Machine Learning Researcher

Contribute to novel research by designing and building massive scale deep learning systems focusing on modularity, composability, verifiability, and continual learning. Responsibilities include pursuing novel research - building scalable, distributed models over uniquely decentralised and heterogeneous infrastructure. Partner with both researchers and production engineers to design and run novel experiments, taking research from theory all the way to production. Own and maintain experimental frameworks and test benchmarks for ML research in uniquely high-scale and decentralised settings. Follow best practices - build in the open with a keen focus on designing, testing, and documenting your code.

Must have strong background in applied machine learning / engineering, hands-on experience with distributed model training, comfortable working in an applied research environment with extremely high autonomy and unpredictable timelines, and be highly self-motivated with excellent verbal and written communication skills. Preferred items include experience building highly performant, distributed systems and a demonstrated background with novel research in machine learning.