Senior Applied Scientist
Tasks
- Analyze large-scale datasets
- Build production language generation systems
- Collaborate with technical and non-technical stakeholders
- Communicate research results
- Conduct applied research end to end
- Deploy transformer models
- Design hybrid neurosymbolic architectures
- Develop proof of concept
- Identify research opportunities
- Integrate neural and symbolic components
- Train neural models
- Write robust production code
Perks/Benefits
Skills/Tech-stack
Cloud Computing | Deep learning | Git | GitHub | Hugging Face | Hugging Face Transformers | JAX | Knowledge representation | Language Generation | Language Models | Large Language Models | Machine Learning | Natural Language | Natural Language Generation | Neurosymbolic AI | PyTorch | Python | TensorFlow | Transformers
Education
N/A
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