Senior Applied Scientist
Tasks
- Analyze large-scale datasets
- Build neurosymbolic AI frameworks
- Collaborate with technical and non-technical stakeholders
- Communicate research findings
- Deploy production systems
- Design hybrid neurosymbolic architectures
- Develop proof of concept
- Experiment with planning and reasoning
- Extract symbolic knowledge
- Identify literature opportunities
- Integrate neural and symbolic components
- Train and fine-tune transformer models
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 | Large Language Models | Machine Learning | Network Integration | Neural Network | Neural Networks | Neural network integration | Neurosymbolic AI | PyTorch | Pylint | Pytest | Python | Slack | Symbolic Reasoning | TensorFlow | Transformers | Zoom
Education
N/A
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