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nlp deep learning data pipelines reinforcement learning post-trainingπ 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.
π― 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.
π Benefits
- Health, dental, and vision insurance.
- Flexible PTO.
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