Applied Machine Learning Scientist

📋 Description

• Design, develop, and improve machine learning algorithms that optimize advertising performance
• Explore novel algorithmic approaches, advance state-of-the-art methods, and apply established
• Build prototypes of potential algorithms and data pipelines, test their performance using
• Translate successful research and prototypes into reliable, production-ready code that can operate
• Work closely with engineering and data engineering teams to integrate new algorithms into existing
• Apply statistical methods, optimization techniques, and machine learning principles to evaluate

🎯 Requirements

• Master’s degree or PhD in Computer Science, Statistics, Operations Research, or a related
• Comprehensive understanding of machine learning concepts and techniques, with the ability to apply
• Strong knowledge of statistics, probability, mathematical optimization, and quantitative reasoning.
• Strong coding skills and a solid understanding of data structures and algorithms, with the ability
• Ability to design, prototype, test, and refine algorithms using historical data and experimental
• Strong analytical skills and the ability to investigate complex problems, evaluate alternatives

🎁 Benefits

• Canadian base salary range of CAD $140,000–$192,500, with the final offer based on experience
• Depending on eligibility and role structure, additional compensation may include annual bonuses
• Flexibility to work remotely, with opportunities for eligible employees to access coworking spaces.
• Access to retirement, pension, or savings programs, depending on the country of employment.
• Competitive paid time off, including a birthday day off.
• Health benefits beginning on the first day of employment, along with access to a comprehensive