Applied Machine Learning Scientist

📋 Description

• Design, develop, and improve machine learning algorithms that optimize advertising performance.
• Research and apply novel machine learning techniques to complex optimization problems.
• Build prototypes of algorithms and data pipelines, test with historical datasets, and iterate based
• Translate successful research into reliable, production-ready code for large-scale data
• Collaborate with engineering and data engineering teams to integrate algorithms into existing
• Apply statistical methods and optimization techniques to evaluate and improve algorithmic outcomes.

🎯 Requirements

• Master's degree or PhD in Computer Science, Statistics, Operations Research, or a related
• Comprehensive understanding of machine learning concepts and techniques.
• Strong knowledge of statistics, probability, mathematical optimization, and quantitative reasoning.
• Strong coding skills and understanding of data structures and algorithms.
• Ability to design, prototype, test, and refine algorithms using historical data.
• Strong analytical and problem-solving skills.

🎁 Benefits

• Competitive compensation: CAD $140,000–$192,500
• Additional compensation: annual bonuses, equity awards, or other incentives
• Remote-first work environment with access to coworking spaces
• Retirement savings programs
• Paid time off including a birthday day off
• Health benefits from first day and mental health care program