Machine Learning Engineer - CTO innovations
About The Position
The Cisco CTO Organization is building the next generation of AI applications for networking and security. Our teams combine machine learning, generative AI, data engineering, cloud technologies, and domain expertise to build intelligent capabilities for Cisco’s networking and security products. 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.
Requirements
- Master's degree with 0 years of work experience; or 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 High school diploma (or equivalent) with 4 years of work experience (completed within the past 3 years or expected to be completed within the next 12 months).
- Strong programming skills in Python and SQL
- Knowledge of data structures, algorithms, software engineering, and object-oriented design
Nice To Haves
- Hands-on experience through internships, academic projects, research, or professional work in one or more of: Generative AI, LLMs, RAG, or machine learning
- Data engineering and ETL/ELT pipelines
- Model deployment or inference
- Cloud-based application development
- Workflow 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
Responsibilities
- 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.
Benefits
- medical, dental and vision insurance
- a 401(k) plan with a Cisco matching contribution
- paid parental leave
- short and long-term disability coverage
- basic life insurance
- grants of Cisco restricted stock units
- 10 paid holidays per full calendar year
- 1 floating holiday for non-exempt employees
- 1 paid day off for employee’s birthday
- paid year-end holiday shutdown
- 4 paid days off for personal wellness
- 16 days of paid vacation time per full calendar year (non-exempt employees)
- flexible vacation time off program (exempt employees)
- 80 hours of sick time off provided on hire date and each January 1st thereafter
- up to 80 hours of unused sick time carried forward
- Optional 10 paid days per full calendar year to volunteer
- annual bonuses (for non-sales roles)
- performance-based incentive pay (for sales roles)
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
