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ASE Machine Learning Engineer - Privacy & Foundation Models
New York, NY
Job Description
Summary
Posted: Jan 19, 2024
Weekly Hours: 40
Role Number:200534174
Are you passionate about building extraordinary products and embracing privacy? It's central to all that we do! The goal of the Apple Services Engineering Machine Learning Lifecycle team is to take personalization, search, and more to the next level of intelligence and accuracy using advanced ML and statistical techniques.
Key Qualifications
Description
We work on a wide spectrum of approaches, including foundation modeling, federated learning, deep learning, model compression, transfer learning and more. We work on core machine learning algorithms and models to power personalization in an efficient, scalable and private manner. We also work on algorithmic approaches to conserve resources when delivering these models to our customers' devices. This position involves a wide variety of skills and innovation. This is a rare opportunity that sits at the state of the art of machine learning and software!
Education & Experience
Master's degree or foreign equivalent in Computer Science, Information Technology, Software Engineering, or related field and 4+ years of experience in the job offered or related occupation.
Additional Requirements
Pay & Benefits
Posted: Jan 19, 2024
Weekly Hours: 40
Role Number:200534174
Are you passionate about building extraordinary products and embracing privacy? It's central to all that we do! The goal of the Apple Services Engineering Machine Learning Lifecycle team is to take personalization, search, and more to the next level of intelligence and accuracy using advanced ML and statistical techniques.
Key Qualifications
- Proficient programming skills in Python
- Hands-on experience working with deep learning toolkits such as Jax, Tensorflow or PyTorch
- Proven track record in training or deployment of large models or building large-scale distributed systems
- Deep understanding of Deep Learning and Large Language Models (LLMs)
- Natural Language Processing
Description
We work on a wide spectrum of approaches, including foundation modeling, federated learning, deep learning, model compression, transfer learning and more. We work on core machine learning algorithms and models to power personalization in an efficient, scalable and private manner. We also work on algorithmic approaches to conserve resources when delivering these models to our customers' devices. This position involves a wide variety of skills and innovation. This is a rare opportunity that sits at the state of the art of machine learning and software!
Education & Experience
Master's degree or foreign equivalent in Computer Science, Information Technology, Software Engineering, or related field and 4+ years of experience in the job offered or related occupation.
Additional Requirements
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 $170,700.00 and $300,200.00, 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.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.
Job Summary
Company
Start Date
As soon as possible
Employment Term and Type
Regular, Full Time
Required Education
Master's Degree
Required Experience
4+ years
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