The point where experts and best companies meet
Apple AIML - ML Engineer MLR United States, California, Cupertino 380122925
31.08.2024
Share
Description
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
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.
Pay & Benefits
- At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $143,100 and $264,200, and your base pay will depend on your skills, qualifications, experience, and location.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
These jobs might be a good fit
