Research Scientist, Machine Learning
Tasks
- Analyze experimental results and identify failure modes
- Contribute to open source releases and research documentation
- Design and execute machine learning research experiments
- Develop and optimize ML models and algorithms
- Implement research code with ML frameworks
- Instrument experiments with logging monitoring and evaluation pipelines
- Iterate on hypotheses with research and engineering partners
- Perform code reviews for research code quality
- Prepare and submit research findings to peer reviewed venues
- Translate research into production-ready solutions
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | Data pipeline | Deep learning | Distributed Training | Evaluation | Fine Tuning | Human Feedback | JAX | LLM Fine-tuning | Language Models | Large Language Models | Lean | Learning from Human Feedback | Logging | Machine Learning | Mixed Precision | Mixed-precision training | Model Parallelism | Monitoring | Policy Optimization | PyTorch | Reinforcement Learning | Reinforcement Learning from Human Feedback | Reproducibility
Education
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