Lead Software Engineer II, Machine Learning

Job Description

Cisco ThousandEyes is seeking a Lead Software Engineer II, Machine Learning to join their Alerts team. This role is at the intersection of AI/ML technologies and real-time data processing, focusing on developing and optimizing anomaly detection algorithms for a highly scalable stream processing platform. The engineer will handle massive datasets and apply machine learning to provide actionable insights to customers.Role involves:

• Collaborating with a team of skilled engineers to design, implement, and maintain large-scale AI/ML pipelines for real-time anomaly detection.
• Training and tuning models and performing model evaluations using Deep Learning, Machine Learning (AI/ML) Models, and Large Language Models.
• Designing and implementing sophisticated anomaly detection algorithms, such as Isolation Forests, LSTM-based models, and Variational Autoencoders.
• Creating robust evaluation frameworks and metrics to assess the performance of algorithms.
• Implementing and optimizing stream processing solutions using technologies like Flink and Kafka.

Requirements:

• 8-10 years of software development experience, with direct experience in building and evaluating ML models and delivering large-scale ML products.
• MS or PhD in a relevant field.
• Proficiency in crafting machine learning models, including neural networks, transformer models, Large Language Models, decision trees, and other traditional machine learning models.
• Fluency in machine learning frameworks such as SKLearn, XGBoost, PyTorch, or Tensorflow.
• Proficiency in Python.
• Strong Computer Science fundamentals and object-oriented design skills.
• History of building large-scale data processing systems.
• Background working in a fast-paced development environment.
• Strong team collaboration and communication skills.

Role offers:

• Opportunity to work with unparalleled data diversity and scale.