AIML - ML Engineer
About The Position
As part of Apple's Machine Learning Research organization, we do world-class scientific research and build the technologies that will power future products at Apple. The ML Research Team does world-class research and development across a wide range of domains including understanding and improving ML, addressing bias and fairness in algorithms, privacy and federated learning, embodied and interactive ML systems, computer vision, and more. The techniques and tools we create will impact ML solutions across Apple, which in turn power most of the features we deliver to billions of consumers worldwide. We are looking for highly motivated, result-oriented engineers with a strong background in ML engineering and software development to join our team. In this position, you will work with researchers across the Machine Learning Research group to build scalable, distributed training and research pipelines in the latest and greatest generative models, diffusion models, including application such as large language models, speech and video.Work with researchers on the team to build high-performance and scalable software addressing novel ML research algorithms. Apply solid software engineering skills, leverage experience to deal with the unexpected, explore research software solutions and pave the way to future Machine Learning toolboxes. Be part of a small team dedicated to advancing ML algorithms and techniques - Is this you? If so we'd love to hear from you.
Requirements
- PhD in Computer Science (or related fields) or equivalent experience
- Expert in Python programming and tensor operations, including https://github.com/rougier/numpy-100
- Expert in at least one ML framework (PyTorch preferred but tensorflow or jax are ok as well), including flash-attention, efficient kv-caching, DDP and FSDP.
- Hands-on experience in establishing ML benchmarks (data, models, metrics)
- Active development in open-source projects and experience with collaborative software development
- Experience with CUDA programming, and/or High-Performance Computing and/or distributed computing
- Excellent communication skills
- Readiness to encounter unforeseen challenges and to solve them
- Past research experience
Nice To Haves
- C++ programming is a plus
- MLX experience is a plusArray
Responsibilities
- Work with researchers across the Machine Learning Research group to build scalable, distributed training and research pipelines in the latest and greatest generative models, diffusion models, including application such as large language models, speech and video.
- Work with researchers on the team to build high-performance and scalable software addressing novel ML research algorithms.
- Apply solid software engineering skills, leverage experience to deal with the unexpected, explore research software solutions and pave the way to future Machine Learning toolboxes.
- Be part of a small team dedicated to advancing ML algorithms and techniques
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Computer and Electronic Product Manufacturing
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees
