Computer Vision Data Scientist
Location
Cupertino, CA | United States
Job description
Do you have a passion for computer vision and deep learning problems?
The Video Engineering Data Analytic and Quality (DAQ) group is looking for a data scientist with a strong emphasis on deep system understanding through data analysis. In this role, you will collaborate with multiple teams (machine learning, quality assurance, cloud infrastructure support, user studies). We work on multiple, related projects requiring a bit of creativity and ingenuity. You will partner with video computer vision teams to improve algorithm quality and guide feature development with data, to deliver amazing computer vision experiences.
Key Qualifications
- 3+ years relevant industry experience
- Solid background in data science, machine learning, Computer vision and statistical data analysis
- Demonstrated experience in in-depth analysis of machine learning model failures
- Experience crafting, conducting, analyzing, and interpreting experiments and investigations
- Advanced programming skills in data manipulation & processing (SQL & Python preferred)
- Proven expertise in data wrangling and developing data visualizations & reporting with toolings such as Tableau, Superset, AWS etc.
- Self-motivated and curious with creative and critical thinking capabilities to improve data quality evaluation methods for diverse and complex data annotation programs
- Outstanding verbal and written communication skills, along with strong collaborative abilities
- Experience presenting data to stakeholders
Description
Video Engineering DAQ team is seeking a self-motivated data scientist to research and develop evaluation methods to drive the continuous improvement for Apple’s wide variety of computer vision projects. You will deeply understand algorithm module and design intermediate metrics to evaluate algorithm from telemetry (on-device logging data). You will identify core metrics to track usage and performance for computer vision algorithms on large scale data, and conduct deep-dive failure analysis to find the potential root cause of unexpected performance. You will build and maintain automated pipeline and dashboard for analyzing and visualizing data and present your meaningful findings to communicate up leadership and cross-functional teams.
Education & Experience
BS and a minimum of 3 years relevant industry 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 $132,300.00 and $241,500.00, 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 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.
Video Engineering DAQ team is seeking a self-motivated data scientist to research and develop evaluation methods to drive the continuous improvement for Apple’s wide variety of computer vision projects. You will deeply understand algorithm module and design intermediate metrics to evaluate algorithm from telemetry (on-device logging data). You will identify core metrics to track usage and performance for computer vision algorithms on large scale data, and conduct deep-dive failure analysis to find the potential root cause of unexpected performance. You will build and maintain automated pipeline and dashboard for analyzing and visualizing data and present your meaningful findings to communicate up leadership and cross-functional teams. BS and a minimum of 3 years relevant industry experience
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