We're starting to see the incredible potential of generative models, and many applications in the computer vision and machine learning domain that previously appeared infeasible are now within reach. We are looking for a highly motivated and skilled Applied Machine Learning Research Engineer to join our team in the Video Computer Vision group and help us push the boundaries of human understanding. The Video Computer Vision org has pioneered human-centric real-time features such as FaceID, Face Kit, and Gaze and Hand gesture control which have changed the way millions of users interact with their devices. We balance research and product requirements to deliver Apple quality, pioneering experiences, innovating through the full stack, and partnering with HW, SW and AI teams to shape Apple's products and bring our vision to life.

Description:

You will drive ground breaking research in AI and computer vision, focusing on generative models. Your contributions will span foundational research to practical applications, encompassing the design, implementation, and evaluation of novel algorithms and models. Specifically, you will concentrate on human understanding - researching and learning human motion, activities, and representations. A key aspect of your work will involve exploring and developing approaches for generating multi-modal outputs, such as human motion, voice, and images.

This role offers the unique opportunity to innovate, bring your ideas to life, and transition your research into production-ready features that will empower products used by millions worldwide. You will collaborate closely with a diverse team of experts, including researchers, data scientists, software engineers, human interface designers, and application domain specialists, fostering continuous learning and knowledge exchange. By staying abreast of the latest advancements in AI, machine learning, and computer vision, you will directly drive innovation, influence the evolution of Apple's products, and profoundly improve the lives of our users.

Preferred Qualifications:

Hands-on experience with training production-quality models based on diffusion or a similar approach.

Publication record in relevant venues in AI, machine learning, computer vision, or computers graphics.

PhD in Computer Science, Electrical Engineering, or a related field with a focus on AI, machine learning, computer vision, or computer graphics.

Minimum Qualifications:

Experience in developing, training/tuning generative models, with a focus on generating multi-modal outputs such as voice, images, human motion, 3d structure, or similar.

Experience with at least one deep learning framework such as Py Torch, JAX, or similar.

Strong programming skills in Python with solid software engineering fundamentals.

Master's Degree in Computer Science or related field, plus 3 years of relevant industry experience.

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 .

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 $147,400 and $272,100, 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.