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 speech processing and ML engineering to join our team. In this position, you will work with researchers across the Machine Learning Research group to build and explore speechLLMs and spoken dialog systems.
Description
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.
Minimum Qualifications
M.S. 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)
Involvement with open-source projects and experience with collaborative software development
Excellent communication skills
Readiness to encounter unforeseen challenges and to solve them
Preferred Qualifications
Speech processing (including generative modeling of speech) experience is a plus
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
C++ programming is a plus
MLX experience is a plus
Eeo Content
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.
