Nuance Research Fellow
$200,000–$250,000 year
On-site · Seattle, Washington, United States
Job Summary
Nuance Research Fellow role focused on advancing multimodal AI with full-duplex audiovisual interaction. Responsibilities include contributing to research workstreams (pretraining, post-training, RL, evaluation, data, multimodal modeling, or inference), reading and reproducing papers, running rigorous experiments, building evaluation harnesses and tooling, turning research prototypes into deployable components, and collaborating with senior researchers and engineers. Requires strong PyTorch/deep learning expertise, a first-author paper at a tier-1 venue, and a track record of independent, impactful work. Location is in-person in Seattle; visa sponsorship available from day one. Compensation ranges from $200k–$250k annualized during the 3-month fellowship, with potential transition to a full-time MTS role.
Required Qualifications
- Strong working knowledge of PyTorch and deep learning — able to train a model, debug a training run, and reason about loss dynamics
- At least one first-author paper at a tier 1 venue (NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP, NAACL, ICASSP, Interspeech, MLSys, SIGGRAPH, or equivalent)
- BS, MS, or PhD in CS, ML, math, physics, EE, or a related field — completed or in the final stretch
- Strong programming ability and software engineering instincts
- High agency and a bias toward shipping with discernment about when to polish
- Track record of independent projects that improved performance (faster, smaller, better)
- Willingness to join Nuance full-time after the fellowship
- Bonus: multiple tier 1 publications or notable recognition
- Hands-on experience with multimodal models (audio, video, language) or real-time systems
- Open-source contributions to major ML frameworks or research codebases
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