Senior NLP Engineer
Tasks
- Collaborate to design experiments and measure model quality
- Design build and maintain agentic frameworks
- Implement alignment methods RLHF and DPO
- Own end to end LLM lifecycle
- Research and evaluate NLP techniques
- Support scalable backend systems for model inference
- Train, fine-tune, and optimize Large Language Models
Perks/Benefits
- Annual health support budget
- Annual vacation
- English language learning discounts
- Fully remote
- Home office support
- Performance bonuses
- Professional development support
- Wellness days
Skills/Tech-stack
Agentic Systems | Backend Engineering | Deep learning | Direct Preference Optimization | Distributed Training | Fine Tuning | Human Feedback | Information Retrieval | 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 | PyTorch | Python | Reinforcement Learning | Reinforcement Learning from Human Feedback | Transformer Architectures
Education
N/A
Roles
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