AI Research Engineer (Agentic Post-training)
Tasks
- Build and optimize large scale training pipelines
- Conduct research and engineering for post training methods
- Coordinate multi agent and agentic workflows
- Create data curation workflows
- Design evaluation frameworks
- Develop benchmarking and diagnostic systems
- Develop multi step reasoning and tool function calling
- Identify system bottlenecks and improve efficiency
- Improve factuality and instruction following
- Integrate production feedback into training loops
Perks/Benefits
- Continuous learning
- Globally distributed team
- Performance-based growth opportunities
- Professional growth opportunities
- Remote-first
Skills/Tech-stack
Benchmarking | Data pipeline | Deep learning | Diagnostic systems | Distributed Training | Fine Tuning | Function Calling | Hugging Face | Hugging Face Transformers | Instruction Tuning | Language Models | Large Language Models | Model Evaluation | Multi-GPU | Multi-node | Multi-node Training | Multimodal Data | Multimodal Learning | Post-training | PyTorch | Python | Reinforcement Learning | Tool use
Education
Roles
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