AIML - Sr Machine Learning Engineer, Data and ML Innovation
Seattle, Washington
Summary
As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you will have an opportunity to be part of an ML innovation organization within Apple that has its roots in the computer vision research community. MI is well positioned for strategic contributions in the short-term (on well-known Apple products) and in the long-term (on highly ambitious, high-risk, high-reward projects).
This role has a strong focus on shipping ML-based features and products.
You'll innovate in the entire end-to-end ML production pipeline. This includes but is not limited to crafting creative approaches to datasets, model training, and on-device inference optimizations. Our ideal team member is fearless when it comes to trying new things and is willing to iterate on ideas. We value team members who can quickly prototype, iterating all the way to high-quality implementations.
Description
As a member of this team, you will use your background to:
Develop features and models to improve the capabilities of systems that use machine learning
Scale up model training, build data pipelines, and tuning to improve system performance and user experience
Review and implement pioneering machine learning algorithms
Build software that improves rate of experimentation
Work with a multi-disciplinary team to ship end-to-end features that use machine learning
As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you will have an opportunity to be part of an ML innovation organization within Apple that has its roots in the computer vision research community. MI is well positioned for strategic contributions in the short-term (on well-known Apple products) and in the long-term (on highly ambitious, high-risk, high-reward projects).
This role has a strong focus on shipping ML-based features and products.
You'll innovate in the entire end-to-end ML production pipeline. This includes but is not limited to crafting creative approaches to datasets, model training, and on-device inference optimizations. Our ideal team member is fearless when it comes to trying new things and is willing to iterate on ideas. We value team members who can quickly prototype, iterating all the way to high-quality implementations.
Description
As a member of this team, you will use your background to:
Develop features and models to improve the capabilities of systems that use machine learning
Scale up model training, build data pipelines, and tuning to improve system performance and user experience
Review and implement pioneering machine learning algorithms
Build software that improves rate of experimentation
Work with a multi-disciplinary team to ship end-to-end features that use machine learning
Created: 2024-08-22
Reference: 200555572
Country: United States
State: Washington
City: Seattle
ZIP: 98109
About Apple
Founded in: 1976
Number of Employees: 154000
Website: https://www.apple.com/
Career site: https://www.apple.com/careers/us/
Wikipedia: https://en.wikipedia.org/wiki/Apple_Inc.
Instagram: https://www.instagram.com/apple/
LinkedIn: https://www.linkedin.com/company/apple
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