AI Research Engineer (Agentic Post-training)
Tasks
- Build and optimize post-training pipelines
- Collaborate on production integration of agentic capabilities
- Conduct post training research and engineering
- Develop benchmarking and diagnostic systems
- Identify bottlenecks and improve efficiency reliability performance
- Improve factuality instruction following and reasoning
- Integrate production feedback signals into training loops
Perks/Benefits
Skills/Tech-stack
Agent systems | Benchmarking | Data Curation | Data Pipelines | Distributed Training | Fine Tuning | Function Calling | Human Feedback | Instruction Tuning | Language Models | Large Language Models | Learning from Human Feedback | Model Evaluation | Multi-Agent | Multi-Agent Systems | Multi-GPU | Multi-node | Multimodal Learning | Post-training | Reinforcement Learning | Reinforcement Learning from Human Feedback | Tool use
Education
Roles
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