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Internship Mechanical Engineering Machine Learning Jobs

Apple Inc.

Machine Learning FEA Engineer

San Francisco, CA · On-site

$150.40 - $277.60/hr

  • Medical

  • Dental

  • Retirement

S. in Computer Science, Machine Learning, Mechanical Engineering, or a similar discipline along with 3+ years of relevant experience Preferred Qualifications * Strong expertise in GNNs, CNNs, and ...

Hadrian

Machine Learning Engineer

Los Angeles, CA · On-site

Required : • Bachelors in Computer Science, Electrical Engineering, Mechanical Engineering (or ... Machine Learning, including ownership of projects throughout the entire ML Lifecycle • ...

Solcoa Industries

Mechanical Engineering Intern

Alameda, CA · On-site

$21.25 - $28.50/hr

The Role - Mechanical Engineering Intern Join our hardware team and help turn designs into working ... Hands-on build experience from labs, clubs, internships, or personal projects (machine shop tools ...

Merican

Data Science & Machine Learning Engineer

$117K - $140K/yr

Required Skills & Responsibilities: * 5+ years of experience in Data Engineering, Machine Learning Engineering, or related fields. * Strong programming expertise in Python (Pandas, NumPy, PySpark ...

Flexjet

Machine Learning Engineer

Cleveland, OH · On-site

Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent ... Internship, academic project, or personal project experience in machine learning * Familiarity with ...

Hadrian

Machine Learning Engineer

Los Angeles, CA · On-site

Required : • Bachelors in Computer Science, Electrical Engineering, Mechanical Engineering (or ... Machine Learning, including ownership of projects throughout the entire ML Lifecycle • ...

Corning

... engineering, or relevant hands-on academic, internship, personal, or professional projects. - Strong Python foundation and hands-on experience with at least one machine learning library or framework ...

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Internship Mechanical Engineering Machine Learning information

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How much do internship mechanical engineering machine learning jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for internship mechanical engineering machine learning in the United States is $21.88, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $24.28 per hour, depending on experience, location, and employer.

What is the difference between Internship Mechanical Engineering Machine Learning vs Mechanical Engineer?

AspectInternship Mechanical Engineering Machine LearningMechanical Engineer
Required CredentialsTypically pursuing or recently completed a degree in Mechanical Engineering or related field; familiarity with machine learning toolsBachelor's degree in Mechanical Engineering; professional licensure often not required for entry-level roles
Work EnvironmentInternship setting, often in research labs or tech companies, focusing on project-based learningDesign, analysis, and manufacturing environments, including offices, factories, and labs
Employer & Industry UsageUsed by tech companies, research institutions, and engineering firms exploring AI applications in mechanical systemsWidely employed across manufacturing, automotive, aerospace, and energy sectors

In summary, an Internship Mechanical Engineering Machine Learning focuses on gaining experience at the intersection of mechanical engineering and machine learning, often in research or tech environments. A Mechanical Engineer typically works on designing and maintaining mechanical systems across various industries, with a broader scope and more established credentials.

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What cities are hiring for Internship Mechanical Engineering Machine Learning jobs? Cities with the most Internship Mechanical Engineering Machine Learning job openings:
What are the most commonly searched types of Mechanical Engineering Machine Learning jobs? The most popular types of Mechanical Engineering Machine Learning jobs are:
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Internship Mechanical Engineering Machine Learning jobs near you
Infographic showing various Internship Mechanical Engineering Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $45,516 per year, or $21.9 per hour.

Machine Learning FEA Engineer

Apple Inc.

San Francisco, CA • On-site

$150.40 - $277.60/hr

Other

Medical, Dental, Retirement

This job post has expired today. Applications are no longer accepted.

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

San Francisco Bay Area, California, United States Hardware

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!

Description

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.

Minimum Qualifications
  • 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
  • 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 Qualifications
  • 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
Compensation and Benefits

Base pay is determined within a range and reflects skills, qualifications, experience, and location. The base pay range for this role is between $150,400 and $277,600.

Apple employees also have the opportunity to become an Apple shareholder through participation in discretionary employee stock programs. Eligible employees may receive discretionary restricted stock unit awards and can purchase Apple stock at a discount through Apple’s Employee Stock Purchase Plan. Benefits include comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and reimbursement for certain educational expenses, including tuition. This role may be eligible for discretionary bonuses or commission payments as well as relocation.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Equal Opportunity and Accessibility

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Learn about accessibility in Apple’s workplace and about reasonable accommodations for job applicants.

Apple accepts applications to this posting on an ongoing basis.

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About Apple

Sourced by ZipRecruiter

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, intelligent 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 real 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.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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