Senior NLP Engineer
Tasks
- Build and maintain agentic frameworks
- Collaborate with data and validation teams
- Deploy models and monitor production performance
- Design and run model evaluation experiments
- Implement alignment methods DPO
- Implement alignment methods RLHF
- Implement reasoning loops and chat orchestration
- Optimize large language models
- Own LLM lifecycle from data to deployment
- Research and evaluate NLP techniques
- Support high throughput model inference systems
- Train and fine-tune large language models
- Translate research into product improvements
Perks/Benefits
- Annual vacation
- Conference support
- Fully remote
- Health support budget
- Home office support
- Professional development support
- Wellness days
Skills/Tech-stack
Agentic Systems | Data Preparation | Deep learning | Direct Preference Optimization | Distributed Training | Fine Tuning | High Throughput | High-throughput computing | Human Feedback | LLM orchestration | Language Models | Language Processing | Large Language Models | Learning from Human Feedback | Machine Learning | Model Deployment | Model Fine-tuning | Model Training | Natural Language | Natural Language Processing | Preference optimization | Production Monitoring | PyTorch | Python | Reinforcement Learning | Reinforcement Learning from Human Feedback | Transformers
Education
N/A
Roles
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