Senior NLP Engineer
Tasks
- Build agentic frameworks
- Build scalable inference backends
- Conduct experiments
- Deploy models to production
- Design model quality measurements
- Evaluate model quality
- Fine-tune language models
- Implement DPO alignment
- Implement RLHF alignment
- Implement Reasoning Loops
- Manage end to end LLM lifecycle
- Monitor model performance
- Optimize model performance
- Orchestrate chat systems
- Prepare training data
- Research NLP techniques
- Train large language models
Perks/Benefits
- Annual vacation
- Conference support
- Fully remote work
- Health support budget
- Home-office allowance
- Performance bonuses
- Professional development support
- Referral rewards
- Wellness days
Skills/Tech-stack
DPO | Deep learning | Distributed Training | Fine Tuning | High Throughput | High-throughput inference | Human Feedback | LLM orchestration | Language Models | Language Processing | Large Language Models | Learning from Human Feedback | Model Deployment | Model Fine-tuning | Model Monitoring | Model Training | Natural Language | Natural Language Processing | PyTorch | Python | Reinforcement Learning | Reinforcement Learning from Human Feedback | Transformer Architectures
Education
N/A
Roles
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