Camera Machine Learning - Data Scientist at Apple

Cupertino, California, United States -

Full Time

Start Date

Immediate

Expiry Date

12 Jan, 26

Salary

0.0

Posted On

14 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Hardware Performance Metrics, Data Visualization, Dashboard Creation, Python, ML Development, Image Science Applications, PCA, Predictions, Trends, Data Pipelines, Applied Computer Vision, Cloud Engineering, Database Technologies, Optical Sensing Concepts, Data Presentation

Industry

Computers and Electronics Manufacturing

Description

Apple delivers the most popular cameras in the world. Each product release provides breakthroughs in photography with stunning camera features that customers love. Our cameras deploy imaging complexity at the frontier of traditional camera engineering methods. Data volumes are growing to meet this need across camera simulations, performance calibrations, measurement results, and their correlations. Our need to incorporate perception and product decision-making into this data through analytics, pattern finding, prediction models, correlations, and rapid data visualizations is critical to continue delivering the most amazing experiences for our customers. DESCRIPTION As a Data Scientist, your work will build on our powerful data engineering platform and custom team tools by applying data science, meaningful insights, and related data innovations directly to our shipping camera products and teams. MINIMUM QUALIFICATIONS BS in physics, computer science, optics, image science, electrical engineering, data engineering, data science, or related fields and a minimum 3+ years of relevant industry experience Experience in data analysis and hardware performance metrics Experience in data visualization techniques or dashboard creation Experience coding in Python PREFERRED QUALIFICATIONS MS or PhD in physics, computer science, optics, image science, electrical engineering, data engineering, data science, or related fields Experience with ML development for image science applications, PCA, predictions, and trends Experience developing and/or using large-scale deployed data pipelines Experience in applied computer vision methods Experience in cloud engineering tools such as AWS, Snowflake, or similar Experience developing and /or using modern database technologies, including PostgreSQL, MongoDB Experience in optical sensing concepts and understanding of related performance metrics Experience with presenting data to Sr. management

Responsibilities

As a Data Scientist, your work will build on our powerful data engineering platform and custom team tools by applying data science, meaningful insights, and related data innovations directly to our shipping camera products and teams.