Staff Applied Scientist
Tasks
- Analyze large scale datasets for training and extraction
- Build production grade language generation systems
- Design hybrid neurosymbolic architectures
- Develop proof-of-concept systems
- Experiment with reasoning and planning models
- Identify research opportunities in literature
- Integrate neural and symbolic modules
- Lead applied research projects end to end
- Mentor and coach colleagues
- Prototype and deploy machine learning systems
- Write robust code for neural and symbolic components
Perks/Benefits
Skills/Tech-stack
Black | Cloud Computing | Complex Planning | Data Analysis | Deep learning | Git | GitHub | Hugging Face | Hugging Face Transformers | JAX | Knowledge representation | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Neurosymbolic AI | PyTorch | Pylint | Pytest | Python | Reasoning | TensorFlow | Transformer Models
Education
N/A
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