Senior Applied Scientist
Tasks
- Analyze large-scale datasets
- Build production language generation systems
- Collaborate with technical and non-technical stakeholders
- Communicate research findings clearly
- Conduct applied research end to end
- Deploy machine learning models to production
- Design hybrid neurosymbolic architectures
- Develop proof of concept
- Identify research opportunities in literature
- Integrate neural and symbolic components
- Train and fine-tune transformer models
Perks/Benefits
Skills/Tech-stack
Black | Cloud Computing | Complex reasoning | Data Analysis | Deep learning | Docker | Git | GitHub | Hugging Face | Hugging Face Transformers | Hybrid AI | JAX | Knowledge representation | Language Generation | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Neural Network | Neurosymbolic AI | Planning | PyTorch | Pylint | Pytest | Python | Slack | Symbolic Reasoning | TensorFlow | Transformer Models | Zoom
Education
N/A
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