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← Zyphra

AI Engineer

Zyphra · San Francisco

CHECKED 6H AGO

Frontier labonsite
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At a glance

Highlights

  • Build a next-gen desktop and browser agent that autonomously completes tasks.
  • Work across browsers, operating systems and enterprise filesystems at scale.
  • Push the boundary of what production-grade software agents can do.

What they offer

  • 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

Ideal candidate

A fast-moving, curious builder driven to ship production-grade ML agents. Thrives in ambiguity, values bold ideas, and collaborates closely across product, research, and engineering.

Requirements

  • Proficiency in Python and a deep understanding of building and debugging complex ML-driven applications
  • Experience working with desktop operating systems (Windows and macOS), including APIs for screen reading, file interaction, and accessibility frameworks
  • Experience developing browser extensions or automation tools with fine-grained control over the browser (mouse, tabs, DOM)
  • Understanding of LLMs, prompting techniques, and orchestration frameworks for multi-step reasoning
  • Ability to work across the full ML stack, from model integration to serving infrastructure
  • Experience designing or working with secure and virtualized execution environments
  • Excellent communication and collaboration skills across product, research, and engineering teams
remote policy
In-person team in San Francisco
visa sponsorship
Immigration support 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 ↗