below marketmost similar roles pay hereabove market
This role pays less than
78%
of similar roles. Most pay
$192,050–$249,000
— the blue band above.
At the midpoint, this role pays about
$188k
versus about
$221k
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
267 open roles
on FindRole.
Listed pay typically runs
$167,700–$245,000
across 201 roles with salary data.
The Machine Learning Engineer - CTO innovations joins the Cisco CTO Organization to build next-generation AI applications for networking and security. Working with experienced engineers and researchers, you will develop production-ready AI systems, including LLM applications, RAG, and operational analytics. Your daily responsibilities involve building scalable data pipelines, designing ETL/ELT workflows, and creating user-facing insight dashboards to improve anomaly detection and incident analysis. You will utilize Python, SQL, and data structures to process logs, graph structures, and semantic search datasets. The role requires technical proficiency with tools such as LangChain, Neo4j, AWS, Snowflake, Airflow, PySpark, TensorFlow, and React. You will solve complex problems by transforming networking and security telemetry into actionable operational intelligence, focusing on automated troubleshooting and infrastructure automation.
What does a Machine Learning Engineer earn in California?
Median $231150 from 191 postings across 27 companies.
Build scalable data pipelines and applied AI systems to transform networking and security telemetry into operational intelligence.
Design ETL/ELT workflows using Python and SQL across cloud and distributed data platforms.
Build, evaluate, and monitor production LLM, RAG, and ML applications for automated troubleshooting and anomaly detection.
Process logs, alerts, graph structures, and semantic search datasets to improve visibility and incident analysis.
Write maintainable code and build user-facing insight dashboards for operational analytics.
Participate in design reviews and support live production services for AI-powered networking products.
What we're looking for
Meet one of the following: Master's degree with 0 years experience, Bachelor's with 2 years, certification/bootcamp with 3 years, or high school diploma with 4 years.
Demonstrate strong programming skills in Python and SQL.
Possess knowledge of data structures, algorithms, software engineering, and object-oriented design.
Experience in Generative AI, LLMs, RAG, or machine learning (preferred).
Experience in data engineering and ETL/ELT pipelines (preferred).
Experience in model deployment, inference, or cloud-based application development (preferred).
Familiarity with Git, APIs, testing, and software development practices (preferred).
Experience with tools such as LangChain, Neo4j, AWS, Snowflake, Airflow, PySpark, TensorFlow, OpenCV, or React (preferred).
Python
C++
PyTorch
CUDA
GPU Kernel Optimization
Distributed Training
Data Pipelines
Inference Serving
Computer Architecture
Model Deployment
Data Ingestion
Profiling
Debugging
Claude
Machine Learning
Artificial Intelligence
Data Engineering
Big Data Analytics
Cloud Computing
ETL
Data Modeling
Data Orchestration
Software Development Life Cycle
Data Architecture
Parallel Processing