Senior Applied Scientist
Tasks
- Analyze large-scale datasets
- Build robust code for AI systems
- Collaborate with technical and non-technical stakeholders
- Deploy production language generation systems
- Design hybrid neurosymbolic architectures
- Develop proof of concept
- Experiment with reasoning and planning
- Identify literature opportunities
- Integrate neural and symbolic components
- Lead applied research end to end
- Train neural models and support symbolic extraction
Perks/Benefits
- Generous share options
- Home office flexibility
- Hybrid work schedule
- Mentoring and coaching
- Team days
Skills/Tech-stack
Black | Cloud Computing | Cloud deployment | Complex Planning | Deep learning | Explainable AI | Git | 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 | Symbolic Reasoning | TensorFlow | Transformers
Education
N/A
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