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 Machine Learning Engineer - Hardware Performance Validation - Cupertino, California, United States

Job information
Posted by: Apple 
Hiring entity type: Retail 
Work authorization: Not Specified for United States
Position type: Direct Hire, Full-Time 
Compensation: ******
Benefits: See below
Relocation: Not specified 
Position functions: Computers - Programming Languages
Computers - Platforms
Computers - DB Mgmt. Systems
Computers - Software Engineer
Travel: Unspecified 
Accept candidates: from anywhere 
Languages: English - Fluent
Minimum education: See below 
Minimum years experience: See below 
Resumes accepted in: English
Cover letter: No cover letter requested
Job code: 200286987 / Latpro-3822581 
Date posted: Sep-26-2021
State, Zip: California, 95014


Machine Learning Engineer - Hardware Performance Validation

Santa Clara Valley (Cupertino) , California , United States

Machine Learning and AI


Posted: Sep 9, 2021

Role Number: 200286987

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, smart people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it. Join us to help deliver the next groundbreaking Apple product.

Key Qualifications

  • Requirements:
  • Experience in TensorFlow, PyTorch or Torch is a requirement
  • Excellent programming skills in Python
  • In depth understanding of Machine Learning principles
  • Technical Skills that are a plus:
  • Knowledge in / experience with supervised and unsupervised learning models
  • Clustering, Forests, Neural Networks
  • Soft Skills:
  • A scientific mindset and approach to problem solving
  • Excellent communication and teamwork skills
  • Experience in working on larger scale projects with good software development principles
  • Willingness to pick up novel tasks and acquire novel skills


Work at the intersection of Machine Learning and SoC architecture. Apple's world class Silicon Engineering Group is looking for a talented ML engineer to model and analyze early Silicon performance data. Join this new effort in Silicon Engineering to apply Machine Learning techniques to the data available from Performance measurements in controlled Silicon Validation Software runs. This role is a Machine Learning and data analysis role for someone with an interest in expanding their knowledge of computer architecture, learning more about how an SoC performs. With this role comes an opportunity for visibility, presenting findings to teams throughout Apple's Silicon Engineering Group. In this role, you will have an impact improving both current and future Apple products as well as pioneering new ways to view our Silicon performance data.

Education & Experience

Masters or PhD in computer science or machine learning


See job description


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