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Apple Computer Vision Data Scientist United States, California, Sunnyvale 521224608
06.06.2024
Description
We work on complex problems in computer vision that require robust, efficient, well tested, and clean solutions. The ideal candidate will possess the self-motivation, curiosity, and initiative to achieve those goals. You will work together with similar minds in a unique team where your skills and expertise can be used to influence future user experiences and products that will be used by millions.
Key Qualifications
- Extensive knowledge in statistical data analysis and machine learning techniques.
- Solid programming skills with Python for data processing and development.
- Experience developing data science pipelines, tool-chains, and workflows.
- Have a big enough toolbox to know how to find patterns in large and messy data, identify targets for performance, and identify sources of variance about those targets.
- Experienced with data visualization (e.g. matplotlib/ggplot/tableau).
- Have excellent verbal and written communications skills and experience in influencing decisions with information.
- You are self-motivated and curious with demonstrated creative and critical thinking capabilities and an innate drive to improve how things work.
- You have a high tolerance for ambiguity in a fast paced environment. You find a way through. You anticipate. You connect and synthesize!
Education & Experience
BS and a minimum of 3 years relevant 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 $138,900 and $256,500, 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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