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Apple Computer Vision Machine Learning Engineer - Apple Pro United States, California, Sunnyvale 81465762
25.07.2024
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Description
You’ll be working in a team of computer vision and machine learning researchers and engineers to implement world class algorithms that pushes the state of the art. Your job responsibilities will include:
Minimum Qualifications
- 4+ years of industry experience in CVML, or Ph.D./M.Sc. in similar field
- Strong experience in 3D Computer Vision algorithms
- Experience in machine learning, preferably in 3D computer vision applications
- Solid foundation in 3D geometry and linear algebra
- Good experience in Python and science libraries like Numpy, Pandas, Matplotlib
- Solid in deep learning frameworks like PyTorch or TensorFlow
- Experience in C++ is a big bonus
- Experience in 3D graphics and rendering is a big plus
- Sensor fusion experience is a big bonus
- Excellent communication and collaboration skills
- Excellent problem solving and analytical thinking skills
- Track record of successfully building and shipping products or open source projects
- Creativity and curiosity for solving highly complex problems
Preferred Qualifications
- Computer Vision and/or Computer Graphics background is a plus
- Experience with ML algorithms and performance optimization is a plus
- Programming experience with Apple frameworks using Objective-C and/or Swift is a plus
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.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.
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