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.
What We’re Looking For: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.
Experience and aptitude with reinforcement learning, either in the context of language model reasoning or more classical RL tasks
Experience with language-model-supervised fine-tuning and preference-learning methods, such as DPO and simPO.
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
We are excited and able to rapidly learn new fields and implement new ideas
Excellent communication and collaboration skills, and can work effectively on both research and engineering implementation at scale
We strongly value new and crazy ideas and are very willing to bet big on new ideas
We move as quickly as we can; we aim to minimize the bar to impact as low as possible
We all enjoy what we do and love discussing AI
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; Thursday Happy Hours
In-person team in San Francisco, California with a collaborative, high-energy environment
Top Skills
Zyphra Palo Alto, California, USA Office
Palo Alto, California, United States, 94306
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

.png)