AI Research Engineer (Agentic Post-training)
Tasks
- Build large scale post training pipelines
- Collaborate with research, engineering, and product teams
- Conduct research and engineering for post training methods
- Develop benchmarking and diagnostic systems
- Identify bottlenecks and optimize tool augmented models
- Improve model factuality instruction following and reasoning
- Integrate production feedback into training loops
Perks/Benefits
Skills/Tech-stack
Agent coordination | Benchmarking | Data Curation | Data Pipelines | Distributed Training | Fine Tuning | Function Calling | Instruction Tuning | Language Models | Large Language Models | Model Evaluation | Multi-Agent | Multi-Agent Coordination | Multi-GPU | Multimodal Data | Multimodal Learning | Multinode training | Post-training | Reinforcement Learning | Tool use | Training Infrastructure
Education
Roles
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