AI Research Engineer (Agentic Post-training)
Tasks
- Advance post training methods for agentic AI
- Build post training data curation workflows
- Collaborate with research, engineering, and product teams
- Conduct end to end research and engineering
- Create evaluation frameworks
- Develop benchmarking and diagnostic systems
- Develop multi step reasoning and tool function calling
- Identify system bottlenecks and propose solutions
- Improve factuality and instruction following
- Integrate production feedback signals
- Optimize training infrastructure
Perks/Benefits
Skills/Tech-stack
Agent coordination | Benchmarking | Data Curation | Data Pipelines | Deep learning | Diagnostic systems | Distributed Training | Fine Tuning | Function Calling | Instruction Tuning | Language Models | Large Language Models | Machine Learning | Model Evaluation | Multi-Agent | Multi-Agent Coordination | Multi-GPU | Multi-node | Multi-node Training | Multimodal Data | Multimodal Learning | Post-training | PyTorch | Python | Reinforcement Learning | Tool use
Education
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