Senior NLP Engineer
Tasks
- Build LLM orchestration systems
- Build backend inference systems
- Deploy language models
- Design agentic frameworks
- Design model experiments
- Evaluate model quality
- Fine-tune language models
- Implement DPO
- Implement RLHF
- Implement Reasoning Loops
- Manage LLM lifecycle data preparation
- Measure model quality and performance
- Monitor production model performance
- Optimize large language models
- Orchestrate chat systems
- Research state-of-the-art NLP techniques
- Train language models
- Translate research into product improvements
Perks/Benefits
- Annual paid vacation
- Co-working support
- Conference support
- English language learning discounts
- Fully remote
- Health support budget
- Home-office allowance
- Professional development support
- Wellness days
Skills/Tech-stack
Agentic Frameworks | Chat orchestration | Data Preparation | Direct Preference Optimization | Distributed Training | Experimentation | Fine Tuning | Human Feedback | Inference Optimization | LLM orchestration | Language Models | Language Processing | Large Language Models | Learning from Human Feedback | Machine Learning | Model Evaluation | 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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