Applied AI Research Scientist

📋 Description

• Identify high-value opportunities for foundation model research and development, scope initiatives
• Develop next-generation fraud detection solutions by applying foundation models, deep learning, and
• Establish and maintain a high evaluation standard through offline benchmarks, time- and
• Take models through the complete machine learning lifecycle, including data preparation
• Partner with engineering teams on training infrastructure, GPU utilization and efficiency, feature
• Ensure models meet demanding production requirements, including tight latency constraints, reliable

🎯 Requirements

• 4+ years of experience in applied machine learning, quantitative modeling, or a closely related
• Hands-on experience pretraining or substantially adapting at least one foundation model and
• Strong practical experience with self-supervised pretraining, fine-tuning, and model adaptation
• Production experience with model serving, versioning, monitoring, and rollback processes.
• Strong Python and SQL skills with demonstrated ability to prepare, process, and analyze very large
• Ability to independently scope and execute ambiguous research and development projects from

🎁 Benefits

• Generous compensation package combining cash and equity.
• Early exercise opportunities for all stock options, including pre-vested options.
• Remote-first culture with flexibility to work from anywhere.
• Flexible paid time off and a year-end company break.
• Health, dental, and vision insurance for employees and eligible dependents in Canada.
• 4% RRSP matching for eligible Canadian employees.