AIML – ML Engineer, MLR

Summary

Posted: Oct 21, 2024

Role Number:200566615

As part of Apple’s Machine Learning Research organization, we do world-class scientific research and build the technologies that will power future products at Apple. The ML Research Team does world class research and development across a wide range of domains including understanding and improving ML, addressing bias and fairness in algorithms, privacy and federated learning, embodied and interactive ML systems, computer vision, and more. The techniques and tools we create will impact ML solutions across Apple, which in turn power most of the features we deliver to billions of consumers worldwide. An engineer in this position will work with researchers across the Machine Learning Research group to build tools and infrastructure to support and accelerate large scale research pipelines across the group. Candidates will need strong communication skills to work with a diverse set of partners and customers to determine the right solutions for the problems at hand. They will learn industry standard and custom tools/infrastructure to build these solutions. This work will directly benefit the researchers across our team and all of Apple.

Description

We are looking for highly motivated, result-oriented engineers with a strong background in system engineering and machine learning software development to join our team. In this position you will help build and deploy software to solve a variety of high performance computing needs including large-scale distributed ML training and research. * Work with researchers on the team and partner teams across the company to build custom high performance and scalable ML research pipeline solutions * Apply solid software engineering skills and best practices to make reliable software that solves problems * Be part of a small team dedicated to improving ML through software engineering * Make ML solutions across Apple work well for all of our many users Is this you? If so we’d love to hear from you.

Minimum Qualifications

• Knows fundamentals of object-oriented software design and programming
• Experience with large-scale ML data and model pipelines
• Excellent communication and cross-functional collaboration skills
• Inquisitive in pursuit of excellence, able to demonstrate strong sense of curiosity
• You have an insatiable appetite to debug and figure out why the thing you’ve built do not work as expected

Preferred Qualifications

• Previous experience with large scale machine learning infrastructure and Docker
• Understanding of large scale distributed systems and compute infrastructure
• Experience with cloud computing services (AWS, GCP) and Kubernetes based deployments
• Proficient with Python
• 5 years industry experience.