Senior Applied Scientist
Tasks
- Analyze large scale datasets for training
- Build production language generation systems
- Collaborate with scientists and engineers
- Communicate findings to technical and non-technical audiences
- Conduct applied research projects end to end
- Deploy transformer models
- Design hybrid neurosymbolic architectures
- Develop proof of concept
- Identify opportunities in literature
- Write robust code integrating neural and symbolic components
Perks/Benefits
Skills/Tech-stack
Black | Cloud Computing | Data Analysis | Deep learning | Git | GitHub | Hugging Face | Hugging Face Transformers | JAX | Knowledge representation | Language Generation | Language Models | Large Language Models | Machine Learning | Neural Networks | Neurosymbolic AI | PyTorch | Pylint | Pytest | Python | Symbolic Reasoning | TensorFlow | Transformers
Education
N/A
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