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Commission Machine Learning Neuroscience Jobs (NOW HIRING)

Apple

Machine Learning FEA Engineer

Bodega Bay, CA · On-site

$139K - $258K/yr

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 ...

Apple

Machine Learning Engineer (Search)

Cupertino, CA

$147K - $220K/yr

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 ...

The New York Times

Machine Learning Scientist

New York, NY · On-site

$121K - $131K/yr

We are a group of machine learning scientists and data analysts that partner with teams across The ... S. Equal Employment Opportunity Commission (EEOC)'s Know Your Rights Poster is available here. The ...

Apple

Machine Learning Engineer - Health AIML

Cupertino, CA · On-site

$212K - $318K/yr

The Health AI team is at the forefront of machine learning and health science at Apple. We are a ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

Biogen

Principal Machine Learning Engineer

As a Principal Machine Learning Engineer focused on Clinical Trial Forecasting and Optimization ... in neuroscience, neurology, immunology, and rare diseases. Your contributions will directly ...

Apple

Machine Learning Engineer

Cupertino, CA

$147K - $272K/yr

Apple's Health Sensing team is seeking a versatile Machine Learning Engineer to develop next ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

Apple

Machine Learning Engineer

San Diego, CA

$139K - $258K/yr

Apple's Health Sensing team is seeking a versatile Machine Learning Engineer to develop next ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

Autodesk

Machine Learning Engineering Manager

Boston, MA · On-site

$148K - $266K/yr

As an Machine Learning AI Development Manager for the AEC Solutions group, you will lead your team ... In addition to base salaries, our compensation package may include annual cash bonuses, commissions ...

Autodesk

Machine Learning Engineering Manager

New York, NY · On-site

$148K - $266K/yr

As an Machine Learning AI Development Manager for the AEC Solutions group, you will lead your team ... In addition to base salaries, our compensation package may include annual cash bonuses, commissions ...

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What is the difference between Commission Machine Learning Neuroscience vs Data Scientist?

AspectCommission Machine Learning NeuroscienceData Scientist
Required CredentialsMaster's or PhD in Neuroscience, Machine Learning, or related fieldsBachelor's or Master's in Data Science, Computer Science, or related fields
Work EnvironmentResearch labs, healthcare, or tech companies focusing on neuroscience applicationsBusiness, tech firms, or consulting firms analyzing data across industries
Employer & Industry UsageResearch institutions, biotech, healthcare, AI startupsFinance, tech, marketing, healthcare, and consulting

Commission Machine Learning Neuroscience specialists focus on applying machine learning techniques to neuroscience data, often in research or healthcare settings. Data Scientists analyze large datasets across various industries, including finance and tech. While both roles require strong analytical skills, Commission Machine Learning Neuroscience emphasizes neuroscience expertise combined with machine learning, whereas Data Scientists have broader industry applications.

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What are the most commonly searched types of Machine Learning Neuroscience jobs? The most popular types of Machine Learning Neuroscience jobs are:
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Machine Learning FEA Engineer

Machine Learning FEA Engineer

Apple

Bodega Bay, CA • On-site

$139K - $258K/yr

Full-time

Medical, Dental, Retirement

Posted 25 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th 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 $139,500 and $258,100, 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.

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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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