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Commission Medical Machine Learning Jobs (NOW HIRING)

Apple

Machine Learning FEA Engineer

Bodega Bay, CA

$142K - $263K/yr

Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

Apple

Machine Learning Engineer

Cupertino, CA · On-site

$187K - $220K/yr

Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

Mariana Minerals

Machine Learning Engineer

Ann Arbor, MI · On-site

$120K - $160K/yr

... for Machine Learning Engineers to help make it autonomous. We're not a software company selling ... Mariana designs, builds, commissions, and operates our own mines and refineries. We develop ...

TEKsystems

Machine Learning Engineer

San Diego, CA · Hybrid

$70 - $95/hr

Production Machine Learning Deployments * Model Monitoring, Observability, and Optimization ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

New

Anytime AI

Machine Learning Engineer

OR · Remote

$100K - $200K/yr

... and medical records to expedite fact-finding. Our secure solution can responsibly help lawyers ... Position Overview As a Machine Learning Engineer, you will be instrumental in crafting and refining ...

Poesis

Machine Learning Engineer

San Francisco, CA · On-site

$200K - $280K/yr

About the Role At Poesis, machine learning and artificial intelligence open the door to improved ... Benefits We offer excellent medical, dental, and vision coverage, alongside a strong benefits ...

Pluralsight, LLC

Machine Learning Engineer

Draper, UT · On-site

$160K/yr

A Machine Learning Engineer helps our learners discover content that is relevant to their interests ... Benefits include competitive compensation, bonus eligibility, comprehensive medical coverage ...

Cymertek

Machine Learning Engineer

Aurora, CO · On-site

Machine Learning Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this ... Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus) * HSA/FSA * AFLAC ...

Cymertek

Machine Learning Engineer

Honolulu, HI · On-site

Machine Learning Engineer LOCATIONHonolulu, HI 96815 CLEARANCETS/SCI Full Poly (Please note this ... Medical/Dental/Vision - 100% employee coverage.($1200 allowance - or a bonus) * HSA/FSA * AFLAC ...

Pluralsight LLC

Machine Learning Engineer

$121K - $160K/yr

A Machine Learning Engineer helps our learners discover content that is relevant to their interests ... Benefits include competitive compensation, bonus eligibility, comprehensive medical coverage ...

Cymertek

Machine Learning Engineer

Aurora, CO · On-site

Machine Learning Engineer LOCATIONAurora, CO 80014 CLEARANCETS/SCI Full Poly (Please note this ... Medical/Dental/Vision - 100% employee coverage.($1200 allowance - or a bonus) * HSA/FSA * AFLAC ...

Neuralink

Machine Learning Engineer

Austin, TX · On-site

$199K - $331K/yr

About the Role: Engineers on the BCI team utilize signal processing and machine learning to ... Excellent medical, dental, and vision insurance through a PPO plan * Paid holidays * Commuter ...

Cymertek

Machine Learning Engineer

Chantilly, VA · On-site

Machine Learning Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this ... Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus) * HSA/FSA * AFLAC ...

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

As of Jul 9, 2026, the average hourly pay for commission medical machine learning in the United States is $65.38, according to ZipRecruiter salary data. Most workers in this role earn between $59.62 and $71.15 per hour, depending on experience, location, and employer.
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Commission Medical Machine Learning jobs near you
Machine Learning FEA Engineer

Machine Learning FEA Engineer

Apple

Bodega Bay, CA

$142K - $263K/yr

Full-time

Medical, Dental, Retirement

Re-posted 2 hours ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 667 frontline employees who took The Breakroom Quiz

5th 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

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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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