Member of Technical Staff - Research Fellow
3-month research fellowship for early-career researchers working on frontier Multimodal LLMs, generative modeling, and real-time audiovisual AI. Own a research problem in pretraining, post-training, RL, evaluation, or multimodal modeling. Strong PyTorch and first-author tier-1 paper required.
What You’ll Own
- Own a concrete research problem from framing through experiments, analysis, and integration into the Nuance stack
- Work on frontier Multimodal LLM systems spanning audio, video, language, and real-time interaction
- Explore and adapt modern generative modeling techniques, including flow matching, diffusion, autoregressive modeling, and hybrid approaches where they fit
- Read papers, reproduce key results, and turn promising ideas into production-grade experiments
- Design, instrument, debug, and interpret training and evaluation runs with scientific rigor
- Build evaluation harnesses, benchmarks, and analysis tooling for real-time conversational agents
- Take research-grade prototypes and turn them into systems that ship
- Work closely with senior researchers and engineers across the team; ramp on the stack fast
What We’re Looking For
Hard requirements:
- Strong working knowledge of PyTorch and deep learning — you can train a model, debug a training run, and reason about what’s happening at the loss level
- At least one first-author paper at a tier 1 venue (main conference proceedings) — NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP, NAACL, ICASSP, Interspeech, MLSys, SIGGRAPH, or equivalent — or equivalent evidence of unusually strong research taste and execution
- Genuine interest in joining Nuance full-time after the fellowship
Beyond the hard bar:
- Currently enrolled in or recently completed a BS, MS, or PhD in CS, ML, math, physics, EE, or a related field
- Strong programming ability and software engineering instincts
- High agency — when you see something broken or slow, you fix it; when you see an opportunity, you take it before being asked
- A bias toward shipping over polishing, with the judgment to know when each matters
- The appetite to pick up anything and optimize the hell out of it
Bonus Points:
- Hands-on experience with Multimodal LLMs, omni models, audio-language models, video-language models, speech generation, or real-time interactive agents
- Research or implementation experience with flow matching, diffusion models, rectified flows, autoregressive generation, neural codecs, or related generative modeling methods
- Multiple tier 1 publications, or a paper that received significant attention (best paper award, broad adoption, high citation impact for its age)
- Olympiad medals or finalist-level results in IMO, IPhO, IOI, IChO, IBO, IMC, or equivalent
- Codeforces grandmaster, ICPC world finals, Putnam fellow, Kaggle grandmaster, or similar
- Open-source contributions to major ML frameworks or research codebases
- A track record of independent projects that made something noticeably faster, smaller, or better
Compensation
- $200,000 – $250,000 annualized base salary during the 3-month fellowship (paid as a prorated stipend)
- Fellows who convert to a full-time Member of Technical Staff role step into a base salary of $250,000 – $350,000 plus meaningful equity
Benefits
- Health: HSA plan with ~$2,000 in annual company contributions
- Time off: 15 days of PTO plus public holidays, and we close the office for a full week at year-end
- Food: Lunch, drinks, and snacks on us every workday
- Commuter benefits: We help cover the cost of getting to the office
- 401(k): In the works
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