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Chief AI/ML Engineer - Cisco ThousandEyes (AppliedML) - San Francisco California
Company: Cisco Systems, Inc. Location: San Francisco, California
Posted On: 01/30/2025
Location:Seattle, Washington, US or Austin, Texas, USCompensation Range:322500 USD - 410000 USDJob Type:ProfessionalJob Id:1431962Application Deadline: Extended to Dec 20th 5 PM ETWho We AreCisco ThousandEyes is a Digital Experience Assurance platform that empowers organizations to deliver flawless digital experiences across every network - even the ones they don't own. Powered by AI and an unmatched set of cloud, internet and enterprise network telemetry data, ThousandEyes enables IT teams to proactively detect, diagnose, and remediate issues - before they impact end-user experiences.About The RoleAs an AI leader / architect, you will guide the ThousandEyes engineering business and senior management on technical issues related to our AI/ML roadmap. You will lead industry boards and councils as a sought-out expert who influences, develops, and defines next-generation technologies with favorable business impact for Cisco's broad product portfolio. This role will lead the team that drives an effective engineering ecosystem strategy for Cisco across multiple strategic domains including standards, open-source, research, and intellectual property from an AI standpoint.What You'll DoYou will guide and influence a team of AI engineers in designing, implementing, and maintaining large-scale AI/ML pipelines including tuning and evaluating LLMs. You will lead the team in building evaluation frameworks and metrics while evaluating traditional and transformer-based models and LLMs. You will also influence and guide data collection design, data engineering, and feature engineering.Minimum Qualifications - Proven experience using AI/ML technologies to influence product direction, user experiences, and ML/LLM lifecycle infrastructures.
- Demonstrable experience with the entire lifecycle of machine learning, from conceptualization and development to deployment and continual refinement.
- Proficient in Python, transforming abstract ML concepts into robust, efficient, and scalable solutions.
- Fluent in machine learning frameworks such as SKLearn, XGBoost, PyTorch, or Tensorflow.
- Bachelor's +17 years or Master's +14 years or PhD +10 years or equivalent direct industry experience in building and evaluating ML models and delivering large-scale ML products.Preferred Qualifications
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