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 own the platform that enables the next generation of intelligent experiences on Apple products and services? Our group develops the platform that Apple uses for developing machine learning, artificial intelligence, and computer vision applications. As a machine learning engineer on our team, you will design and build software systems to enable the future of Apple's intelligent products. Join our team of nerdy, pragmatic, proficient, product-focused engineers!

Key Qualifications

• Strong Python programming skills

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

• Experience with one or more deep learning frameworks, such as TensorFlow and PyTorch

• Hands-on experience developing machine learning solutions

• Familiarity with DNN training algorithms

Description

We're looking for strong machine learning engineers to help build a next-generation framework for training deep learning models. You'll be part of a small team of developers and deep learning experts, working in the area of neural network system and algorithm optimization. We're looking for candidates with polished coding skills as well as passion for machine learning and computational science. 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. Design and develop components for our centralized, scalable ML platform. Train and evaluate DNNs to push the limits of existing solutions for large-scale training. Develop novel techniques to circumvent limitations of these solutions and evaluate your techniques on real-world tasks from our partners in Siri, Computer Vision, etc. We encourage publishing novel work at top ML conferences.

Education & Experience

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

Additional Requirements

• Strong background in applied math, including optimization and probability

• Strong C++ skills

• Publication record at ML conferences; familiarity with GPU programming

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 (~~~) 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.

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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) .

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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) .