Cisco ThousandEyes is looking to optimize networks to better serve applications by adopting a novel and ambitious approach using AI/ML models and Large Language Models.
Requirements
1+ years of software development experience in building and evaluating ML models and delivering large-scale ML products
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
Responsibilities
training and tuning the models and performing model evaluations using Deep Learning Machine Learning (AI/ML) Models, and Large Language Models
working on data collection design, data engineering, feature engineering, and eval frameworks
design, implement, and maintain large-scale AI/ML pipelines, including tuning and evaluating LLMs
building evaluation frameworks and metrics
evaluating Deep Learning and transformer-based models and LLMs
Other
The Application Window is expected to close on 8/16/25.
MS or PhD in a relevant field
Cisco values the perspectives and skills that emerge from employees with diverse backgrounds.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification.