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À propos
Apple is committed to pushing the boundaries of innovation and engineering excellence in product designs through machine learning and FEA simulations. As a core member of the product design team, you will be responsible for developing and implementing ground-breaking machine learning methods that drive rapid design iterations and optimize design trade-offs for future products.
Responsibilities : • Develop and implement ground-breaking machine learning methods based on predictive finite element simulations and important design load cases. • Drive rapid design iterations by assessing potential risks and optimizing design trade-offs. • Fully integrate with the product design team from the earliest stages to engineer ground breaking products.
Qualifications : Required : • Strong Expertise in Machine Learning, Deep Learning, and Optimization • Knowledges of Finite Element Analysis and/or other numerical methods in computational physics and mechanics • Proficiency in Python and relevant packages for ML • Outstanding communication skills • Passion for creating innovative, high-quality products • Desire to work in a fast-paced environment with passion for creating cutting edge products • M.S. in Computer Science, Machine Learning, Mechanical Engineering, or a similar discipline along with 3+ years of relevant experience
Preferred : • Strong expertise in GNNs, CNNs, and transformer-based architectures • Implement and optimize these models for large-scale datasets on scalable ML platforms • Ability to work independently in white space and deal with an incredible fast-paced environment • Excellent cross-functional collaboration and written and verbal communication skills • Ph.D. in Computer Science, Machine Learning, Mechanical Engineering, or a similar discipline • Publications in top journals or conferences
Company :
Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software. Founded in 1976, the company is headquartered in Cupertino, USA, with a team of 10001+ employees. The company is currently Late Stage.
Compétences linguistiques
- English
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