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Machine Learning Engineer

Apple

$166,470 - $220,900
Oct 19, 2025
Cupertino, CA, US
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Apple Inc is looking to solve the problem of designing, implementing, and optimizing core algorithms for next-generation sensors, and to produce the next generation of human interfaces for their products.

Requirements

  • Use C language to ship algorithm and implementation
  • Use scientific programming languages (Python/MATLAB) to code and prototype algorithms
  • Use Signal Processing to develop algorithms
  • Use Statistical modeling to characterize the aggressor on the sensor stack and understand Algorithm behavior
  • Use Applied Math to optimize algorithms
  • Experience in stress testing, smoke testing, regression testing, and integration testing of the algorithm
  • Root-causing hardware and algorithm issues, and designing solutions to address them

Responsibilities

  • Handle design, implementation and optimization of core algorithms for next-generation sensors
  • perform data and failure analysis, cross-functional design, and debugging
  • Work with other partners such as algorithm, hardware and firmware teams to take complex algorithms from proof of concept all the way to shipping in products that are used by millions of customers every day
  • Maintain and improve existing offline processing pipelines
  • Produce the next generation of human interfaces for iPhone, iPad, Mac, Apple Watch, and exciting new products
  • Clean and analyze data, and build and test algorithms, and finishes with detailed implementation and analysis

Other

  • Master's degree or foreign equivalent in Computer Science, Computer Engineering, Electrical Engineering, or related field and 1 year of experience in job offered or related occupation.
  • 40 hours/week
  • Researching technical findings and communicating them to a team of engineers.
  • 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.