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Machine Learning Engineer - Intelligent Agents & Systems

Job DescriptionJob DescriptionZyphra is an artificial intelligence company based in Palo Alto, California

The Role:

As a Machine Learning Engineer, you will be a core contributor to Zyphra’s Agentic Systems and Interaction projects. You will be at the forefront of building a next- desktop and browser-based agent that can autonomously navigate the web, interact with filesystems, and complete complex user tasks. This role spans frontend interfaces, secure sandboxing environments, large-scale document search and retrieval, and /vision model integration.

You’ll work across:

  • Design and implementation of an agentic system capable of interacting with browsers, operating systems, and enterprise filesystems

  • Building search and retrieval pipelines across large-scale structured and unstructured data

  • Integrating LLMs, vision models, reinforcement learning, and scaffolding frameworks for autonomous, multi-step decision-making

  • Engineering secure virtualized runtimes and backend services for agent execution

  • What matters most is your drive to build production-grade ML systems that push the boundary of what software agents can do

  • We value velocity and curiosity, especially in fast-moving and ambiguous environments

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

Bonus Qualifications:

  • Experience building or integrating retrieval-augmented (RAG) systems

  • Experience working with enterprise security and compliance frameworks (e.g., SOC 2)

  • Familiarity with vector databases and large-scale document indexing

  • Knowledge of web automation tools and headless browser environments (e.g, Puppeteer, Playwright)

  • Understanding of sandboxed or containerized compute environments with strict access controls

  • Comfort designing user-facing agentic workflows and reasoning systems that span multiple modalities (text, vision, actions)

  • Experience using and fine-tuning models for screen reading, OCR, or UI understanding

  • Background in HCI or interest in building intuitive agent interfaces that extend human capabilities

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)

  • 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 Palo Alto, CA, with a collaborative, high-energy environment

Machine Learning Engineer - Intelligent Agents & Systems

Palo Alto, CA
Full time

Published on 07/06/2025

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