AI Research Engineer (Agentic Post-training)
Tasks
- Build training infrastructure
- Collaborate with research, engineering, and product teams
- Conduct post training research and engineering
- Create evaluation frameworks
- Develop benchmarking systems
- Develop post-training pipelines
- Identify system bottlenecks
- Improve model factuality and instruction following
- Integrate production feedback signals
Perks/Benefits
Skills/Tech-stack
Agent coordination | Data Curation | Deep learning | Distributed Training | Evaluation Frameworks | Fine Tuning | Function Calling | Instruction Tuning | Language Models | Large Language Models | Model Benchmarking | Multi-Agent | Multi-Agent Coordination | Multi-GPU | Multi-node | Multimodal Data | Reinforcement Learning | Tool use | Training pipelines
Education
Roles
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