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Senior Research Scientist, Nemotron Post-training

External
NVIDIA logoNvidia · Santa Clara, CA
Full-timeOn-site6d ago
ExpressMachine Learning
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Responsibilities

  • Advance open-source foundation models by developing training data, benchmarks, LLMs and software (including NeMo-RL , Nemo-Gym and yet to be announced software)
  • Solve large-scale, end-to-end foundation model post-training challenges, spanning the full model lifecycle from initial orchestration, data pre-processing, running of model training and tuning, to model deployment.
  • Publish and present your results at academic and industry conferences
  • What we need to see:
  • Master or PhD degrees in computer science, machine learning or other quantitative domains (or equivalent experience).
  • 5+ year working or research experience in model mid-training / post-training, reinforcement learning and agentic systems.
  • Hands-on experience in data curation and model training for Agentic and Reasoning capabilities
  • In-depth experience in using or developing inference and deployment environments such as vLLM, SGLang or TRT-LLM.
  • Ways to stand out from the crowd:
  • Industrial experience in reinforcement learning for leading foundation models.
  • Experience in optimizing model quality from real-world traffic feedbacks
  • Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits .
  • Applications for this job will be accepted at least until June 20, 2026. This posting is for an existing vacancy.
  • NVIDIA uses AI tools in its recruiting processes.

Additional Information

Join NVIDIA and help build the Nemotron models that will define the foundation of open-source generative AI. We are looking for a research scientist / engineer who is passionate about open-source and excited to create our next-generation post-training pipelines. You will work at the intersection of research and engineering to invent, implement, and scale the core post-training technologies behind our Nemotron models.


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