1

Commission Volunteer Machine Learning Jobs (NOW HIRING)

The machine learning models will drive rapid design iterations by assessing potential risks and ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

Own small to medium components of machine learning systems from technical designthrough ... The amount and availability of any bonus, commission, incentive, benefits, or any other form of ...

Machine Learning Engineer- GenAI

San Diego, CA · On-site

$150.40 - $277.60/hr

You will help design and implement our machine learning strategy to the substantial supply chain ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

Machine Learning FEA Engineer

San Francisco, CA · On-site

$150.40 - $277.60/hr

The machine learning models will drive rapid design iterations by assessing potential risks and ... This role may be eligible for discretionary bonuses or commission payments as well as relocation.

WI · On-site

$140 - $200/hr

... commission program, determined by the nature of the position. BENEFITS This is reflected in our ... A variety of voluntary benefits such as; Legal Plans, Accident and Hospital Indemnity, Pet ...

As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting ... for volunteer time each calendar year. To learn more about working at Yum! -Click here. At Yum ...

Tennant Company seeks a full-time Machine Learning Engineer based in Golden Valley, MN. Responsible ... off, and voluntary benefits! Total Compensation = Pay range + Benefits Posted salary ranges are ...

Tennant Company seeks a full-time Machine Learning Engineer based in Golden Valley, MN. Responsible ... off, and voluntary benefits! Total Compensation = Pay range + Benefits Posted salary ranges are ...

Tennant Company seeks a full-time Machine Learning Engineer based in Golden Valley, MN. Responsible ... off, and voluntary benefits! Total Compensation = Pay range + Benefits Posted salary ranges are ...

We are looking for a Machine Learning Engineer to join and play a big part in the next revolution ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

Machine Learning/AI Engineer Location: Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...

Machine Learning/AI Engineer Location: Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...

Machine Learning/AI Engineer Location: Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...

As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting ... for volunteer time each calendar year. To learn more about working at Yum! -Click here. At Yum ...

Showing results 21-40

Commission Volunteer Machine Learning information

See salary details

$8

$19

$33

How much do commission volunteer machine learning jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for commission volunteer machine learning in the United States is $19.14, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $20.19 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Volunteer Machine Learning jobs? The most popular types of Volunteer Machine Learning jobs are:
Infographic showing various Commission Volunteer Machine Learning job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 10% Part Time, and 9% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $39,804 per year, or $19.1 per hour.

Machine Learning FEA Engineer

Apple

Bodega Bay, CA

$142K - $263K/yr

Full-time

Medical, Dental, Retirement

Re-posted 2 days ago


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

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.
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
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
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
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $142,300 and $263,300, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

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