Senior NLP Engineer
Tasks
- Build agentic frameworks
- Collaborate across data validation and product teams
- Deploy LLM models
- Design experiments for model quality
- Develop backend systems for model inference
- Evaluate state of the art NLP methods
- Implement Reasoning Loops
- Improve alignment using DPO
- Improve alignment using RLHF
- Measure model performance
- Monitor production models
- Optimize large language models
- Orchestrate chat systems
- Own LLM lifecycle end to end
- Prepare training data
- Train and fine-tune large language models
Perks/Benefits
- Annual vacation
- Conference support
- English language learning discounts
- Fully remote
- Global team flexibility
- Health support budget
- Home-office allowance
- Professional development support
- Wellness days
Skills/Tech-stack
Agent Frameworks | Agentic pipelines | Chat orchestration | Direct Preference Optimization | Distributed Training | Fine Tuning | High Throughput | High-throughput computing | Human Feedback | LLM orchestration | Language Models | Language Processing | Large Language Models | Learning from Human Feedback | Machine Learning | Model Fine-tuning | 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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