Staff Applied Scientist
Tasks
- Analyze large scale datasets for neural training and symbolic extraction
- Collaborate with technical and non-technical stakeholders
- Deploy production grade language generation systems
- Design hybrid neurosymbolic architectures
- Develop proof-of-concept models
- Drive end to end applied research lifecycle
- Experiment with reasoning and planning approaches
- Identify opportunities in literature
- Lead applied research projects end to end
- Mentor and coach colleagues
- Write robust code integrating neural and symbolic components
Perks/Benefits
Skills/Tech-stack
Cloud Computing | Complex Planning | Deep learning | Explainable AI | Git | GitHub | Hugging Face | Hugging Face Transformers | JAX | Knowledge representation | Language Generation | Language Models | Large Language Models | Machine Learning | Neural Networks | Neurosymbolic AI | PyTorch | Python | Slack | Symbolic Reasoning | TensorFlow | Transformer Models | Zoom
Education
N/A
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