Research Software Engineer (hybrid Montreal)
Tasks
- Build production systems from research results
- Create analysis notebooks in Python
- Deploy LLMs for extraction classification and triage
- Design agentic harnesses with tooling and context management
- Drive greenfield system builds design reviews and post mortems
- Form hypotheses
- Grow event driven approach for data feeds and telemetry
- Implement evaluation and guardrail systems
- Instrument monitor and debug live systems
- Maintain service level objectives
- Test hypotheses with data analysis
- Translate outcomes for technical and non technical audiences
Perks/Benefits
Skills/Tech-stack
BGP | DNS | Go | HTTP | HTTPS | IP | Jupyter | Language Models | Large Language Models | Machine Learning | Python | QUIC | Rust | Statistical Analysis | TCP | UDP | WebSocket
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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