Senior Machine Learning Engineer

Responsibilities

• Design and operate production ML systems for large-scale, streaming data
• Own system reliability, performance, and observability in production environments
• Improve the speed and reproducibility of model evaluation and iteration
• Collaborate with researchers to productionize models and integrate them into distributed systems
• Contribute to the evolution of existing ML systems and infrastructure to improve scalability, maintainability, and performance

Requirements

• 5+ years of experience with Python in production environments
• 5+ years of experience applying machine learning using libraries such as PyTorch, scikit-learn, pandas, etc.
• Experience building and operating distributed systems in production (e.g., Kubernetes, microservices, streaming systems)
• Experience improving systems for ML experimentation and evaluation
• Experience with big data or streaming technologies (e.g., Spark, Flink, or similar)
• Strong mathematical foundation (e.g., degree in Computer Science, Mathematics, Statistics, Physics, or related field)
• Ability to travel to Santa Barbara, CA, a few times per year

Preferred Qualifications

• Experience with JVM languages (Java, Scala, or Kotlin)
• Experience with Javascript/Typescript

Benefits

• Remote-First Work Culture
• Healthcare (Medical, Dental, Vision, Accident)
• Basic & Voluntary Life and AD&D
• Flexible Spending Account (FSA)
• 401(k) with Employer Match
• Paid Holidays & Flexible Paid Time Off (PTO)

About the Company

MixMode is a leading provider of AI-powered cybersecurity solutions at scale, pioneering a patented third-wave, context-aware AI approach that automatically learns and adapts to dynamic environments.