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Apple Computer Vision Generative AI Engineering Manager - Apple Pro United States, California, Sunnyvale 827427579
13.06.2024
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Description
This role demands a highly technical leader with a strong command of technical concepts and skills. 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:
Key Qualifications
- 2+ years leading teams that design and deliver advanced ML projects (3D CV algorithms and generative models)
- 5+ years of industry experience in CVML and an advanced degree (Ph.D./M.Sc.) in CVML or similar field
- A strong track record of shipping products and publications / patents
- Strong experience in 3D Computer Vision algorithms
- Experience with Multi-modal LLMs, Multi-modal contrastive learning, Foundation models, Diffusion based models
- Experience in machine learning, preferably in 3D computer vision applications
- Solid foundation in 3D geometry and linear algebra
- Solid in deep learning frameworks like PyTorch or TensorFlow
- Good experience in Python and science libraries like Numpy, Pandas, Matplotlib
- Experience in C++ is a plus
- Experience in 3D graphics and rendering is a plus
- Sensor fusion experience is a plus
- Excellent communication and collaboration skills
Education & Experience
MS or PhD in computer vision, machine learning, computer science, computer engineering or related fields
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 $183,400 and $316,900, 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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