Senior NLP Engineer
Tasks
- Build reasoning loops
- Build scalable inference backends
- Conduct model quality experiments
- Deploy models to production
- Design agentic frameworks
- Evaluate NLP model quality
- Fine-tune language models
- Implement alignment methods
- Measure model performance
- Monitor production model performance
- Optimize language models
- Orchestrate chat systems
- Own LLM lifecycle
- Prepare data for training
- Research NLP techniques
- Train large language models
Perks/Benefits
- English learning discounts
- Fully remote
- Health support budget
- Home office support
- Professional development support
- Vacation days
- Wellness days
Skills/Tech-stack
DPO | Deep learning | Distributed Training | Fine Tuning | Human Feedback | Language Model | Language Models | Language Processing | Language model fine-tuning | Large Language Models | Learning from Human Feedback | Machine Learning | Model Deployment | Model Fine-tuning | Model Monitoring | Natural Language | Natural Language Processing | PyTorch | Python | Reinforcement Learning | Reinforcement Learning from Human Feedback | Transformers
Education
N/A
Roles
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