ML Engineer Jobs in Cupertino, CA

ML Engineer jobs in Cupertino concentrate in the Main Street corridor, the Vallco area, and the broader North De Anza Boulevard tech cluster, with demand driven by consumer electronics, enterprise AI, and cloud infrastructure. Employers actively hiring include Apple, Amazon Web Services, and HiringCafe, with openings in computer vision, NLP, and on-device model optimization. See the openings below and apply to the ones that match your experience.

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Overview

Open roles1,027+
Top employerApple
Work type86% On-site
Top credentialDoctoral degree in Computer Science
Companies hiring4

Showing 5 of 1,027+ ML Engineer jobs

Wipro
AI ML Robotics Engineer
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Wipro
New 13h ago
AI ML Robotics Engineer
Wipro
Cupertino, California
Creative & Design
Program Management
Project Management
$80k - $160k/yr
Bachelor's degree in mechanical engineering
10,000+

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Apple
Senior Machine Learning Engineer
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Apple
New 18h ago
Senior Machine Learning Engineer
Apple
Cupertino, California
Data Science & Analytics
Software Engineering
Data Science
AI (Artificial Intelligence)
$185k - $325k/yr
On-Site
Master's
10,000+

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Apple
Machine Learning Engineer - Notifications & Personalization
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Apple
New 21h ago
Machine Learning Engineer - Notifications & Personalization
Apple
Cupertino, California
Data Science
Data Science & Analytics
ML (Machine Learning)
$185k - $325k/yr
Bachelor of Science
10,000+

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Amazon Web Services
Software Engineer - Hardware Abstraction Layer, AWS Machine Learning Accelerators
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Amazon Web Services
New 23h ago
Software Engineer - Hardware Abstraction Layer, AWS Machine Learning Accelerators
Amazon Web Services
Cupertino, California
Cloud Architecture
Cloud Engineering
Cybersecurity
$144k - $224k/yr

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Apple
Senior Machine Learning Engineer, Apple Wallet
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Apple
Added 3d ago
Senior Machine Learning Engineer, Apple Wallet
Apple
Cupertino, California
Customer Support
Software Engineering
Technical Program Management
$216k - $325k/yr
Doctoral degree in Computer Science
10,000+

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See All 1,027+ ML Engineer Jobs in Cupertino

Find roles in Cupertino that match your experience and apply in just a few clicks.

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ML Engineer Job Market in Cupertino

Who's Hiring

  • Apple
    Apple842
  • Amazon Web Services
    Amazon Web Services163
  • HiringCafe
    HiringCafe15
  • Wipro
    Wipro7

Top Industries Hiring

  • Electronics & Hardware369
  • Distribution & Wholesale59
  • Banking & Financial Services52
  • Technology & Software15
  • Construction & Real Estate15

ML Engineer Jobs in Cupertino: Frequently Asked Questions

How do I get a ml engineer job in Cupertino?

The strongest path into Cupertino's ml engineer market runs through its dominant consumer electronics and silicon design ecosystem, where teams build on-device models, inference optimization, and hardware-aware ML pipelines. Candidates with hands-on experience in PyTorch, Core ML, or TensorFlow Lite stand out most. Targeting mid-size AI product companies along De Anza Boulevard alongside the large consumer tech anchors gives you the widest realistic entry surface in this specific market.

Which companies hire ml engineers in Cupertino?

Cupertino ml engineer roles are posted by Apple, Amazon Web Services, and HiringCafe and others right now, based on current listings on Migrate Mate as of September 2026. The local employer mix skews heavily toward consumer hardware companies, enterprise software divisions, and AI infrastructure teams, many of whom maintain research and applied ML functions in the same Cupertino offices.

Are there remote ml engineer jobs in Cupertino?

Yes, though ml engineer roles tied to Cupertino's hardware and on-device AI work tend to require more in-person collaboration than purely analytical or backend ML positions. About 14% of ml engineer openings tied to Cupertino are remote or hybrid as of September 2026, with remote options concentrated in research, data pipeline, and MLOps roles rather than hardware integration or prototype work.

How can I get a ml engineer job in Cupertino with little or no experience?

The most realistic entry point in Cupertino is targeting ml infrastructure or data engineering roles at mid-size AI product companies, which hire associate-level candidates more consistently than the large consumer tech anchors. Contributing to open-source projects in model compression or edge inference is especially valued locally, given how much Cupertino hiring centers on on-device efficiency. Associate MLOps engineer and junior data scientist positions at Cupertino-based enterprise software teams are also strong lateral entry points.

Which industries hire the most ml engineers in Cupertino?

The sectors hiring the most ml engineers in Cupertino are Electronics & Hardware, Distribution & Wholesale, and Banking & Financial Services, based on current listings on Migrate Mate as of September 2026. Cupertino's concentration of consumer hardware and silicon design companies creates unusually high demand for applied ML talent focused on on-device inference, sensor fusion, and hardware-aware model optimization.

See All 1,027+ ML Engineer Jobs in Cupertino

Find roles in Cupertino that match your experience and apply in just a few clicks.

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