Staff / Principal Research Scientist - USA

Added
2 hours ago
Type
Full time
Salary
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Related skills

machine learning llms benchmarking agents

πŸ“‹ Description

  • Research state-of-the-art voice models and RL/reward modeling.
  • Develop, train, and scale foundation models.
  • Create eval loops and benchmarks; analyze failures.
  • Build APIs and tooling to ship research results.
  • Own full research lifecycle: question, experiments, papers, ships.
  • Collaborate across teams to drive impact.

🎯 Requirements

  • Foundation models: training, architectures, RL, reward modeling, scaling
  • Evaluation: benchmarks, eval loops, quality measurement
  • Frontier topics: multimodal models, agents, tool use, compute
  • Published research at ICML/ICLR/NeurIPS/EMNLP/ACL/AAAI
  • PhD in ML/NLP or equivalent practical experience
  • Full-stack research ownership: frame questions, run experiments, publish

🎁 Benefits

  • Relocation assistance to Mountain View
  • In-person collaboration in Mountain View office
  • Flat structure, fast iterations, minimal process theater

🚚 Relocation support

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