Machine Learning Engineer - Intelligent Agents & Systems

Zyphra 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-generation 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 language / 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 generation (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