Machine Learning Systems Engineer

Apple

3d • $181,100 - $272,100

About The Position

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. 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: Are not afraid of CUDA OOM or NCCL errors Can dig deep into an ML library to understand how tiny details impact the model Can understand complex ML systems that include data, training pipeline, export, and inference engine

Requirements

• 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

Nice To Haves

• 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)

Benefits

• Comprehensive medical and dental coverage
• retirement benefits
• a range of discounted products and free services
• for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition
• this role might be eligible for discretionary bonuses or commission payments as well as relocation

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees