Senior Applied Scientist
Tasks
- Analyze large scale datasets for training
- Build production grade language generation systems
- Collaborate with scientists and engineers
- Deploy transformer models
- Design hybrid neurosymbolic architectures
- Develop proof-of-concept models
- Experiment with reasoning and planning methods
- Identify research opportunities in literature
- Lead applied research projects end to end
- Perform neural training and symbolic extraction
- Write robust code integrating neural and symbolic components
Perks/Benefits
Skills/Tech-stack
Black | Cloud Computing | Complex Planning | Deep learning | Git | GitHub | Hugging Face | Hugging Face Transformers | JAX | Knowledge representation | Language Generation | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Neural Networks | Neurosymbolic AI | PyTorch | Pylint | Pytest | Python | Slack | TensorFlow | Transformers | Zoom
Education
N/A
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