Principal AI Research Engineer

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.