Machine Learning Engineering Technical Leader (hybrid) - 2009800

Cisco UK

San Jose, CA, US
Base: $250,200.00 to $325,000.00 (u.s./canada); bo...
Hybrid
Machine learning model development
Neural network architectures
Model training and optimization
This role involves leading the design, development, and refinement of advanced machine learning models and architectures tailored for real-world applications within Cisco's Silicon One portfolio

Job Summary

  • This role involves leading the design, development, and refinement of advanced machine learning models and architectures tailored for real-world applications within Cisco's Silicon One portfolio.
  • The position offers a hybrid work model requiring some onsite presence in San Jose and emphasizes collaboration with cross-functional teams to drive innovation and continuous improvement in ML initiatives.
  • Cisco provides comprehensive benefits including medical, dental, vision insurance, 401(k) matching, paid time off, bonuses, and stock units, supporting employee well-being and growth.

Matching Summary

This role involves leading the design, development, and refinement of advanced machine learning models and architectures tailored for real-world applications within Cisco's Silicon One portfolio.

Salary

Base: $250,200.00 to $325,000.00 (U.S./Canada); Bonus/Equity: Incentive compensation and stock units available; Benefits: Medical, dental, vision, 401(k), paid time off, parental leave, disability coverage

Skills & Requirements

Must-have

  • Machine learning model development
  • Neural network architectures
  • Model training and optimization
  • End-to-end ML pipelines
  • Cross-functional collaboration
  • Scalable data processing systems
  • CI/CD for model deployment

Nice-to-have

  • Experience with deep learning
  • Familiarity with MLOps tools
  • Knowledge of big data technologies
  • Containerization and orchestration
  • Real-time inference systems
  • Software engineering best practices
  • Leadership in ML initiatives

Key Requirements

  • Bachelors + 12 years or Masters + 8 years or PhD + 5 years experience
  • Experience deploying ML models in production
  • Expertise in ML pipelines and large dataset analysis
  • Experience optimizing model performance and latency
  • Work authorization for location
  • Strong collaboration with product and engineering teams

Work Rights

Not specified

Tailored Resume

Cover Letter