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As a Research Scientist, you will be a core contributor to Zyphra’s Agency and Reasoning Team. You will be involved with performing novel research in reinforcement learning, post-training, and human preference learning, and applying your ideas at scale to our next generation of language models.
Job Responsibility:
Performing novel research in reinforcement learning, post-training, and human preference learning, and applying your ideas at scale to our next generation of language models
Requirements:
Experience and aptitude with reinforcement learning, either in the context of language model reasoning or more classical RL tasks
Experience with language model supervised finetuning and preference learning methods such as DPO, simPO, etc.
Experience with context-length extension methods
A good intuitive ability to understand model behaviors and correct them through iterative fine-tuning
Interest in grappling in detail with data and spending significant time involved in data engineering and synthetic data generation
Postgraduate degree in a scientific subject (Computer Science, EE/EECS, Mathematics, Physics)
Previously published machine learning research in well-respected venues
Highly proficient with PyTorch and Python
Excellent communication and collaboration skills, and can work effectively on both research and engineering implementation at scale
Nice to have:
Strong research taste and intuition
The ability to work through a research project from conception to execution to write-up
Strong implementation and prototyping skillset
A researcher who can take an idea from conception to experimentation extremely quickly
The ability to work well and cooperate with others in a high-paced research setting
Curiosity, interest, and joy in understanding intelligence
We are excited and able to rapidly learn new fields and implement new ideas
What we offer:
Comprehensive medical, dental, vision, and FSA plans
Competitive compensation and 401(k)
Relocation and immigration support on a case-by-case basis
On-site meals prepared by a dedicated culinary team