Machine Learning Engineer

Cisco
San Jose, CA
Job Description
Role Overview

Join Cisco’s Customer Experience (CX) AI Incubation team to design and develop innovative AI-driven solutions that transform customer engagement and operational efficiency. You will work on cutting-edge use cases including delivery intelligence, knowledge management, network test automation, infrastructure testing, intelligence on edge, and DevOps automation.

What You Will Do

Contribute to the design and development of AI–ML based services, analyze data, develop, validate, and deploy machine learning models, build and fine-tune model architectures, support the training and fine-tuning of Large and Small Language Models, and collaborate on the development and deployment of AI agents and applications.

Why It Might Be a Fit

This role requires strong expertise in AI/ML, software development, and a passion for applying AI to real-world challenges. You will work with passionate experts to build scalable, responsible, and cutting-edge AI models, leveraging the latest advances in generative AI, various post training techniques, and more.

Requirements

  • Bachelor’s degree in computer science, Machine Learning, Mathematics, Statistics, or related field with 6+ years of software engineering experience, or Master’s degree in a related field with 3+ years of experience
  • Experience in Python, Java or C++, with experience in model development, training, and deployment
  • Experience building enterprise grade AI Agents and Agentic workflows
  • Experience with leading machine learning frameworks such as TensorFlow, PyTorch, Scikit-Learn along with data manipulation tools essential for the AI lifecycle
  • Experience developing Large Language Models (LLMs), Natural Language Processing (NLP), or Generative AI techniques
  • Experience working in cross-functional teams, deliver results in fast-paced environments, and effectively communicate technical concepts

Benefits

  • Medical, dental and vision insurance
  • 401(k) plan with a Cisco matching contribution
  • Paid parental leave
  • Short and long-term disability coverage
  • Basic life insurance
  • Paid time away (vacation, sick time, etc.)
  • Flexible vacation time off program
  • Optional 10 paid days per full calendar year to volunteer
  • Annual bonuses
  • Performance-based incentive pay on top of base salary
  • Paid holidays (10 per full calendar year)
  • Paid birthday off
  • Paid year-end holiday shutdown
  • Paid days off for personal wellness
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