AI Research Engineer (Agentic Post-training)
Tasks
- Advance post training methods for agentic AI
- Build and optimize large scale training pipelines
- Collaborate with research, engineering, and product teams
- Conduct end to end research and engineering
- Create data curation workflows
- Design evaluation frameworks
- Develop benchmarking and diagnostic systems
- Develop multi step reasoning and tool function calling
- Identify system bottlenecks and propose optimizations
- Improve factuality and instruction following
- Integrate production feedback signals
Perks/Benefits
Skills/Tech-stack
Agent systems | Agentic Workflows | Benchmarking | Data Curation | Data pipeline | Distributed Training | Evaluation Frameworks | Fine Tuning | Function Calling | GitHub | Hugging Face | Instruction Tuning | Language Models | Large Language Models | Machine Learning | Multi-Agent | Multi-Agent Systems | Multi-GPU | Multi-node | Multimodal Data | Multimodal Learning | Post-training | Reinforcement Learning | Tool use | Training pipelines
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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