As a Machine Learning Systems Engineer, you play a critical role in shaping the future of AI. You will work closely with our research team to design and implement cutting-edge systems for AI research.
Our ideal candidate has experience building and maintaining data pipelines and ETL systems at scale, as well as knowledge of systems level programming and performance optimization.
Proficiency in software engineering is required, and familiarity with training and inference workflows is an added value.
* Design and implement high-performance data pipelines that support innovative machine learning efforts.
* Collaborate with researchers to translate their requirements into scalable, production-grade systems.
* Optimize resource utilization across our distributed computing infrastructure.
At our firm, innovation is at the core of everything we do. We build most of our systems from the ground up, using best practices in data management and processing.
As a Machine Learning Systems Engineer, you will be part of a team that translates business needs into technical solutions.