AI Research Engineer (Agentic Post-training)
Tasks
- Build evaluation frameworks
- Collaborate on production integration of agentic capabilities
- Conduct research and engineering for agentic post training
- Create benchmarking and diagnostic systems
- Develop post training training pipelines
- Improve factuality and instruction following
- Integrate production feedback into training loops
- Optimize efficiency and reliability of tool augmented models
Perks/Benefits
- Continuous learning
- Global distributed team
- High ownership of initiatives
- Professional growth
- Remote-first work environment
Skills/Tech-stack
Agent coordination | Benchmarking | Data Curation | Distributed Training | Fine Tuning | Function Calling | Instruction Tuning | Language Models | Large Language Models | Large-scale | Large-scale model | Large-scale model development | Model Development | Model Evaluation | Multi-Agent | Multi-Agent Coordination | Multi-GPU | Multimodal Data | Multimodal Learning | Post-training | Reinforcement Learning | Tool use | Training Infrastructure
Education
Roles
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