Senior Applied Scientist
Tasks
- Analyze large-scale datasets
- Collaborate with scientists and engineers
- Communicate ideas to technical and non technical audiences
- Deploy production language generation systems
- Design hybrid neurosymbolic architectures
- Develop proof-of-concept systems
- Experiment with reasoning and planning methods
- Identify research opportunities in literature
- Integrate neural and symbolic components
- Lead applied research end to end
- Train neural models and extract symbolic knowledge
- Write robust production code
Perks/Benefits
- N/A
Skills/Tech-stack
Black | Cloud Computing | Complex Planning | Deep learning | Git | GitHub | Hugging Face | Hugging Face Transformers | JAX | Knowledge representation | Language Generation | Language Models | Large Language Models | Machine Learning | Machine Learning Fundamentals | Neurosymbolic AI | PyTorch | Pylint | Pytest | Python | Slack | TensorFlow | Transformer Models | Zoom
Education
N/A
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