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Home›Jobs›Apple›Machine Learning FEA Engineer
Apple

About Apple

The personal technology company redefining user experience

🏢 Tech, Hardware👥 1001+ employees📅 Founded 1976📍 Cupertino, CA⭐ 4.2
B2CB2BHardwareSaaSTelecommunicationseCommerce

Key Highlights

  • Market cap of $3 trillion as of 2022
  • Over 1 billion active devices worldwide
  • Comprehensive medical plans including mental healthcare
  • Paid parental leave and gradual return-to-work program

Apple Inc. (NASDAQ: AAPL), headquartered in Cupertino, CA, is the world's most valuable company with a market capitalization of $3 trillion as of 2022. Known for its iconic products such as the iPhone, iPad, and Mac, Apple serves over 1 billion active devices globally. The company has a strong commi...

🎁 Benefits

Apple offers comprehensive medical plans covering physical and mental healthcare, paid parental leave, and a gradual return-to-work program. Employees...

🌟 Culture

Apple's culture emphasizes an obsessive focus on user experience and consumer privacy, setting it apart from competitors. The company promotes inclusi...

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Apple

Machine Learning FEA Engineer

Apple • Culver City, California, United States

Posted 4w agoMid-LevelMachine learning engineer📍 Culver city
Apply Now →

Skills & Technologies

Machine learningDeep learningPythonFinite element analysis

Overview

Apple is hiring a Machine Learning FEA Engineer to develop innovative machine learning technologies that impact product design. You'll work with machine learning and finite element analysis to optimize design trade-offs. This role requires expertise in Python and a strong background in machine learning.

Job Description

Who you are

You have a strong expertise in Machine Learning and Deep Learning, with a solid understanding of optimization techniques. Your knowledge of Finite Element Analysis and other numerical methods in computational physics and mechanics sets you apart. Proficiency in Python and relevant packages for machine learning is essential, as is your ability to communicate complex ideas effectively. You thrive in a collaborative environment and are passionate about creating innovative, high-quality products that push the boundaries of technology.

You hold an M.S. in Computer Science, Machine Learning, Mechanical Engineering, or a related field, and you are eager to work in a fast-paced environment where you can contribute to cutting-edge product designs. Your desire to innovate and improve people's lives through technology drives your work.

Desirable

Experience with predictive simulations and design load cases would be a plus, as would familiarity with the latest advancements in machine learning technologies. A background in product design or engineering would enhance your ability to integrate machine learning methods into practical applications.

What you'll do

As a core member of the Product Design FEA team, you will be responsible for developing and implementing groundbreaking machine learning methods that leverage predictive finite element simulations. Your work will directly impact the design and success of future Apple products, including the iPhone, iPad, Mac, and Apple Watch. You will collaborate closely with the product design team from the earliest stages of product development, ensuring that machine learning models drive rapid design iterations and optimize design trade-offs.

You will assess potential risks associated with design choices and utilize your expertise to create innovative solutions that enhance product performance. Your role will involve continuous learning and adaptation as you stay updated on the latest trends and technologies in machine learning and product design.

What we offer

At Apple, you will be part of a team that values innovation and excellence. We offer a collaborative work environment where your contributions will be recognized and celebrated. You will have the opportunity to work on projects that have a meaningful impact on people's lives and the future of technology. We encourage you to apply even if your experience doesn't match every requirement, as we believe in the potential of diverse talents to drive our mission forward.

Interested in this role?

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