Staff Applied Scientist
Tasks
- Analyze large-scale datasets
- Deploy production language generation systems
- Design hybrid neurosymbolic architectures
- Develop proof of concept
- Experiment with neural and symbolic reasoning
- Identify literature based opportunities
- Integrate neural and symbolic components
- Lead applied research end to end
- Mentor and coach colleagues
- Train and extract knowledge from data
- Write robust production code
Perks/Benefits
Skills/Tech-stack
Black | Cloud Computing | Complex Planning | Deep learning | Explainable AI | Git | GitHub | Hugging Face | Hugging Face Transformers | JAX | Knowledge representation | Language Generation | Language Models | Large Language Models | Machine Learning | Neurosymbolic AI | PyTorch | Pylint | Pytest | Python | Slack | TensorFlow | Transformers | Zoom
Education
N/A
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