Join the team responsible for Apples Beta Software Program! Our app, Feedback Assistant, collects user feedback on beta OS software releases, while our internal tools analyze, group, and send impactful feedback to Apple's engineering teams. We are looking for engineers to apply machine learning approaches to making the most out of our feedback.
As a Software Engineer in Machine Learning, you will investigate innovative machine learning algorithms with the goal of amplifying the impact of our customer feedback. You will pursue research and prototype designs to suggest innovative approaches. To implement these designs, you'll implement data cleanup and preprocessing pipelines, infrastructure to support model training, and systems to visualize the results.
Your duties will vary, but may include:
Building end-to-end tools to make use of our extensive dataset
Deciding between machine learning and data analysis approaches to tackle problems
Directing research to align with the constraints of our production system
Working with large scale computing frameworks, data analysis systems and modeling environments
Using current programming languages and technologies to translate algorithms and technical specifications into code
Participating in the strong ML community at Apple
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