Applied Scientist - LLM, Alexa Conversational Modelling Intelligence
Tasks
- Apply reinforcement learning from human feedback
- Build evaluation frameworks and benchmarks
- Collaborate with scientists and engineers to deploy at scale
- Conduct defect analysis for failure modes
- Develop LLM as a judge pipelines
- Develop training recipes for supervised fine tuning
- Drive model post training for large language models
- Implement preference optimization
- Launch and monitor training runs
- Own model development lifecycle from data curation to deployment
- Translate insights into model quality and efficiency improvements
- Write clean reproducible code and contribute to shared tooling
Perks/Benefits
- N/A
Skills/Tech-stack
Benchmarks | C# | Data Processing | Defect Analysis | Distributed Training | Experiment design | Fine Tuning | Human Feedback | Java | JavaScript | LLM Evaluation | LLM-as-a-Judge | Language Models | Large Language Models | Learning from Human Feedback | Machine Learning | Model Serving | Preference optimization | Python | Reinforcement Learning | Reinforcement Learning from Human Feedback | Statistical Analysis | Supervised Fine Tuning
Education
Roles
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