Role at a glance
- Job function
-
AI & Data Computer Vision Engineering
- Salary
- $129.3K – $225.3K/yr
- Location
- Sunnyvale, California, United States
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Role Summary
The Computer Vision/Deep Learning Engineer develops computer vision and machine learning technologies for next-generation products, including solutions for understanding people in real-time video and biometric applications. The role spans prototyping through shipping, with a focus on effective, efficient, well-tested solutions that are often deployed on edge devices.
What You'll Do
- Develop computer vision and machine learning technologies for next-generation products.
- Build solutions for understanding people from real-time video streams and higher-level reasoning.
- Innovate and deliver computer vision solutions from prototyping through shipping.
- Work on biometric machine learning algorithms using real-world and simulated data.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Background in machine learning and deep learning; proficiency in Python; experience using ML frameworks such as TensorFlow and PyTorch; BS and a minimum of 3 years of industry experience.
Required
- 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
- Experience in object detection, vision transformers and multimodal networks.
- Excellent communication and collaboration skills.
- Creativity and curiosity for solving highly complex problems.
- Experience in biometrics, face tracking, gaze tracking, classical image processing, or computer vision.
- Familiarity with cloud technologies is a plus.
- MS or PhD in related field.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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
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
Experience in object detection, vision transformers and multimodal networks.
Excellent communication and collaboration skills.
Creativity and curiosity for solving highly complex problems.
Experience in biometrics, face tracking, gaze tracking, classical image processing, or computer vision.
Familiarity with cloud technologies is a plus.
MS or PhD in related field.
Pay & Benefits — Sunnyvale, California, United States
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 $129,300 and $225,300, 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.
Application Deadline
Apple accepts applications to this posting on an ongoing basis.
About the company
Apple
Large Enterprise
Apple Inc. is a global technology company known for its innovative products and services, including the iPhone, iPad, Mac computers, and Apple Watch. Founded in 1976, Apple has continuously pushed the boundaries of design and functionality, earning a reputation for high-quality consumer electronics and software solutions like iOS and macOS. With a strong commitment to user experience and privacy, Apple also leads in digital services, offering platforms such as the App Store, Apple Music, and iCloud. The company's focus on sustainability and corporate responsibility further enhances its standing as a leader in the technology sector.