Easter Seals Jobs

Machine Learning Engineer, Retail Engineering

Austin,Texas,United States

Machine Learning and AI

Are you passionate about Machine Learning and Computer Vision? Our Retail Engineering Apps team is looking for someone who is ready to push the boundaries of what’s possible in Apple Retail experiences. Join our team of driven and dedicated Machine Learning engineers in the Retail Apps Engineering team. We build software and hardware solutions that power the worldwide fleet of Apple Retail locations. In this role, you will utilizing Machine Learning and Computer Vision to develop the next generation of cutting-edge products to support our Apple Retail locations.

Description

Design, develop, Implement and improve machine learning models and software for Apple Retail stores using state-of-the-art technologies with hyper-parameter optimization algorithms. Lead a team of analysts to build a monitoring pipeline for 500+ Apple store telemetry and analytics. Provide detailed analysis and insights to identify trends and opportunities to drive improvements in core KPIs. Help on-boarding team members to facilitate an easy transition into the team and speed up the initial development phase.

Minimum Qualifications

• A background in computer science, engineering, data science, applied mathematics, or equivalent.

• Knowledgeable with an object-oriented programming language, such as Python, Swift, Objective C or Java.

• Hands-on experience with ML libraries like TensorFlow, PyTorch, CoreFlow, Sklearn, etc.

• Strong mathematical skills in linear algebra and statistics.

• Bachelor and/or MS in Computer Science, Data Analytics, or comparable degree

Key Qualifications

Preferred Qualifications

• Experience with integrating research prototypes into production applications.

• Ability to work in a collaborative environment.

• Practical knowledge of building and adapting algorithms for machine learning, computer vision, or related areas.

Education & Experience

Additional Requirements

• 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)

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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) .