JobsMachine Learning Software Engineer
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Machine Learning Software Engineer

Apple

Location

Sunnyvale, CA

Type

Full-time

Posted

5/5/2026

Compensation

Not listed

Undergraduate with 5+ Years of Experience
Approval 98.9%·Filings 5,543·New hires 2,691·
👑 Elite Sponsor
·FY 2025

Job description

We are seeking a proactive Software Engineer to join our computer vision and machine learning team, focusing on designing and implementing advanced systems for spatial computing and artificial intelligence. The ideal candidate will have a passion for translating cutting-edge research into production-ready solutions that enhance user experiences. This role involves collaborating closely with researchers to develop world-class algorithms and managing dynamic contextual insights. You will play a key role in optimizing model efficiency and ensuring flawless algorithm performance in production.

Requirements

  • B.S. and 7+ years of experience in software engineering, computer vision, machine learning, or related fields.
  • Strong experience in Python.
  • Working experience in C++ or Swift.
  • Foundational understanding of machine learning, including familiarity with ML algorithms and development pipelines.
  • M.S. or Ph.D. with 5+ years of industry experience in machine learning or related fields.
  • Excellent math skills, including linear algebra, computational science, and optimization.
  • Creativity and curiosity for solving highly complex problems.
  • Excellent communication and collaboration skills.
  • An interest in incubating ideas and taking them to finish.
  • Experience with iOS/macOS development.
  • Experience shipping algorithms or publishing in top tier CVML conferences.

Responsibilities

  • Collaborate closely with computer vision and machine learning researchers to develop algorithms.
  • Drive the development of a unified context representation and a scalable, device-agnostic framework.
  • Establish efficient mechanisms for managing dynamic and persistent contextual insights.
  • Enable intelligent, personalized experiences through efficient management of contextual data.
  • Optimize model efficiency for on-device inference.
  • Ensure algorithms perform flawlessly in production.
  • Apply breakthrough research to solve real-world problems.

Benefits

  • Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.

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