Machine Learning Engineer

Cupertino, CA, US • Posted 13 hours ago • Updated 23 minutes ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Modeling
  • Hardware Development
  • Innovation
  • Roadmaps
  • Collaboration
  • Machine Learning (ML)
  • Algorithms
  • Python
  • C++
  • Analytical Skill
  • Conflict Resolution
  • Problem Solving
  • Benchmarking
  • Computer Science
  • Electrical Engineering
  • CUDA
  • Numerical Analysis
  • Physics
  • Control Flow Diagram
  • Computational Fluid Dynamics

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).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90733111
  • Position Id: 75ec660f519f0bb9c8ac703d7f33ad99
  • Posted 13 hours ago
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