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Apple Senior Computer Vision Machine Learning Engineer - Apple Pro United States, California, Sunnyvale 240781709
06.06.2024
Description
You’ll be working in a team of computer vision and machine learning researchers and engineers to prototype and ship world class algorithms that pushes the state of the art.Your job responsibilities will include:
Key Qualifications
- 5+ years of industry experience in CVML or similar fields
- Track record of successfully building and shipping products
- Strong experience in mobile machine learning and pipelining
- Strong experience in computational photography or computer vision
- Excellent coding skills
- Excellent communication and collaboration skills
- Excellent problem solving and analytical thinking skills
- Creativity and curiosity for solving highly complex problems
- Experience in C, Objective C, and Swift is preferable
- Experience in 3D graphics, lighting, and rendering is a plus
- Experience with human factors, especially eye tracking and human input interaction, is a plus
- Experience in multi-modal sensor fusion is a plus
- Understanding of camera hardware and camera optics is a plus
Education & Experience
MS or PhD in computer vision, machine learning, computer science, computer engineering or relevant industry experience with a track record of successful projects
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 $170,700 and $300,200, 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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