Cisco Technical Leader Machine Learning Engineer 

United States, California, San Francisco 

274928670

The application window is expected to close on March 15, 2025

Job posting may be removed earlier if the position is filled or if a sufficient number of applicants are received.

Your Impact

As a
Technical Leader, you will drive end-to-end ML solutions, designing and deploying transformer-based models, building data pipelines, optimizing ML infrastructure, and developing AI-powered systems that solve real-life industry challenges. You will work across modeling, infra, ML ops, and system development, collaborating with engineers, researchers, and customers to shape the future of AI.

• Lead the design and deployment of end-to-end ML solutions for real-world applications
• Develop and fine-tune transformer-based models for diverse AI challenges
• Work across modeling, ML infrastructure, system development, and deployment
• Collaborate with customers and internal teams to align AI solutions with business needs
• Ensure AI models are scalable, robust, and production-ready
• Provide technical mentorship and lead initiatives within the ML team
• Research and apply cutting-edge ML techniques to optimize AI-driven products

Minimum Qualifications

• Bachelors degree with 7+ years (or) Masters degree with 5+ years (or) PhD degree with 2+ year of software development industry experience
• 3+ years of industry experience in building ML Systems end-to-end (data processing, model training, deployment)
• Experience in Python or Go and ML frameworks (PyTorch, TensorFlow)

Preferred Qualifications

• Experience working with real-world AI problems, especially in customer-facing applications
• Strong understanding of ML fundamentals, classic ML algorithms, modern transformer-based models and deep learning architectures
• Knowledge of LangChain, LlamaIndex, and Hugging Face models
• Background in AI security, risk detection, or fraud detection (a plus, but not required)
• Research experience or contributions to open-source ML projects
• Self-starter with a strong problem-solving skills and ability to work independently

technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best.