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Computer Vision Engineer

Sunnyvale, CA, United States

Computer Vision Engineer

Sunnyvale,California,United States

Machine Learning and AI

Do you have a passion for computer vision and deep learning problems? Are you interested in the latest development of the computer vision algorithms that is used in Apple Vision Pro? The Data Analytics and Quality (DAQ) group is seeking a senior computer vision algorithm engineer to specialize in the evaluation of computer vision and deep learning algorithms. This role involves collaboration with teams at Apple focused on developing algorithms, including computer vision engineers, ML engineers, data scientists, and Infrastructure engineers. Your primary responsibilities will include developing methods for the evaluation and improvement of foundation algorithms/ models, as well as refining the data used in training them, utilizing data centric AI approaches. The ideal candidate will have extensive industry experience, a proven track record of developing innovative solutions, and the ability to collaborate effectively with cross-functional teams. KEY RESPONSIBILITIES: - Evaluate computer vision algorithms and deep learning models to solve complex problems in Apple Vision Pro. - 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. - Collaborate with cross-functional teams to integrate computer vision and deep learning capabilities into our products and services. - Provide technical guidance and mentorship to junior team members.

Description

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

Minimum Qualifications

BS and a minimum of 3 years relevant industry experience

Key Qualifications

Preferred Qualifications

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

Additional Requirements

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.Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.Learn more (https://www.apple.com/careers/us/benefits.html) about Apple Benefits.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.Learn more about your EEO rights as an applicant. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)

Apple Footer

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. Learn more about your EEO rights as an applicant (Opens in a new window) .

Apple will not discriminate or retaliate against applicants who inquire about,disclose,or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco,review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area.

Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .

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