Senior Software Engineer I, Machine Learning

Job Description

• Designing, implementing, and maintaining large-scale AI/ML pipelines for real-time anomaly detection.
• Training and tuning models, 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 algorithm performance.
• Implementing and optimizing stream processing solutions using technologies like Flink and Kafka.

• 3-5 years of software development experience and a minimum of 2 internships 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.

• Opportunity to work with unparalleled data diversity and scale.
• Chance to push the boundaries of what's possible in real-time anomaly detection.
• Access to quality medical, dental and vision insurance.
• A 401(k) plan with a Cisco matching contribution.
• Short and long-term disability coverage.
• Basic life insurance and numerous wellbeing offerings.