analytical and problem-solving skills.

  • Rich experience in deploying, experimenting, and benchmarking models.

  • B.S., M.S., or Ph.D. degree in Computer Science, Electrical Engineering, or a related field.

Preferred Qualifications

  • Proficiency in CUDA or Metal programming.

  • Strong background in numerical methods and physics (ME, EM, CFD, etc).

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.

How this job compares

Set against the 6,127 open Machine Learning Engineer jobs on Olive Jobs, counted November 6, 2026.

Pay
  • This postingNot listed
  • California median$177–262K/yr1,407 salary ranges
  • California median$48–74/hr36 hourly ranges
Openings
Olive Jobs lists 1,880 open Machine Learning Engineer jobs in California and 6,127 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
Machine Learning Engineer postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 3 to 7 years (4,896 postings).
Education
2,195 of the 6,127 open Machine Learning Engineer jobs (36%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 6, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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