Senior NLP Engineer
Tasks
- Collaborate on experiments to measure model quality
- Design build and maintain agentic frameworks
- Implement alignment methods RLHF and DPO
- Own end to end LLM lifecycle
- Research evaluate NLP techniques
- Support scalable backend systems for model inference
- Train, fine-tune, and optimize Large Language Models
Perks/Benefits
- Continuous learning opportunities
- English language learning discounts
- Fully remote
- Health support budget
- Professional development support
- Vacation time
- Wellness days
- Workplace support allowance
Skills/Tech-stack
Agent Orchestration | Data Preparation | Direct Preference Optimization | Distributed Training | Fine Tuning | High Throughput | High-throughput computing | Human Feedback | 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 | Preference optimization | PyTorch | Python | Reinforcement Learning | Reinforcement Learning from Human Feedback | Systems engineering | Transformers
Education
N/A
Roles
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