Staff Applied Scientist
Tasks
- Analyze large scale datasets for model training and extraction
- Collaborate with scientists and engineers
- Convert research to production grade language generation systems
- Design hybrid neurosymbolic architectures
- Drive end-to-end ML project lifecycle
- Lead applied research from ideation to deployment
- 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 | Hugging Face | Hugging Face Transformers | JAX | Knowledge representation | Language Generation | Language Models | Large Language Models | Machine Learning | Neural Networks | Neurosymbolic AI | PyTorch | Python | Symbolic Reasoning | TensorFlow | Transformer Models
Education
N/A
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