AI Research Engineer (Agentic Post-training)
Tasks
- Build data curation workflows
- Collaborate with research, engineering, and product teams
- Conduct research and engineering for agentic post training
- Design training pipelines for multi tool environments
- Develop evaluation and benchmarking frameworks
- Develop multi step reasoning and tool function calling
- Identify bottlenecks and improve reliability and performance
- Improve language model factuality and instruction following
- Integrate production feedback into training loops
- Optimize distributed training infrastructure
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 | Model Reliability | Multi-Agent | Multi-Agent Coordination | Multi-GPU | Multi-node | Multi-node Training | Multimodal Data | Multimodal Learning | Network training | Neural Network | Neural network training | Reinforcement Learning | Tool use
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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