Machine Learning Engineer Job at Zyphra (Palo Alto)

Machine Learning Engineer

Zyphra

Location:
United States , Palo Alto

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

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.

Job Responsibility:

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

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

Nice to have:

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

What we offer:

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

Additional Information:

Job Posted:
January 13, 2026

Employment Type:

Fulltime

Work Type:

On-site work

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