Cupertino, California, United States Hardware
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Description
Your work shows your enthusiasm for the simulation, design and the engineering phase of Apple camera products and fuel our data-driven decisions. Your work includes: applied data science on high volume product performance data with innovations in predictions, correlations, analytics, and data visualizations. A foundation of your work will be rapid and effective visual analysis of complex datasets with presentation quality results shown to cross functional engineering teams and leaders. Product blocking issues that arise will benefit from your speed and skill in steering to resolution through robust analytics.Your work will continue to develop and deploy tools for ongoing analysis, discovering and detecting performance anomalies or artifacts in camera products. With your experience applying data into camera products, the data engineering platform and its analysis tools will define further required features and performance specifications providing direction for its development teams.
Minimum Qualifications
- BS in physics, computer science, optics, image science, electrical engineering, data engineering, data science or related fields.
- Experience in SWE, data engineering, or data science with a focus on hardware manufacturing and design
- Experience in Python and/or Matlab
Preferred Qualifications
- MS or PhD in physics, computer science, optics, image science, electrical engineering, data engineering, data science or related fields and a minimum of 3 years relevant industry experience
- Experience in data analysis, visualization and communicating results to cross-functional teams
- Proven ability in ML for image science applications, including dimensionality reduction, and delivering valuable insights through accurate predictions and trend identification.
- Specific experience in conducting RCA (root cause analysis) using statistical methods, machine learning techniques, and domain knowledge of hardware systems.
- Experience developing and/or using large-scale deployed data pipelines leveraging cloud engineering tools (AWS, Snowflake)
- Experience in applied computer vision methods
- Experience in optical sensing concepts and understanding of related performance metrics
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 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 .
Add to Favorites Data Scientist - Camera Engineering
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