Machine Learning Data Scientist - Computer Vision

Apple • Sunnyvale, CA

215d

About The Position

The Video Engineering organization is at the forefront of developing innovative technologies for future Apple products, with a strong focus on real-time video processing powered by foundation models. Our team has contributed to impactful projects such as FaceID for iOS and OpticID for Apple Vision Pro. We are currently looking for a hardworking Data Scientist to evaluate and craft Apple’s machine learning based products in the field of computer vision, solutions that touch the lives of millions of users around the world. You'll be tasked to collaborate with multi-functional teams including deep learning, quality assurance, cloud infrastructure, and user research. You will drive improvements in algorithm performance and guide feature development through data driven insights, helping to deliver outstanding user experiences across Apple’s product ecosystem.

Requirements

• BS and a minimum of 3 years relevant experience.
• Extensive experience in data science, machine learning, computer vision and statistical data analysis.
• Proven experience in in-depth analysis of machine learning model failures.
• Proficient in crafting, conducting, analyzing, and interpreting experiments and investigations.
• Advanced programming skills in data manipulation & processing (SQL & Python preferred).
• Expertise in data wrangling and developing data visualizations & reporting with toolings such as Tableau, Superset, AWS etc.
• Experience presenting data to stakeholders.

Nice To Haves

• Familiar with machine learning interpretability methods.
• Outstanding verbal and written communication skills.
• Strong collaborative abilities.
• Self-motivated and curious with creative and critical thinking capabilities.

Responsibilities

• Research and develop evaluation methods that support the continuous improvement of Apple’s diverse computer vision projects.
• Gain deep insight into Apple’s algorithms and conduct in-depth failure analyses using data from on-device to large-scale user studies.
• Uncover root causes of unexpected algorithm behavior.
• Regularly present findings to Apple senior leadership and multi-functional teams.
• Build and maintain automated pipelines that run on cluster machines to analyze and visualize data at scale.

What This Job Offers

• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees