Member, Technical Staff

📋 Description

• Build and improve the technical pipeline that transforms clinical standards into executable
• Develop and iterate on representations capable of capturing complex clinical guideline logic
• Experiment with open-source and proprietary AI models, fine-tuning approaches, constrained
• Design and maintain rigorous benchmarks, datasets, evaluation metrics, and adversarial test cases
• Investigate model failures systematically, turning unexpected behavior into falsifiable hypotheses
• Develop deterministic validation systems using techniques such as static analysis, constraint

🎯 Requirements

• 3+ years of relevant research or industry experience in machine learning, artificial intelligence
• Strong technical foundation in machine learning, AI, NLP, formal methods, software engineering, or
• Demonstrated ability to design experiments and evaluation frameworks that rigorously test whether
• Experience developing datasets, benchmarks, metrics, validation methodologies, or adversarial
• Ability to investigate complex model behavior and translate failures into concrete, testable
• Familiarity with model fine-tuning, constrained decoding, or modern AI experimentation is an asset.

🎁 Benefits

• Competitive base salary with a meaningful equity package.
• Remote-first position available to candidates based in Canada.
• Periodic in-person team offsites.
• Opportunity to work directly with technical leadership, founders, and clinical experts.
• High level of ownership and significant influence over research and technical direction.
• Opportunity to work on frontier AI research with genuine clinical and real-world impact.