Machine Learning Systems Engineer
The Siri organization is looking for passionate Machine Learning Systems Engineers to join us in developing and shipping state-of-the-art generative AI technology to advance Siri and Apple Intelligence for Apple's customers. Siri is being elevated by the huge opportunities that AI brings.
The organization is responsible for training on-device & cloud models, evaluating various approaches, pushing the envelope with the latest generative AI research developments, and ultimately delivering product critical models that power Siri and Apple Intelligence experiences. These models ship across a wide range of products at Apple, including iPhone, Mac, Apple Watch and more, enabling millions of people around the world to get things done every day. Our team provides an opportunity to be part of an incredible research and engineering organization at Apple. By joining the team, you will work with highly talented machine learning researchers and engineers, and work on meaningful, challenging and novel problems.
Description
As a Machine Learning Systems Engineer, you will work closely with Siri modeling teams and other cross-functional teams to optimize model training and inference. You will be working across the ML stack at Apple, finding opportunities to make models performant, train quicker, and run faster on Apple's custom Apple Silicon. You will be joining a team that spans data, modeling, evaluation, deployment and working with engineers across ML infrastructure, inference, and framework teams. You will write production-level code to train and deploy models that will impact Apple's customers and enrich their lives. You are an ideal candidate if you:
Preferred Qualifications
Collaborative with experience working in large inter-teams projects
Expertise in ML and LLM optimization such as quantization, KV Cache, Speculative Decoding
Familiarity with ML training methodologies such as FSDP, DDP, and other parallelism
Experience in an LLM training/eval library such as HuggingFace transformers, lm evaluation harness, Megatron-LM.
Experience in optimizing LLM models and deploying LLM models
Proficiency in a compiled programming language (e.g. Swift, C/C++, Java)
Minimum Qualifications
Experience in model lifecycle of training, evaluation, and deployment of models
Strong understanding of Machine Learning (ML) model architectures (e.g. Transformers, CNN) and ML training loop
Strong proficiency in Python and ML framework such as PyTorch
Bachelor's degree in Computer Science, Engineering, or related discipline, or equivalent industry/project experience
Want more jobs like this?
Get jobs in Cupertino, CA delivered to your inbox every week.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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. Learn more about your EEO rights as an applicant .
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
Company Videos
Hear directly from employees about what it is like to work at Apple.