Senior Research Engineer
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 BringPast experience in creating high-performance implementations of deep learning algorithmsHave experience working in large distributed systemsProvide technical perspective to develop ML best practices and influence engineering culture in the teamHave in depth knowledge of how the machine learning system interacts with systems around itEvaluate the tradeoffs of different ML models/systems and deploy best ML practicesExperience with Data/Feature Engineering, Training, Evaluation and Deployment of ML modelsWhat You’ll DoHave run at least small-scale ML experimentsLove figuring out how systems work and continuously come up with ideas for how to make them faster while minimizing complexity and maintenance burdenHave strong software engineering skills and are proficient in PythonComfortable working with researchers to enable them to develop the next generation of models
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