Senior Applied Scientist, Neuro-Symbolic AI Labs
Core
Building super-intelligent AI systems using proof assistants to guide learning and reasoning, applied across science and engineering domains.
Role type
Senior Applied Scientist (Neuro-Symbolic AI)
Builds
Scalable neuro-symbolic applications and high-quality scientific artifacts
Domain
Artificial Intelligence, Neuro-Symbolic AI, Machine Learning
Deliverable
production ML models
Required skills
Machine learning model development, Neural deep learning methods, Java, C++, Python
Preferred skills
R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, large scale distributed systems (Hadoop, Spark)
Responsibilities
Define and implement new neuro-symbolic applications, work in an agile startup-like development environment, deliver high-quality scientific artifacts
Seniority
Senior, hands-on IC
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