About the job
As a Training: ML Framework Engineer, you will work on improving the training throughput for our internal training framework, while enabling researchers to experiment with new ideas. This requires good engineering (for example designing, implementing, and optimizing state-of-the-art AI models), writing bug-free machine learning code (surprisingly difficult!), and acquiring deep knowledge of the performance of supercomputers. In all the projects this role pursues, the ultimate goal is to push the field forward.
Responsibilities
Apply the latest techniques in our internal training framework to achieve impressive hardware efficiency for our training runs
Profile and optimize our training framework
Work with researchers to enable them to develop the next generation of models
Qualifications
Minimum
Have run small scale ML experiments
Love figuring out how systems work and continuously come up with ideas for how to make them faster while minimizing complexity and maintenance burden
Have strong software engineering skills and are proficient in Python
Preferred
Have run small scale ML experiments
Love figuring out how systems work and continuously come up with ideas for how to make them faster while minimizing complexity and maintenance burden
Have strong software engineering skills and are proficient in Python