Senior Applied Scientist
Tasks
- Analyze large scale datasets for training
- Collaborate with technical and non-technical stakeholders
- Deploy production language generation systems
- Design hybrid neurosymbolic architectures
- Develop proof-of-concept models
- Experiment with reasoning and planning approaches
- Identify research opportunities from literature
- Integrate neural and symbolic components
- Lead end-to-end applied research projects
- Support neural training and symbolic extraction
- Write robust code for neural and symbolic integration
Perks/Benefits
Skills/Tech-stack
Black | Cloud Computing | Complex Planning | Data Analysis | Deep learning | Explainable AI | Git | GitHub | Hugging Face | Hugging Face Transformers | JAX | Knowledge representation | Language Generation | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Neural Networks | Neurosymbolic AI | PyTorch | Pylint | Pytest | Python | Slack | TensorFlow | Transformer Models | Zoom
Education
N/A
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