Senior NLP Engineer
Tasks
- Build agentic frameworks
- Build backend inference systems
- Collaborate on experiments for model quality
- Conduct NLP research and evaluation
- Deploy models to production
- Design LLM orchestration systems
- Fine-tune large language models
- Implement alignment methods
- Monitor model performance in production
- Optimize large language models
- Own end to end LLM lifecycle
- Prepare training data
- Train large language models
- Translate research into product improvements
Perks/Benefits
- Conference support
- English language learning discount
- Fully remote
- Health support budget
- Home-office allowance
- Paid time off
- Professional development support
- Training budget
- Wellness days
Skills/Tech-stack
Agent Frameworks | Backend systems | DPO | Data Preparation | Direct Preference Optimization | Distributed Training | Fine Tuning | Human Feedback | Inference Optimization | LLM orchestration | Language Models | Language Processing | Large Language Models | Learning from Human Feedback | Model Deployment | Model Fine-tuning | Multimodal Models | Natural Language | Natural Language Processing | Preference optimization | Production Monitoring | PyTorch | Python | RLHF | Reinforcement Learning | Reinforcement Learning from Human Feedback | Transformers
Education
N/A
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