Senior NLP Engineer
Tasks
- Build scalable backend systems for model inference
- Collaborate design experiments measure model quality
- Design build maintain agentic frameworks
- Implement alignment methods DPO
- Implement alignment methods RLHF
- Own end to end LLM lifecycle
- Research evaluate NLP techniques
- Train fine tune optimize large language models
Perks/Benefits
- Conference support
- Distributed Global Team
- English learning discounts
- Fully remote
- Health support budget
- Home office setup allowance
- Internal rewards system
- Paid vacation
- Professional development support
- Wellness days
Skills/Tech-stack
Agent Frameworks | Agentic pipelines | DPO | Direct Preference Optimization | 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 | Multimodal Models | Natural Language | Natural Language Processing | Preference optimization | Production Monitoring | PyTorch | Python | RLHF | Reinforcement Learning | Reinforcement Learning from Human Feedback | Transformer Architectures
Education
N/A
Roles
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