AIML - Senior Machine Learning Engineer (On-Device Machine Learning), Machine Learning Platform[...]

Summary

Posted: Sep 9, 2024

Weekly Hours: 40

Role Number: 200566203

Apple’s machine learning framework (Core ML) is looking for an exceptional software engineer to expand and support its suite of ML frameworks. In this highly collaborative role, you will be at the center of multiple efforts to make ML an accessible and powerful tool for all developers. We are looking for someone with proven mastery of software development with specific skills in ML. You should have a strong mix of education and practical experience with a real passion for diving into challenging problems head first. In this dynamic role, you will be working on building highly performant ML frameworks on Apple devices and supporting developer adoption of their capabilities. We’re looking for a highly motivated engineer that is creative, talented, and passionate about great products and fast, iterative development. You should enjoy drilling down into performance optimization, moving up to API design, all the way to creating your own frameworks and providing supporting content to empower developers.

Description

You will develop, maintain and support Apple’s ML frameworks and tools. You will have the opportunity to work cross-functionally with many teams at Apple and impact a number of technologies. You will gain a deep understanding of our Core ML and Create ML frameworks in order to effectively work with both internal and external developers and advise them on best practices for deploying on-device ML solutions on Apple hardware. You will be responsible for staying up to date on the latest applications of machine learning and for ensuring we are developing the functionality necessary for our developers to take advantage of those advancements.

1. Strong and proven software development skills
2. Passion for software architecture, API design and developer experience
3. Experience with and knowledge of a variety of machine learning libraries/packages
4. Exceptional verbal and written communication skills
5. Experience with Apple’s development tools, languages (e.g. Swift), SDK, and app development is a big plus

Preferred Qualifications

1. Experience with ML platforms and framework API design and experience working with ML feature developers
2. Experience with on-device ML model enablement on edge devices
3. Experience optimizing ML models for inference (Generative AI, LLMs, image and computer vision)
4. BS/MS/PhD in Computer Science or Electrical Engineering

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 $175,800 and $312,200, 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.

More

• 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.

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