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Apple SW Development Engineer Test - Computer Vision United States, California, Sunnyvale 657415374
01.06.2024
Description
- Contribute to defining feature specifications and anticipated user experience based on data insights.- Conduct research and stay abreast of the latest advancements in computer vision, deep learning, and related fields.- Develop tools for analyzing and visualizing data.- Work closely with program managers, CV engineers, ML engineers, and other stakeholders to understand requirements and translate them into technical solutions.
Key Qualifications
- Minimum of 3 years of relevant industry experience in computer vision and deep learning models.
- Strong background in computer vision with hands-on experience in image processing, object detection, segmentation, and other related techniques, SLAM experience is a plus.
- Proficiency in programming languages like Python, and at least 4 years of hands-on experience.
- Demonstrated experience in in-depth analysis of machine learning model failures
- Outstanding verbal and written communication skills
- Demonstrated ability to work effectively with cross-functional teams and stakeholders.
- Strong problem-solving skills and the ability to thrive in a fast-paced, dynamic environment.
- Excellent communication and collaboration skills.
- Ability to multi-task and manage tasks with varying priorities
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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