Machine Learning Engineer - Intelligent Agents & ...

Zyphra is an artificial intelligence company based in Palo Alto, CaliforniaThe 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 filesystemsBuilding search and retrieval pipelines across large-scale structured and unstructured dataIntegrating LLMs, vision models, reinforcement learning, and scaffolding frameworks for autonomous, multi-step decision-makingEngineering secure virtualized runtimes and backend services for agent executionWhat matters most is your drive to build production-grade ML systems that push the boundary of what software agents can doWe value velocity and curiosity, especially in fast-moving and ambiguous environmentsRequirements:Proficiency in Python and a deep understanding of building and debugging complex ML-driven applicationsExperience working with desktop operating systems (Windows and macOS), including APIs for screen reading, file interaction, and accessibility frameworksExperience 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 reasoningAbility to work across the full ML stack, from model integration to serving infrastructureExperience designing or working with secure and virtualized execution environmentsExcellent communication and collaboration skills across product, research, and engineering teamsBonus Qualifications:Experience building or integrating retrieval-augmented generation (RAG) systemsExperience working with enterprise security and compliance frameworks (e.g., SOC 2)Familiarity with vector databases and large-scale document indexingKnowledge of web automation tools and headless browser environments (e.g, Puppeteer, Playwright)Understanding of sandboxed or containerized compute environments with strict access controlsComfort 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 understandingBackground in HCI or interest in building intuitive agent interfaces that extend human capabilitiesWhy Work at Zyphra:Our research methodology is to make grounded, methodical steps toward ambitious goals. Both deep research and engineering excellence are equally valuedWe strongly value new and crazy ideas and are very willing to bet big on new ideasWe move as quickly as we can; we aim to minimize the bar to impact as low as possibleWe all enjoy what we do and love discussing AIBenefits and Perks:Comprehensive medical, dental, vision, and FSA plansCompetitive compensation and 401(k)Relocation and immigration support on a case-by-case basisOn-site meals prepared by a dedicated culinary team; Thursday Happy HoursIn-person team in Palo Alto, CA, with a collaborative, high-energy environment #J-18808-Ljbffr

Created: 2025-09-17