Senior NLP Engineer
Tasks
- Build scalable backend systems for high throughput model inference
- Collaborate with validation and data teams to measure model quality
- Design build and maintain agentic frameworks
- Implement alignment methods RLHF DPO and post training optimization
- Own end to end LLM lifecycle
- Research evaluate NLP techniques for product roadmap
- Train, fine-tune, and optimize Large Language Models
Perks/Benefits
- Annual vacation
- English language learning discounts
- Fully remote work
- Health support budget
- Home-office allowance
- Performance bonuses
- Professional development support
- Wellness days
Skills/Tech-stack
Agentic Systems | Backend systems | Data Preparation | Direct Preference Optimization | Distributed Training | Fine Tuning | Human Feedback | LLM orchestration | Language Models | Language Processing | Large Language Models | Learning from Human Feedback | Machine Learning | Model Fine-tuning | Model Training | Natural Language | Natural Language Processing | Optimization | Preference optimization | PyTorch | Python | Reinforcement Learning | Reinforcement Learning from Human Feedback | Transformer Architecture
Education
N/A
Roles
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