Lead Applied Scientist
Tasks
- Apply machine learning statistics and LLM techniques
- Communicate technical assumptions trade offs and recommendations
- Design experiments benchmarks and reliability tests
- Prototype AI and ML methods to improve human data quality
- Translate scientific methods into scalable platform capabilities
Perks/Benefits
Skills/Tech-stack
Benchmarking | Data Annotation | Data Generation | Experiment design | Human Feedback | Information Retrieval | Language Models | Language Processing | Large Language Models | Learning from Human Feedback | Machine Learning | Natural Language | Natural Language Processing | Python | Reinforcement Learning | Reinforcement Learning from Human Feedback | Retrieval-Augmented Generation | Statistics | Synthetic Data Generation | Synthetic data
Education
Roles
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