Staff Applied Scientist
Tasks
- Analyze large-scale datasets
- Collaborate with technical and non-technical stakeholders
- Deploy production grade language generation systems
- Design neurosymbolic hybrid architectures
- Develop proof-of-concept systems
- Identify machine learning opportunities from literature
- Integrate neural and symbolic components
- Lead end to end applied research
- Mentor and coach colleagues
- Support neural training and symbolic extraction
- Train and fine-tune transformer models
Perks/Benefits
Skills/Tech-stack
Cloud Computing | Complex Planning | Data Analysis | Deep learning | Explainable AI | Hugging Face | Hugging Face Transformers | Hybrid architectures | JAX | Knowledge representation | Language Generation | Language Models | Large Language Models | Machine Learning | Neurosymbolic AI | PyTorch | Python | Symbolic Reasoning | TensorFlow | Transformer Models
Education
N/A
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