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# Machine Learning Engineer - CTO innovations

- **Company:** Cisco Systems, Inc.
- **Location:** San Jose, CA, United States
- **Salary:** $165,000.0 - $211,100.0
- **Contract:** Internship / Graduate position
- **Skills:** Clean Code Principles, Adobe InDesign, Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Software Code Optimization, Cyber Security, Computer Programming, Extract Transform Load (ETL), Data Structures, Distributed Data Store, Python (Programming Language), Network Security, Machine Learning, Neo4j, Network Administration, Object-Oriented Software Development, OpenCV, Tensorflow, Standard Sql, Software Engineering, SQL Databases, Chatbots, LangChain, ReactJS, Retrieval-Augmented Generation, Large Language Models, Snowflake, Prompt Engineering, Generative AI, Git, Pyspark, Infrastructure Automation Frameworks, Evaluation of Large Language Models, Data Pipelines
- **Published:** October 9, 2026
- **Apply:** https://www.sanjosejobsite.com/job.asp?id=3426223990&tx=JT9284TYZ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Meet one of the following(completed within the past 3 years or expected to be completed within the next 12 months):
 * A Master's degree with 0 years of work experience; or
 * A Bachelor's degree with 2 years of work experience; or
 * An educational or workforce development program (e.g., Associate's, Apprenticeship, Boot camp, or Certification) with 3 years of work experience; or
 * A High school diploma (or equivalent) with 4 years of work experience.
 * Strong programming skills in Python and SQL
 * Knowledge of data structures, algorithms, software engineering, and object-oriented design, * Hands-on experience through internships, academic projects, research, or professional work in one or more of:Generative AI, LLMs, RAG, or machine learningData engineering and ETL/ELT pipelinesModel deployment or inferenceCloud-based application developmentWorkflow automation or analytics
 * Familiarity with Git, APIs, testing, and software development practices
 * Strong analytical, communication, and problem-solving skills
 * Experience with tools such as LangChain, Neo4j, AWS, Snowflake, Airflow, PySpark, TensorFlow, OpenCV, or React
 * Exposure to networking or security data, including metrics, logs, events, alerts, topology, or time-series data
 * Familiarity with network management, security operations, observability, or infrastructure automation
 * Experience building dashboards, chatbots, search systems, or AI-assisted workflows
 * Familiarity with LLM evaluation, prompt engineering, model optimization, or local inference
 * Relevant certifications, publications, research, or substantial technical projects

## Description

As a Software Engineer, you will work with experienced engineers and researchers to develop production-ready AI applications for networking and security use cases. You will contribute to AI-powered data pipelines, LLM applications, operational analytics, and automation that improve visibility, anomaly detection, incident analysis, troubleshooting, and customer experiences.

What You'll Do

You will build scalable data pipelines and applied AI systems that transform complex networking and security telemetry into actionable operational intelligence.

 * Design ETL/ELT workflows in Python and SQL across cloud and distributed data platforms to process logs, alerts, graph structures, and semantic search datasets.
 * Build, evaluate, and monitor production LLM, RAG, and ML applications for automated troubleshooting, anomaly detection, and incident analysis.
 * Partner with senior engineers to write maintainable code, build user-facing insight dashboards, participate in design reviews, and support live production services.