AIML - ML Engineer

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As part of Apple’s Machine Learning Research organization, we do world-class scientific research and build the technologies that will power future products at Apple. The techniques and tools we create will impact ML solutions across Apple, which in turn power most of the features we deliver to billions of consumers worldwide. We are looking for highly motivated, result-oriented engineers with a strong background in Computer Science, Machine Learning engineering and software development to join our team. In this position, you will work with researchers across the Machine Learning Research group to build scalable data processing and research pipelines from scratch in the latest and greatest generative models and sequence processing (video, text and speech).
Work with researchers on the team to build high-performance and scalable software addressing novel ML research algorithms and data processing. Apply solid software engineering skills, leverage experience to deal with the unexpected, explore research software solutions and pave the way to future Machine Learning toolboxes. Be part of a small team dedicated to advancing ML algorithms and techniques - Is this you? If so we'd love to hear from you.
  • B.S. in Computer Science, or related fields
  • 2 years in Python programming, including https://github.com/rougier/numpy-100 - including internships
  • 1 years in at least one ML framework (PyTorch preferred, tensorflow or jax are ok) - including internships
  • Hands-on experience in building and evaluating data processing pipelines: from scratch, using OSS ML models, etc.
  • Involvement with open-source projects and experience with collaborative software development
  • Excellent communication skills
  • Readiness to encounter unforeseen challenges and to solve them
  • * M.S. in Computer Science (or related fields) or equivalent experience
  • * 3+ years in Python programming, including https://github.com/rougier/numpy-100 - including internships
  • * 2+ years in at least one ML framework (PyTorch preferred, tensorflow or jax are ok) - including internships
  • * Hands-on experience in building and evaluating data processing pipelines: from scratch, using OSS ML models, etc.
  • Hands-on experience in establishing ML benchmarks (data, models, metrics)
  • Active development in open-source projects and experience with collaborative software development
  • Excellent communication skills
  • Readiness to encounter unforeseen challenges and to solve them
  • Past research experience is a plus
  • C++ programming is a plus
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 $143,100 and $264,200, 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 seek to promote 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.

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