Cisco
Machine Learning Engineering Technical Leader
$234K–$384K
San Jose, California, US +1 · Hybrid · Full-time · Posted Oct 30, 2026
- Location
- San Jose, California, US
Remote - California, USA - Experience
- Bachelors +12 years of related experience, or Masters +8 years, or PhD +5 years; also requires 8+ years building and owning production software and machine learning systems.
- Education
- Bachelor’s, Master’s, or PhD, with the stated experience alternatives.
About the job
Build production-grade machine learning and agent systems for the Internet of Cognition, providing hands-on technical leadership and mentorship as a senior individual contributor.
What you'll do
- Develop and operate scalable systems for shared context, intent, and coordinated reasoning across distributed agents.
- Make technical decisions and build solutions across the stack, from agent logic to systems and infrastructure.
- Contribute to open-source codebases, participate in peer reviews, and mentor engineers through strong engineering practices.
What they ask for
- 8+ years building and owning production software and machine learning systems through deployment and ongoing support.
- Experience with Python across the full technology stack.
- Experience with LLMs and agentic frameworks such as LangChain/LangGraph or AutoGen.
- Experience contributing to open-source codebases and participating in peer code reviews.
Nice to have
- Experience with agent protocols such as MCP, A2A, or AGENTS.md.
- Contributions to Linux Foundation or CNCF projects; deep networking and security knowledge.
Pay
$256,900.00 to $333,400.00 USD base salary; $256,900.00 - $383,500.00 USD base salary; $234,400.00 - $341,100.00 USD base salary
Tools
Python, LLMs, LangChain/LangGraph, AutoGen, MCP, A2A, AGENTS.md
AI focus
Build agentic AI systems and a shared semantic layer that enables agents and humans to reason together.
Model-written summary · the original posting is authoritative