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Apple AIML - Staff ML Infrastructure Engineer 
United States, California 
101925456

18.11.2024
Description
- Drive large-scale training initiatives to support our most complex models.- Operationalize large-scale ML workloads on Kubernetes.- Enhance distributed cloud training techniques for foundation models.- Design and integrate end-to-end lifecycles for distributed ML systems- Develop tools and services to optimize ML systems beyond model selection.- Architect a robust MLOps platform to support seamless ML operations.- Collaborate with cross-functional engineers to solve large-scale ML training challenges.- Research and implement new patterns and technologies to improve system performance, maintainability, and design.- Lead complex technical projects, defining requirements and tracking progress with team members.- Mentor engineers in areas of your expertise, fostering skill growth and knowledge sharing.- Cultivate a team centered on collaboration, technical excellence, and innovation.
Minimum Qualifications
  • Bachelors in Computer Science, engineering, or a related field
  • 7+ years of hands-on experience in building scalable backend systems for training and evaluation of machine learning/deep learning models
  • Proficient in relevant programming languages, like Python or Go
  • Strong expertise in distributed systems, reliability and scalability, containerization, and cloud platforms
  • Proficient in cloud computing infrastructure and tools: Kubernetes, Ray, PySpark
  • Ability to clearly and concisely communicate technical and architectural problems, while working with partners to iteratively find solutions
Preferred Qualifications
  • Advance degrees in Computer Science, engineering, or a related field
  • Proficient in working with and debugging accelerators, like: GPU, TPU, AWS Trainium
  • Proficient in ML training and deployment frameworks, like: JAX, Tensorflow, PyTorch, TensorRT, vLLM
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 $175,800 and $312,200, 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.