Senior ML Infrastructure Engineer

Cupertino, California, United States
Machine Learning and AI
履歴書を送信Senior ML Infrastructure Engineer
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Summary

Posted:
Weekly Hours: 40
Role Number:200546899
The Intelligence Platform team empowers clients across Apple’s operating systems with high quality user-centric knowledge and inferences that enable next generation user experiences. We’re a systems engineering team focused on building the platform which enables state of the art technologies like generative AI, graph machine learning, and private learning to be used by hundreds of teams across Apple. This platform plays a critical role in the OS, acting as a central nervous system that is responsible for receiving, processing, responding to, and remembering crucial information. We are looking for an accomplished and driven senior software engineer with a background in designing large systems around Machine Learning, Large Language Models, and Generative AI. Your primary role will be designing and building the platform for teams across Apple used to bring intelligence to their applications and services. Your ideas will power next generation features, and impact hundreds of millions of people worldwide in their daily lives!

Key Qualifications

  • Excellent software design, problem solving and debugging skills
  • Background architecting and building data or machine learning platforms
  • Experience building on LLMs or other generative models
  • Proven ability to comprehend, interpret, and apply cutting-edge research into tangible applications.
  • Deep understanding of multi-threaded programming and synchronization.
  • Experience building production feature engineering pipelines a plus
  • Experience with distributed data systems a plus
  • Experience with macOS/iOS development is a plus

Description

As a Senior Engineer on the Intelligence Platform Team, you’ll join a phenomenal team of hardworking engineers and will be entrusted with a range of responsibilities. Your work will include: Collaborating with teams across Apple on training, qualifying, deploying, and serving models; designing and refining systems and APIs for Machine Learning and Generative AI; understanding and adapting new model architectures to constraints of their execution environments; working with leadership across Apple to define policy. You will be responsible for bringing industry leading research to hundreds of millions of people using Apple products every day.

Education & Experience

B.S in Computer Science or equivalent practical 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 $138,900.00 and $256,500.00, 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.
履歴書を送信Senior ML Infrastructure Engineer
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