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AIML - Sr. Machine Learning Engineer - Machine Learning Platform Technology (MLPT)

AIML - Sr. Machine Learning Engineer - Machine Learning Platform Technology (MLPT)

Seattle,Washington,United States

Machine Learning and AI

Want to build the training platform that engineers rely on to develop next-generation Apple products and services? As a machine learning engineer on our team, you will create software systems and algorithms to enable performant, scalable training for Apple's AI-driven experiences. Join our team of highly skilled, impact-focused engineers! This role also includes opportunities to open source your work and publish at top ML conferences.

**Key Qualifications**

+ Strong Python programming skills

+ Understanding of data structures, software design principles, and algorithms

+ Experience with deep learning frameworks, such as PyTorch, JAX, or TensorFlow

+ Experience developing model parallel and data parallel training solutions and other training optimizations

+ Experience building large-scale deep learning infrastructure or platforms for distributed model training

+ Experience with parallel training libraries such as torch.distributed, DeepSpeed, etc.

**Description**

We're looking for strong machine learning engineers to help build next-generation tools for training deep learning models at scale. You'll be part of a small team of training technology experts, focusing on training speed and scalability. We're looking for candidates with polished coding skills as well as passion for machine learning and computational science. Design and develop components for our centralized, scalable ML platform. Help push the limits of existing solutions for large-scale training. Develop novel techniques to circumvent the limitations of these solutions. Deploy your techniques on high-impact tasks from our partners across the company building new Apple products and services. We encourage publishing novel work at top ML conferences such as MLSys or NeurIPS and releasing contributions as open source. In exchange, we offer a respectful work environment, flexible responsibilities, and access to world-class experts and growth opportunities—all at one of the best companies in the world.

**Education & Experience**

PhD or Masters in the area of Computer Science or equivalent years of industry experience

**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 $161,700.00 and $284,900.00, 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 (https://www.apple.com/careers/us/benefits.html) 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.

**Apple Footer**

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. Learn more about your EEO rights as an applicant (Opens in a new window) .

Apple will not discriminate or retaliate against applicants who inquire about,disclose,or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco,review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area.

Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .


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AIML - Sr. Machine Learning Engineer - Machine Learning Platform Technology (MLPT)

Full time
Seattle, WA

Published on 03/28/2024

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