Research Engineer für GenAI mit Fokus auf Post-Training und Agentic AI (all genders)
Tasks
- Conduct reasoning training with reinforcement learning
- Design and implement agent and multi agent systems
- Develop and maintain evaluation and benchmarking pipelines
- Develop and optimize post training pipelines for foundation models
- Identify and integrate training frameworks and infrastructure
- Implement continual pre training
- Integrate AI methods into industry technology stacks
- Perform supervised fine tuning and preference optimization
- Scale model training on large GPU clusters
Perks/Benefits
- Diversity training
- Flexible work options
- GPU infrastructure access
- International Conference Publishing Support
- Paid time off
- Performance bonus eligible
- Public transit subsidy
- Retirement plan
Skills/Tech-stack
Agent systems | Agentic AI | Artificial Intelligence | Benchmarking | Continual Learning | Continual pre-training | DPO | Deep learning | Fine Tuning | Foundation Models | GRPO | Language Processing | Machine Learning | Megatron | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | NeMo-RL | Pre-training | Preference optimization | PyTorch | Python | Reinforcement Learning | Slurm | Supervised Fine Tuning
Education
Roles
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