Research Engineer - Agency and Reasoning

Bison

San Francisco (CA)

On-site

USD 150,000 - 210,000

Full time

14 days+

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Benefits offered by this job

Medical benefits
Dental benefits
Vision benefits
FSA plans
Relocation support
401(k) plan
In-office meals
Unlimited PTO
Team events in SF

Job summary

Zyphra, a San Francisco-based AI company, seeks a Research Engineer - Agency and Reasoning to join its core team. You will conduct novel research in reinforcement learning, post-training, and human preference learning, applying your ideas to next-generation language models at scale.

This role requires rapid experimentation, strong prototyping, and excellent collaboration, with impact across research and production-scale implementations.

Qualifications

  • Postgraduate degree in CS/EECS/Math/Physics or related field.
  • Strong research taste with ability to take ideas from concept to execution.
  • Excellent prototyping and implementation skills.
  • Ability to move quickly from idea to experimentation.

Responsibilities

  • Conduct novel reinforcement learning research and apply ideas at scale to language models.
  • Contribute to Zyphra's Agency and Reasoning Team across research and engineering work.

Skills

Reinforcement learning
Python
PyTorch
Research experience
Experimentation & prototyping
Communication & collaboration
Language model reasoning
Data engineering & synthetic data

Education

Postgraduate degree in CS/EECS/Math/Physics

Tools

Python
PyTorch

Job description

Zyphra is an artificial intelligence company based in San Francisco, California.
The Role:

As a Research Engineer - Agency and Reasoning, 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 / Requirements:
  • 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.

Qualifications / Additional Skills:
  • 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

Why Work at Zyphra:
  • Our research methodology is to make grounded, methodical steps toward ambitious goals. Both deep research and engineering excellence are equally valued

  • 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

Benefits and Perks:
  • Comprehensive medical, dental, vision, and FSA plans

  • Competitive compensation and 401(k) plan

  • Relocation and immigration support on a case-by-case basis

  • In-office snacks and meals provided

  • Unlimited PTO and company holidays

  • In-person team in San Francisco with a collaborative, high-energy environment

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