Senior Applied Scientist
Tasks
- Analyze large-scale datasets
- Build and optimize language generation systems
- Collaborate with stakeholders and communicate results
- Deploy production machine learning systems
- Design hybrid neurosymbolic architectures
- Develop proof of concept
- Experiment with reasoning and planning models
- Identify literature opportunities
- Integrate neural and symbolic components
- Lead applied research end to end
- Prototype and deploy transformer models
- Train neural models and perform symbolic extraction
Perks/Benefits
Skills/Tech-stack
Black | Cloud Computing | Complex Planning | Data Analysis | Dataset Processing | Deep learning | Explainable AI | GitHub | Hugging Face | Hugging Face Transformers | JAX | Knowledge representation | Language Generation | Language Models | Large Language Models | Machine Learning | Neural Networks | Neural-symbolic integration | Neurosymbolic AI | PyTorch | Pylint | Pytest | Python | Reasoning | Symbolic Extraction | Symbolic Reasoning | TensorFlow | Transformers | Version control
Education
N/A
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