Sr Data Scientist, AI Products

Job summary

Lead the end-to-end AI product lifecycle from identifying user pain points to training foundation models and measuring real-world impact. Collaborate with cross-functional teams to translate business goals into a technical AI roadmap and maintain production-grade training pipelines.

Job details

Lead the end-to-end AI product lifecycle from identifying user pain points to training foundation models and measuring real-world impact. Collaborate with cross-functional teams to translate business goals into a technical AI roadmap and maintain production-grade training pipelines. Requires deep expertise in designing and shipping production AI models, specifically with transformer architectures and LLMs. Candidates must possess strong product sense to translate business objectives into measurable hypotheses and actionable insights.

What you’ll do

Lead the end-to-end AI product lifecycle from identifying user pain points to training foundation models and measuring real-world impact. Collaborate with cross-functional teams to translate business goals into a technical AI roadmap and maintain production-grade training pipelines.

Requirements

Requires deep expertise in designing and shipping production AI models, specifically with transformer architectures and LLMs. Candidates must possess strong product sense to translate business objectives into measurable hypotheses and actionable insights.

Benefits

• Health benefits
• Life insurance
• Employer match group savings
• 20 vacation days
• 4 wellness days
• Unlimited sick and mental health days
• Work outside Canada for up to 90 days per year
• Employee resource groups
• Equity compensation

Listed skills

• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Transformer Architectures
• Large Language Models
• A/B Testing
• Causal Inference
• Product Analytics
• Fine-tuning
• Knowledge Distillation
• Quantization
• Instruction Tuning
• Data Pipelines
• Model Architecture
• KPI Definition
• Product Management Mindset
• Python
• Evaluation Harnesses
• Representation Learning

Job areas

• Data & Analytics
• Technology
• Software
• Finance & Accounting
• Science & Research

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