Computer Vision/Machine Learning Software Engineer

Sunnyvale,California,United States

Machine Learning and AI

We’re looking for an expert hard-working Senior Computer Vision/Machine Learning Software Engineer to join our team of applied researchers and software engineers who develop CV/ML technologies for new Apple products. Technologies built within the Video Computer Vision organization (VCV), such as FaceID, FaceKit, and Gaze and Hand gesture control for Vision Pro, have changed the way millions of users interact with their devices. As part of the VCV Body Technologies Team, we focus on CV/ML technologies for people understanding in the next generation of products that will delight our customers. We balance research and product needs to deliver highest quality, state-of-the-art experiences, innovating through the full stack, and partnering with HW, SW and ML teams to create some of the most impactful CV/ML products ever shipped by Apple.

Description

The Body Technologies team is responsible for many of the key algorithms for people understanding in videos and photos on Apple products such as iPhone and Vision Pro. We conduct research and development in the space of Virtual and Augmented Reality and design algorithms that drive features such as pose estimation, body tracking, shape estimation and action classification. We’re looking for a Senior Computer Vision/Machine Learning Software Engineer to join our team and contribute to highly visible and impactful projects. You will have the opportunity to use your skills to go beyond the state of the art, design and implement proof of concept prototypes, coordinate crossfunctional work with multiple other teams, and solve the challenges associated with the transition of a prototype into an Apple quality product.

Minimum Qualifications

• Experience implementing and integrating CV/ML algorithms and designing SW systems

• Programming skills in Swift/Obj-C/C++ and Python

• Experience with on-device implementation and optimization of deep learning models and workflows

• BS degree and a minimum of 3 years of relevant industry experience

Key Qualifications

Preferred Qualifications

• Experience leading a team of SW engineers in cross functional projects

• Familiarity with ML training frameworks such as PyTorch, TensorFlow, JAX, MLX

• MS in Computer Science with experience in relative fields

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 $264,200, 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 (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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