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Job Description
In this position, you will work with researchers across the Machine Learning Research group to build and explore speechLLMs and spoken dialog systems.
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.
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
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
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