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Apple Senior Machine Learning Engineer - Apple Vision Pro United States, California, Los Angeles 653036023
13.06.2024
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Description
You’ll be working in a team of computer graphics and machine learning researchers and engineers to implement world class algorithms that pushes the state of the art.Your job responsibilities will include: Inventing and implementing state of the art computer graphics and vision algorithms to solve cutting edge problems Designing such algorithms to work reliably and efficiently on mobile devices
Key Qualifications
- 5+ Years of professional experience
- Solid foundation in 3D geometry and linear algebra
- Experience in machine learning, preferably in computer vision or 3D deep learning applications
- Deep knowledge of rendering, and familiarity with differentiable rendering
- GPU programming experience with Metal Performance Shaders, or CUDA
- Experience in deep learning frameworks like PyTorch or TensorFlow
- Strong experience in C++
- 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
Education & Experience
Ph.D./M.S in computer vision, machine learning, computer science or 5+ years of equivalent industry experience
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 $131,500 and $243,300, 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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