Machine Learning FEA Engineer

San Francisco, CA, US • Posted 22 hours ago • Updated 9 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

  • Innovation
  • FEA
  • Pivotal
  • iPhone
  • iPad
  • Universe
  • Product Design
  • Deep Learning
  • Optimization
  • Finite Element Analysis
  • Numerical Analysis
  • Computational Physics
  • Mechanics
  • Python
  • Transformer
  • Collaboration
  • Communication
  • Computer Science
  • Machine Learning (ML)
  • Mechanical Engineering

Summary

Imagine what you can do here! We are committed to pushing the boundaries of innovation and engineering excellence in product designs through machine learning and FEA simulations. We truly believe in the power of predictive simulation to make the impossible possible, transform industries and improve people's lives. As a member of the Product Design FEA team, you will play a pivotal role in developing innovative machine learning technologies and directly impact the success of new iPhone, iPad, Mac, Apple Watch, Vision Pro and many more future products. Come join us and put a dent in the universe!

As a core member of the product design team, you will be responsible for developing and implementing ground-breaking machine learning methods that are based on predictive finite element simulations and important design load cases. The machine learning models will drive rapid design iterations by assessing potential risks and optimizing design trade-offs. You will be fully integrated with the product design team from the earliest stages to engineer ground breaking products.

Strong Expertise in Machine Learning, Deep Learning, and Optimization\nKnowledges of Finite Element Analysis and/or other numerical methods in computational physics and mechanics\nProficiency in Python and relevant packages for ML\nOutstanding communication skills\nPassion for creating innovative, high-quality products\nDesire to work in a fast-paced environment with passion for creating cutting edge products\nM.S. in Computer Science, Machine Learning, Mechanical Engineering, or a similar discipline along with 3+ years of relevant experience

Strong expertise in GNNs, CNNs, and transformer-based architectures\nImplement and optimize these models for large-scale datasets on scalable ML platforms\nAbility to work independently in white space and deal with an incredible fast-paced environment\nExcellent cross-functional collaboration and written and verbal communication skills\nPh.D. in Computer Science, Machine Learning, Mechanical Engineering, or a similar discipline\nPublications in top journals or conferences
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: 321fb473912106d12b11de91d6621e7d
  • Posted 22 hours ago
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