Applied AI Research Scientist

📋 Description

• Identify and scope opportunities, design rigorous experiments, and execute on the roadmap for
• Own the evaluation bar for foundation model performance: offline benchmarks, time- and entity-aware
• Take models the full distance from data prep and tokenization through pretraining, fine-tuning
• Partner with Engineering on training infrastructure, GPU efficiency, feature and embedding stores
• Work directly with client-facing teams and customers to turn model capabilities and limits into
• Partner with Legal, Compliance, and customer model risk teams to build the explainability

🎯 Requirements

• 4+ years in applied machine learning, quantitative modeling, or ML engineering including at least
• Hands-on self-supervised pre training experience, plus practical fine-tuning and adaptation
• Production experience with model serving, versioning, monitoring, and rollback
• Ability to self-manage and drive ambiguous applied research projects with clear communication with
• Strong Python, strong SQL, and comfort preparing very large datasets

🎁 Benefits

• Generous compensation in cash and equity
• Early exercise for all options, including pre-vested
• Work from anywhere: Remote-first Culture
• Flexible paid time off and Year-end break
• Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific
• 4% matching in 401k / RRSP - US and Canada specific