Machine Learning Engineering Technical Leader

Cisco

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
San Jose, CA
Salary
$256,900–$333,400 / yr
Employment
Full-time
Posted
5 days ago
Freshness
Confirmed live yesterday
Closes
Nov 27, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $227k
This role $295k
$166k $351k
below market most similar roles pay here above market

This role pays more than 93% of similar roles. Most pay $199,937–$254,750 — the blue band above. At the midpoint, this role pays about $295k versus about $227k for comparable roles.

Based on 240 similar postings.

Employer

About Cisco

Cisco Systems is the world''s leading networking technology company, designing and manufacturing networking hardware, telecommunications equipment, and cybersecurity solutions for businesses and governments. Industry: Networking Technology & Cybersecurity

Cisco currently has 300 open roles on FindRole.

Listed pay typically runs $167,700–$245,200 across 231 roles with salary data.

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View all roles at Cisco

At a glance

TL;DR · Machine Learning Engineering Technical Leader

The Machine Learning Engineering Technical Leader joins the Outshift team to help build the Internet of Cognition, a shared semantic layer for coordinated reasoning across distributed agents. As a senior individual contributor, you will transform concepts like shared context and intent into scalable, production-grade systems. You will drive technical decisions, develop hands-on solutions, and provide mentorship through strong engineering practices. Key responsibilities include building and owning production software and machine learning systems from development through deployment. You will utilize Python across the full technology stack, including high-level agent logic and underlying infrastructure. Required skills include experience with LLMs, agentic frameworks like LangChain, LangGraph, or AutoGen, and contributing to open-source codebases. Preferred expertise includes emerging agent protocols like MCP, A2A, or AGENTS.md, along with deep networking and security knowledge.

What you'll do

  • Transform concepts like shared context and coordinated reasoning into scalable, production-grade systems.
  • Build and own production software and machine learning systems from development through deployment.
  • Develop high-level agent logic and underlying systems and infrastructure using Python.
  • Implement LLMs and agentic frameworks such as LangChain, LangGraph, or AutoGen.
  • Contribute to open-source codebases and participate in peer code reviews to maintain engineering standards.
  • Drive technical decisions and develop hands-on solutions for the Internet of Cognition.
  • Provide technical leadership and mentorship to elevate the engineering team.

What we're looking for

  • Must have a Bachelor's degree plus 12 years of related experience, a Master's plus 8 years, or a PhD plus 5 years.
  • Must have 8+ years of experience building and owning production software and machine learning systems from development through deployment.
  • Must have experience with Python development across the full technology stack, from high-level agent logic to underlying systems and infrastructure.
  • Must have experience with LLMs and agentic frameworks such as LangChain, LangGraph, AutoGen, or similar.
  • Must have experience working within open-source codebases, contributing to development, and participating in peer code reviews.
  • Experience building with emerging agent protocols such as MCP, A2A, or AGENTS.md (preferred).
  • Contributions to influential open-source ecosystems, including Linux Foundation and CNCF projects (preferred).
  • Deep networking and security knowledge (preferred).

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