Senior Applied Scientist
Tasks
- Analyze large-scale datasets
- Build neurosymbolic AI frameworks
- Deploy transformer models
- Design hybrid neurosymbolic architectures
- Develop explainable reasoning and planning systems
- Develop proof of concept to production systems
- Identify research opportunities in literature
- Integrate neural and symbolic components
- Train and fine tune language generation models
- Write technical communication for technical and non technical audiences
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 | Planning | PyTorch | Pylint | Pytest | Python | Reasoning systems | Symbolic Reasoning | TensorFlow | Transformers
Education
N/A
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