Machine Learning Engineer - Intelligent Agents & SystemsZyphra • Palo Alto, CA, United States
Machine Learning Engineer - Intelligent Agents & Systems
Zyphra • Palo Alto, CA, United States
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job_description.job_card.job_descriptionProficiency 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 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 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 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
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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 :
Bonus Qualifications :
Why Work at Zyphra :
Benefits and Perks :
Seniority level
Seniority level
Entry level
Employment type
Employment type
Full-time
Job function
Job function
Engineering and Information Technology
Industries
Technology, Information and Internet
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