Senior Machine Learning Engineer

Do you have a passion for building the best photo app experience in the world? iPhone is the most popular camera in the world! Seamless integration of software and hardware has delivered magnificent experiences like Photos Memories and Portrait Mode. The Camera & Photos team develops privacy-respecting machine learning technologies to ship emotional experiences to hundreds of millions of users worldwide. We are looking for an experienced Machine Learning Engineer to join our team to be part of this mission.
Description
5+ years of industry experience building machine learning and deep learning based software applicationsStrong machine learning and deep learning fundamentalsHands on experience with large language models (LLMs) and parameter efficient fine tuning of LLMsSolid understanding of inference speed up techniques such as speculative decoding and optimization of LLMs for human preferencesProficiency with deep learning toolkits such as PyTorchExceptional problem-solving and interpersonal skillsRobust applied software methodology, process, and quality skills to take an ML algorithm from a prototype to a final production quality deploymentProven ability to excel in a fast-paced development teamIn this role, you will be working on ideating and developing privacy preserving machine learning, deep learning, and generative AI algorithms for Photos features. Candidates should have a proven track record that demonstrates innovation, strong collaboration, excellent interpersonal skills, and a passion for designing and developing high-quality software.
Key Qualifications
5+ years of industry experience building machine learning and deep learning based software applications
Strong machine learning and deep learning fundamentals
Hands on experience with large language models (LLMs) and parameter efficient fine tuning of LLMs
Solid understanding of inference speed up techniques such as speculative decoding and optimization of LLMs for human preferences
Proficiency with deep learning toolkits such as PyTorch
Exceptional problem-solving and interpersonal skills
Robust applied software methodology, process, and quality skills to take an ML algorithm from a prototype to a final production quality deployment
Proven ability to excel in a fast-paced development team
Education & Experience

M.S or Ph.D. degree in Computer Science, Electrical Engineering, or equivalent experience
Additional Requirements
Experience optimizing ML and Deep Learning algorithms for embedded systems
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 $170,700 and $300,200, 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.

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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. Learn more about your EEO rights as an applicant.

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