Senior NLP Engineer
Tasks
- Apply DPO
- Apply RLHF
- Build LLM orchestration systems
- Build scalable inference backend systems
- Collaborate on experiments and measurement
- Deploy models to production
- Design agentic frameworks
- Evaluate NLP research for product roadmap
- Fine-tune large language models
- Implement Reasoning Loops
- Implement model alignment methods
- Improve model quality and performance
- Manage LLM lifecycle end to end
- Monitor model performance
- Optimize large language models
- Orchestrate chat systems
- Prepare training data
- Research NLP techniques
- Train large language models
Perks/Benefits
- Annual vacation
- Co-working allowance
- Conference support
- Continuous learning opportunities
- English learning discounts
- Fully remote work
- Health support budget
- Home office support
- Professional development support
- Wellness days
Skills/Tech-stack
Agentic Frameworks | Backend systems | C# | Deep learning | Direct Preference Optimization | Distributed Training | Go | Human Feedback | Inference Optimization | LLM orchestration | Language Models | Language Processing | Large Language Models | Learning from Human Feedback | Machine Learning | Model Alignment | Multimodal Models | Natural Language | Natural Language Processing | Preference optimization | PyTorch | Python | Reasoning loops | Reinforcement Learning | Reinforcement Learning from Human Feedback | Transformer Architectures
Education
N/A
Roles
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