Senior Machine Learning Engineer

Posted 3mo ago

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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

Ability to travel to our office in Santa Barbara, CA, a few times per year
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)

Skills