Machine Learning Engineer
Cupertino,California,United States
Hardware
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something. Video is at the core of nearly all Apple products, and as an engineer on our team, you will research practical ML algorithms and build with us the next generation of video technology. We are looking for a highly ambitious individual, who will flourish working on technically meaningful problems at the frontier of deep learning and compression research. Your work will redefine the video experience for billions of users.
Description
In this role you will work together with colleagues to develop ML-based video approaches for current and future Apple products. This position requires a highly self-directed individual, who is comfortable working at the cutting edge of research: strong and analytical skills will be critical towards solving challenging problems in uncharted technical territories. Your responsibilities will include: Provide the glue between ML and its efficient deployment. This will require a deep understanding of both the building blocks of ML models, but also techniques of their implementation. In order to optimize performance on-device, you will not only need to perform down-to-the-metal tuning, but also perform ML research to investigate novel model architectures which achieve optimal tradeoffs between accuracy and efficiency. Collaborate closely with team members to optimize the efficiency of the models and deploy them on particular hardware architectures Work with cross-functional teams to achieve quality and computational requirements towards shipping the technology Communicate: demonstrate the technology, present to leadership, discuss progress with colleagues, and so on
Minimum Qualifications
Experience in ML and specifically deep learning: principles, model prototyping and architecture design, training procedures, visualization and debugging methodology, objective function design, and so on
Strong familiarity with the latest ML and CV innovations
Proven track record of success in deep learning, with publications in top ML/CV venues
Experience in down-to-the-metal performance optimization: speed, power, memory footprint
Excellent software skills in common ML tools such as Python, PyTorch or TensorFlow, and in C/C++; experience implementing custom ops in CUDA is a plus
Excellent written and oral communication skills
Key Qualifications
Preferred Qualifications
Experience with one of the following is a big plus: generative modeling, optical flow, perceptual quality, ML for video or data compression
Experience in designing practical ML implementations and having ML experience in industry is a plus
Education & 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 $143,100 and $214,500, 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 (https://www.apple.com/careers/us/benefits.html) 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. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)
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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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