✨ About The Role
- The Senior Machine Learning Systems Engineer will be responsible for the end-to-end design and execution of ML-infrastructure modules.
- The role involves developing state-of-the-art ML training and inference frameworks and platforms.
- The engineer will build and optimize ML distributed systems to ensure low latency and high volume.
- The position requires leading processes to improve operational stability, including enhancing code quality and creating data visualizations.
- The engineer will partner with other engineers to implement technical designs that improve modeling velocity and infrastructure performance.
âš¡ Requirements
- The ideal candidate will have over 5 years of hands-on experience in infrastructure, particularly in scaling and optimizations.
- A strong background in machine learning operations at scale is essential, with at least 2 years of relevant experience.
- Proficiency in one or more general-purpose programming languages such as Go, Java, Scala, C++, or Python is required.
- The candidate should possess deep expertise in backend engineering, distributed systems, and databases.
- A collaborative mindset is crucial, as the role involves working closely with machine learning modeling teams and other engineers.