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