Chief Machine Learning Engineer - Cisco ThousandEyes (AppliedML / Model Tuning)

Application Deadline Extended : Dec 20th 5 PM ET

The following information aims to provide potential candidates with a better understanding of the requirements for this role.

Who We Are

Cisco 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.

ThousandEyes is deeply integrated across the entire Cisco technology portfolio and beyond, helping customers deploy at scale while also delivering AI-powered assurance insights within Cisco’s leading Networking, Security, Collaboration, and Observability portfolios.

About The Role

As an AI leader / architect, you will be guiding the ThousandEyes engineering business and senior management on a number of technical issues related to our AI / ML roadmap. You will lead industry boards and / or 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 Do

You 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 be responsible for influencing and guiding 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, in 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 an equivalent direct industry experience in building and evaluating ML models and delivering large-scale ML products.

Preferred Qualifications

Why Cisco

The Internet of Everything is a phenomenon driving new opportunities for Cisco and it's redefining our customers' businesses worldwide. We are pioneers and have been since the early days of connectivity. Today, we are building teams that are expanding our technology solutions in the mobile, cloud, security, IT, including software and consulting services.

We offer extensive employee benefits including 20 days of PTO, 10 paid volunteering days, paid birthday off, 401k match with NO vesting, generous health / dental / vision benefits and much more.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

wearecisco

Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.

Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

J-18808-Ljbffr