Cisco Senior Machine Learning Engineer NLP 

United States, Georgia, Atlanta 

161030946

The application window is expected to close on: June 22, 2025.

What You’ll Do

As a Senior Machine Learning Engineer on the Collaboration AI team, you will innovate NLP/LLM solutions for Webex products.

You are expected to be a main contributor in our AI technology space and bridge the gap between the fast evolving open-source AI landscape and the Webex user experience. You'll drive technological advancement while bridging cutting-edge AI developments with practical user experiences. Your responsibility will include, but not limited to, the following:

• Explore and implement next-gen LLM technologies, focusing on retrieval-augmented generation (RAG), AI agents, reasoning models, reinforcement learning for LLMs, and more.
• Fast prototype innovative concepts and create viable paths to production.
• Conduct applied ML research and follow the systematic methodology: Establish benchmarking methods, evaluate against baselines, perform ablation studies, and deliver actionable recommendations.
• Balance technical trade-offs to determine optimal production solutions
• Collaborate with system engineers, product managers, and client teams to drive productization
• Level up the team's AI/ML savviness as an AI knowledge catalyst.

Minimum Requirements

• M.S. in Computer Science, Mathematics, or STEM.
• 3+ years of experience with Natural Language Processing
• 2+ years of experience implementing LLM technologies, systems, and applications
• Experience with deep learning frameworks (e.g., PyTorch, JAX, Keras, TensorFlow), ML ecosystems (e.g., Hugging Face) and production Python programming skills
• Experience with Research in NLP domain

Preferred Requirements

• Ph.D. in Computer Science, Mathematics, or a related field.
• 5+ years of experience with Natural Language Processing
• 3+ years of experience implementing LLM technologies, systems, and applications
• Proven track record of developing novel NLP/LLM algorithms that solve real-world challenges with measurable results
• Experience in reasoning models and reinforcement learning for LLMs is a plus.
• Demonstrated intellectual curiosity with a consistent pattern of surveying, experimenting with, and incorporating emerging AI research and technologies into practical solutions
• Strong judgment to assess practical value versus industry hype
• Demonstrated persistence in problem-solving complex challenges
• Engineering mentality at heart
• Research contributions in NLP (publications, patents, presentations) are a plus