AI Research Engineer (Agentic Post-training)
Tasks
- Build training pipelines
- Collaborate with cross-functional teams
- Conduct post training research
- Create benchmarking systems
- Develop evaluation frameworks
- Identify system bottlenecks
- Improve factuality and instruction following
- Improve model reasoning
- Integrate feedback into training loops
- Optimize tool augmented models
Perks/Benefits
Skills/Tech-stack
Agent coordination | Benchmarking | Data Curation | Diagnostic systems | Distributed Training | Fine Tuning | Function Calling | Instruction Tuning | Language Models | Large Language Models | Model Evaluation | Multi-Agent | Multi-Agent Coordination | Multi-GPU | Multi-node | Multimodal Learning | Post-training | Reinforcement Learning | Tool use | Training Infrastructure
Education
Roles
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