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Senior Software Engineer, Machine Learning

ThousandEyes

$186,200 - $203,100
Aug 15, 2025
San Francisco, CA, US
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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

  • 4+ 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 3/10/25.
  • We encourage you to apply even if you do not believe you meet every single qualification.
  • 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.