AI Research Engineer (Agentic Post-training)
Tasks
- Build large scale training pipelines
- Collaborate with research, engineering, and product teams
- Conduct post training research and engineering
- Create diagnostic systems
- Create model evaluation frameworks
- Curate training data
- Design multi agent coordination workflows
- Develop benchmarking systems
- Develop multi step reasoning methods
- Identify system bottlenecks
- Implement tool function calling systems
- Improve instruction following
- Improve large language model factuality
- Integrate production feedback into training loops
- Manage training infrastructure
Perks/Benefits
Skills/Tech-stack
Agentic Workflows | Benchmarking | Data pipeline | Distributed Training | Evaluation Frameworks | Fine Tuning | Function Calling | Human Feedback | Instruction Tuning | Language Models | Large Language Models | Learning from Human Feedback | Multi-GPU | Multi-node | Multimodal Learning | Post-training | Reinforcement Learning | Reinforcement Learning from Human Feedback | Tool use
Education
Roles
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