Senior NLP Research Engineer
Tasks
- Build agent infrastructure with planning and tool use
- Create evaluation frameworks for retrieval and agents
- Design information retrieval at scale experiments
- Develop LLM based legal workflow systems
- Ground model responses in trusted legal sources
- Implement learning to rank using legal signals
- Validate cited content and surface uncertainty
Perks/Benefits
- Counseling benefit
- Counseling benefits
- Dental insurance
- Flexible time off
- Health insurance
- Hybrid work environment
- In office twice per week hybrid arrangement
- RESP contribution
- RRSP matching
- Vision insurance
Skills/Tech-stack
Agent Orchestration | Chunking | Contextual Embeddings | Data cleaning | Dense embeddings | Document Preprocessing | Human-in-the-loop | Hybrid search | Implicit Feedback | Information Retrieval | Language Models | Language Processing | Large Language Models | Learning-to-Rank | Machine Learning | Model Evaluation | Model grounding | Natural Language | Natural Language Processing | Prompt Chaining | Prompt engineering | Quantization | Query Augmentation | Re-ranking | Retrieval augmentation | Sparse embeddings | The Loop
Education
Bachelor of Engineering | Bachelor of Science | Master of Engineering | Master of Science | PhD
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