As a Machine Learning Engineer, you will be a core contributor to Zyphra's Agentic Systems and Interaction projects, building a next-generation desktop and browser-based agent that can autonomously navigate the web, interact with filesystems, and complete complex user tasks.
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
Benefits
- 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