AIML - Senior Machine Learning Infrastructure Engineer -ML Compute, ML Platform & Technology

Santa Clara, California, United States Machine Learning and AI

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better.

It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something!

As a Senior Engineer on ML Compute Team, you’ll join a phenomenal team of hardworking engineers and will be entrusted with a range of responsibilities. Your work will include: collaborating with teams across Apple on ML workloads such as training, inferencing, fine tuning, etc.; driving the design and delivery of critical features to facilitate ML compute workloads; effectively communicating complex features and systems in detail;

understanding industry & company‑wide trends to help assess & develop new technologies. Your work will impact hundreds of millions of users and be essential to the success of some of the most visible current and future Apple features.

We are the team who build and maintain compute infrastructure to run ML workloads at Apple that include training, inferencing, fine tuning, etc. We are looking for an experienced software engineer who is excited by the opportunity to solve unique, large‑scale, highly complex technical problems to make ML workloads more stable, reliable, efficient and cost‑effective. You will collaborate with a wide range of internal teams, listening intently to understand their challenges and true underlying needs.

We are looking for candidates who share a passion for tackling complexity and building platforms that can scale through multiple orders of magnitude.

• Scope, architect, and deliver innovative high‑quality solutions
• Effectively communicate complex features and systems in detail
• Collaborate with teams across Apple on ML workloads such as training, inferencing, fine tuning, etc.
• Understand industry & company‑wide trends to help assess & develop new technologies
• Code using Go, Python
• Conduct code reviews
• Help onboard new team members, provide mentorship and enable successful ramp up on your team’s code bases

• Bachelors in Computer Science, engineering, or a related field
• 4+ 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 and data processing infrastructure and tools:
  Kubernetes, Ray, Beam, Flink
• Ability to clearly and concisely communicate technical and architectural problems, while working with partners to iteratively find solutions

• Advanced 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, Tensor Flow, PyTorch, TensorRT, vLLM

At Apple, base pay is one part of our total compensation package and is determined within a range. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through…