Computer Vision/Deep Learning Engineer
Sunnyvale, CAJobSeen 1w agoSeen in employer's feed 2 days ago
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At a glance
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Requirements
Credentials this posting asks for.
Job overview
The Computer Vision/Deep Learning Algorithm Engineer will develop computer vision and machine learning technologies for Apple’s next-generation products, from prototyping through shipping. The work focuses on efficient, well-tested solutions, often deployed on edge devices, and may involve real-world and simulated data. The role is part of Apple’s Video Computer Vision organization, which develops people-understanding and higher-level reasoning algorithms for Apple products.
Skills & qualifications
Skills
Qualifications
Full job description
Role Number: 200689830-3956
Summary
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/Deep 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 edge 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
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Background in machine learning and deep learning.
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Proficiency in Python programming.
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Experience using ML frameworks such as TensorFlow and PyTorch.
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BS and a minimum of 3 years of industry experience.
Preferred Qualifications
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Experience in object detection, vision transformers and multimodal networks.
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Excellent communication and collaboration skills.
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Creativity and curiosity for solving highly complex problems.
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Experience in biometrics, face tracking, gaze tracking, classical image processing, or computer vision.
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Familiarity with cloud technologies is a plus.
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MS or PhD in related field.
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.
How this job compares
Set against the 6,329 open Machine Learning Engineer jobs on Olive Jobs, counted October 31, 2026.
- Pay
- This postingNot listed
- California median$175–260K/yr1,382 salary ranges
- California median$50–78/hr33 hourly ranges
- Openings
- Olive Jobs lists 1,862 open Machine Learning Engineer jobs in California and 6,329 across the US. 7% of them nationwide are listed as remote or flexible.
- Hiring the most in California
- Apple (this employer)169 open
- Google112 open
- Capital One59 open
- Experience
- This posting asks for at least 3 years of experience; Machine Learning Engineer postings that state a minimum ask for 5 years at the median (5,148 postings).
- Education
- This posting asks for a bachelor's degree; 2,543 of the 6,329 open Machine Learning Engineer jobs (40%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 31, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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