Source description
About the role
Degree in Computer Science, Machine Learning, or a related field, or equivalent research experience; typically 6+ years applying ML/AI in production settings.
Deep expertise in modern deep learning, with strong command of LLMs, transformers, and at least one of speech/ASR, NLP, information retrieval, or multimodal modeling.
A track record of taking research from idea to deployed, scaled product—not just publications, but shipped impact.
Expert-level proficiency in Python and a major deep learning framework (PyTorch preferred), with strong software engineering fundamentals.
Hands-on experience training and serving large models, including distributed training, optimization, and efficient inference.
Demonstrated technical leadership: setting direction, mentoring engineers, and influencing across teams.
Clear communicator able to convey complex technical ideas to both research and product audiences.
More at Level AI