Senior NLP Engineer
Tasks
- Build scalable inference systems
- Deploy models
- Design agentic frameworks
- Evaluate NLP model quality
- Fine-tune large language models
- Implement Reasoning Loops
- Implement alignment methods DPO
- Implement alignment methods RLHF
- Manage end to end LLM lifecycle
- Monitor production model performance
- Optimize language models
- Orchestrate chat systems
- Prepare training data
- Research NLP techniques
- Run experiments to measure model performance
- Train large language models
Perks/Benefits
- Conference support
- Fully remote
- Health support budget
- Home office stipend
- Language learning discounts
- Paid vacation
- Professional development support
- Wellness days
Skills/Tech-stack
AI alignment | Agent Frameworks | Chat orchestration | Direct Preference Optimization | Distributed Training | Fine Tuning | High Throughput | High-throughput inference | Human Feedback | LLM orchestration | Language Models | Language Processing | Large Language Models | Learning from Human Feedback | Machine Learning | Model Deployment | Model Monitoring | Model Training | Natural Language | Natural Language Processing | Preference optimization | PyTorch | Python | Reinforcement Learning | Reinforcement Learning from Human Feedback | Transformers
Education
N/A
Roles
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