Machine Learning Engineer - ThousandEyes

The application window is expected to close on: 04/30/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. 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 Engineer on the AI/ML team, you will be responsible for training and tuning the models and performing model evaluations using Deep Learning Machine Learning (AI/ML) Models, and Large Language Models. In this role, you will also be working on data collection design, data engineering, feature engineering, and eval frameworks. The size, diversity, and richness of our data are simply unmatched. The Internet is changing fast, and we are too. The objective of this initiative is to adopt a highly novel and ambitious approach for optimizing networks to better serve applications. What You’ll Do You will work with a team of AI engineers to design, implement, and maintain large-scale AI/ML pipelines, including tuning and evaluating LLMs. You will be building evaluation frameworks and metrics and evaluating Deep Learning and transformer-based models and LLMs. Qualifications 1+ years of software development experience in building and evaluating ML models and delivering large-scale ML products. BS, MS or PhD in a relevant field Proficient in crafting machine learning models, your expertise spans neural networks including transformer models, Large Language Models, decision trees, and other traditional machine learning models, translating conceptual ideas into actual solutions. Fluent in some of these machine learning frameworks such as SKLearn, XGBoost, PyTorch, or Tensorflow, and can leverage code as a strategic tool to shape innovative solutions You will be proficient in Python and will be able to transform abstract machine learning concepts into robust, efficient, and scalable solutions Why Cisco? At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $160,100.00 to $207,900.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location du ... (truncated, view full listing at source)