Machine Learning Infrastructure Engineer
About The Position
Want to ship amazing experiences in Apple products? Be part of the team in the Video Computer Vision (VCV) organization that focuses on people understanding from real-time video streams and building higher level reasoning algorithms. VCV delivered features such as Face ID, RoomPlan as well as many other computer vision algorithms powering Apple Vision Pro, iPhone, and iPad. We focus on a balance of research and development to deliver Apple quality, pioneering experiences. Come shape Apple products as a driven and dedicated ML Infrastructure and Data Engineer to push the limits of ML algorithms with hands-on work and real world and simulated data, in an innovative team and be part of building the next big thing.As part of the Video Computer Vision (VCV) team, you will help us create the data and infrastructure ecosystem needed to support our ML development and continuously improve our features. We take full end-to-end ownership of our services and data products, driving them through every stage meticulously, encompassing conception, design, implementation, deployment, and maintenance. As a result, each one of us takes our responsibilities seriously. In this team, you'll have the opportunity to work on complex problems in close partnership with our ML engineers, data scientists and software integration teams.
Requirements
- Experience with machine learning model development lifecycle, including data preprocessing, model training, evaluation, and deployment.
- Proficiency with cloud computing and distributed data processing infrastructure and tools (e.g., Ray, Spark, Trino).
- Hands-on experience with CI/CD pipelines and practices.
- Familiarity with Infrastructure as Code (IaC) tools (e.g. Terraform, Pulumi, or CloudFormation).
- Experience building on LLMs or other generative models.
- Ability to drive projects from concept to production, balancing business needs with technical quality and timely delivery.
- Excellent communication skills, ability to work both independently and multi-functionally.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Computer and Electronic Product Manufacturing
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
