Job Details

Role Number: 200652298-0836

Summary

Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn’t have imagined, and now, can’t imagine living without. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do.

Description

APPLE INC has the following available in Cupertino, California and various unanticipated locations throughout the USA. Large scale computer vision /machine learning algorithm execution and evaluation pipeline implementation and optimization, including data ingestion, metric generation, and breakdown. Implement large scale data evaluation result ingestion to AWS based server. Implement and optimize the algorithm performance metric generation automation process. Implement and optimize the algorithm performance breakdown automation process. Perform Computer vision /machine learning algorithm on device result deep dive, failure analysis and report. Find machine leaning algorithm failure patterns with on device results to identify algorithm performance gaps. Associate failure patterns with user experience to help enhance the process of determining product shipping quality. Computer vision /machine learning algorithm on device automation pipeline bring up and optimization. New algorithm failure analysis tool development, including algorithm dashboard development, and video computer vision algorithm visualization. Develop web/server-based algorithm performance dashboard to help track algorithm performance trajectory. Develop new web/server-based failure analysis tool. 40 hours/week. 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 $149,365.00 - $220,900.00/yr and your base pay will depend on your skills, qualifications, experience, and location.

PAY & BENEFITS: 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 about Apple Benefits: https://www.apple.com/careers/us/benefits.html.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Minimum Qualifications

• Bachelor’s degree or foreign equivalent in Computer Science or related field and 2 years of experience in the job offered or related occupation.

• Experience and/or education must include:

• Utilizing Machine learning and computer vision knowledge to design algorithm evaluation

• Utilizing Spark to develop data pipeline for algorithm benchmark to monitor different computer vision models’ impacts

• Utilizing data visualization tool to monitor and analyze algorithm performance for large scale data

• Utilizing Jenkins or CI system to automate the evaluation process for computer vision algorithms to speed up the model deployment cycle

• Utilizing python (pandas, SciPy, scikit, TensorFlow) and SQL for data mining, wiring database queries, partitioning data and implementing metric to understand algorithm performance

• Using statistic concept analysis data to extract insights

• Utilizing Machine learning knowledge to design and implement automatic failure analysis

Preferred Qualifications

• N/A

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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) .