The application window is expected to close on: April 14, 2025.
What You’ll DoAs 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, and agentic workflows.
- 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. or Ph.D. in Computer Science, Mathematics, or a related field.
- 5+ years of experience withNatural Language Processing
- 2+ years of experience implementing LLM technologies, systems, and applications
- Proficiency with deep learning frameworks (e.g., PyTorch, JAX, Keras, TensorFlow), ML ecosystems (e.g., Hugging Face) and production Python programming skills
Preferred Requirements- Proven experience deploying NLP/LLM solutions in production environments
- Strong judgment to assess practical value versus industry hype
- Demonstrated persistence in problem-solving complex challenges
- Deep intellectual curiosity in emerging AI technologies
- Engineering mentality at heart
- Research contributions in NLP (publications, patents, presentations) are a plus