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← Zyphra

Research Engineer - Agency and Reasoning

Zyphra · San Francisco

CHECKED 6H AGO

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At a glance

Highlights

  • Core contributor to Agency and Reasoning team building next-gen language models.
  • Perform novel research in RL, post-training and human preference learning.
  • Apply research ideas at scale to advance ambitious next-generation models.

What they offer

  • Comprehensive medical, dental, vision, and FSA plans
  • 401(k) plan
  • Unlimited PTO and company holidays
  • In-office snacks and meals provided
  • Relocation and immigration support on a case-by-case basis

Ideal candidate

Curious researcher who loves understanding intelligence and thrives in fast-paced collaboration, eager to take bold ideas from conception to large-scale experiment with grounded, methodical rigor.

Requirements

  • Strong research taste and intuition with ability to take research from conception to execution to write-up
  • Strong implementation and prototyping skillset, highly proficient with PyTorch and Python
  • Experience with reinforcement learning for language model reasoning or classical RL tasks
  • Experience with supervised fine-tuning and preference learning methods such as DPO and simPO
  • Experience with context-length extension methods
  • Ability to understand model behaviors and correct them through iterative fine-tuning and data engineering
  • Postgraduate degree in Computer Science, EE/EECS, Mathematics, Physics or related scientific field
  • Published machine learning research in well-respected venues
  • Excellent communication and collaboration skills in a high-paced research setting
remote policy
In-person
visa sponsorship
Immigration support available on a case-by-case basis

Lab profile

About Zyphra

San Francisco AI lab building open language and audio models and autonomous desktop agents.

What they build

  • Desktop and browser-based autonomous agents
  • Open language models
  • Open-source audio models (ASR, TTS, speech-to-speech)

Known for

  • Agentic systems and human-AI interaction
  • Reinforcement learning, post-training and preference learning
  • Large-scale language model pre-training
  • Novel model architectures and training methods

Key facts

  • Headquartered in San Francisco, California
More about Zyphra →
Apply on the lab’s site ↗