Analog
As a Sr. Research Engineer, you will be responsible for building AI systems that can perform previously improbable tasks or achieve unprecedented levels of performance. We're looking for people with solid engineering skills (for example designing, implementing, and improving a massive-scale distributed machine learning system), writing bug-free machine learning code, and building the science behind the algorithms employed. The most outstanding deep learning results are increasingly attained at a massive scale, and these results require engineers who are comfortable working in large distributed systems.
What you’ll bring
Past experience in creating high-performance implementations of deep learning algorithms
Have experience working in large distributed systems
Provide technical perspective to develop ML best practices and influence engineering culture in the team
Have in depth knowledge of how the machine learning system interacts with systems around it
Evaluate the tradeoffs of different ML models/systems and deploy best ML practices
Experience with Data/Feature Engineering, Training, Evaluation and Deployment of ML models
What you’ll do
Have run at least 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
Comfortable working with researchers to enable them to develop the next generation of models
