Computer Vision/Machine Learning Engineer

Want to ship amazing experiences in Apple products? Be part of the team in the Video Computer Vision (VCV) organization that focuses on people understanding from real-time video streams and building higher level reasoning algorithms. VCV delivered biometric features such as Face ID and Optic ID as well as many other computer vision algorithms powering Apple Vision Pro, iPhone, and iPad. We focus on a balance of research and development to deliver Apple quality, state-of-the-art experiences. Come shape Apple products as a driven and dedicated Computer Vision/Machine Learning Algorithm Engineer to push the limits of biometric ML algorithms with hands-on work and real world and simulated data, in an innovative team and be part of building the next big thing.

Description As a CV/ML engineer, you will develop new technologies for Apple's next generation products. The focus will be innovating and delivering effective, efficient and well-tested computer vision based solutions from prototyping to shipping that are often deployed on Apple's consumer devices. Besides domain expertise and technical knowledge the ideal candidate will possess the self-motivation, curiosity, and initiative to achieve those goals. Analogously, the candidate is a lifelong learner who passionately seeks to improve themselves and the quality of their work. You will work together with similar minds in an outstanding team where your skills and expertise can be used to influence future user experiences and hardware that will be used by millions.

Minimum Qualifications

• Background in machine learning and deep learning.
• Proficiency in Python programming.
• Experience using ML frameworks such as TensorFlow and PyTorch.
• BS and a minimum of 3 years of industry experience.

Preferred Qualifications

• Hands-on experience in areas like biometrics, object detection, landmark detection, and semantic segmentation.
• Theoretical and practical understanding of modern deep learning techniques such as vision transformers, encoder-decoder architectures and multi-modality.
• Solid mathematical foundation in linear algebra and probability theory.
• Understanding of classical image processing and 3D computer vision fundamentals.
• Familiarity with distributed computing.
• Excellent communication and collaboration skills.
• Creativity and curiosity for solving highly complex problems.
• MS or PhD in related field.

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 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 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 .