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nlp deep learning data pipelines reinforcement learning post-training

πŸ“‹ Description

  • Drive foundational research and end-to-end deployment to production.
  • Architect a core research agenda to scale model reasoning.
  • Lead cross-functional work with AI labs and engineering teams.
  • Identify high-impact problems across domains for frontier projects.

🎯 Requirements

  • PhD in CS/ML/NLP with NeurIPS/ICML/ICLR publications.
  • Proven track record shipping research to production and live systems.
  • Experience with large-scale agent systems, orchestration & tooling.
  • Strategic and ethical leadership in AI safety governance.
  • Strong collaboration across research and engineering teams.
  • Excellent communication and project management.

🎁 Benefits

  • Health, dental, and vision insurance.
  • Flexible PTO.
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