Senior Machine Learning Developer, Advertiser Growth

Senior Machine Learning Developer, Advertiser Growth

This is an exceptional opportunity for an experienced machine learning and backend engineering professional to work on large-scale advertising technologies that power global digital experiences. In this role, you will contribute to the development of advanced systems that optimize advertiser performance, financial reliability, and marketplace efficiency across billions of events and users. You'll work at the intersection of AI innovation, experimentation frameworks, distributed systems, and real-time data processing to solve highly complex technical challenges. The position offers significant ownership and visibility, with direct impact on revenue optimization, platform scalability, and product evolution. Operating within a collaborative and high-performing engineering environment, you'll help shape next-generation infrastructure while mentoring peers and influencing long-term technical strategy. This role is ideal for someone passionate about machine learning systems, scalable backend architecture, and applying scientific rigor to business-critical decision-making.

Accountabilities:

• Design and optimize advanced budget pacing and spend-control systems to ensure stable advertiser delivery and marketplace efficiency across global traffic patterns
• Lead the integration and scaling of Generative AI technologies to automate the production of high-performing creative assets for advertising campaigns
• Build and enhance experimentation frameworks, including A/B testing and long-term holdout methodologies, to evaluate marketplace changes and advertiser performance outcomes
• Architect and maintain highly reliable billing and financial processing pipelines capable of handling billions of real-time events with exceptional accuracy and fault tolerance
• Analyze large-scale financial and marketplace datasets to improve pacing strategies, optimization models, and advertiser ROI performance
• Collaborate with cross-functional engineering and product teams to develop scalable backend infrastructure supporting ad delivery and marketplace intelligence
• Provide technical leadership on complex multi-quarter initiatives while mentoring engineers and contributing to architectural decision-making

Requirements:

• Advanced degree in Computer Science, Software Engineering, Machine Learning, or a related technical field, or equivalent practical experience
• Minimum 4 years of software engineering experience, including hands-on work with advertising delivery systems or related large-scale distributed platforms
• Strong expertise in backend development using languages such as Java, Go, or Scala
• Deep understanding of budget control systems, probabilistic forecasting, feedback loops, or spend prediction algorithms
• Proven experience designing or scaling experimentation platforms with knowledge of variance reduction, metric design, and marketplace dynamics
• Experience working on mission-critical systems such as billing, payments, or financial reconciliation pipelines requiring high precision and reliability
• Familiarity with Generative AI infrastructure, including backend workflows supporting diffusion models, LLMs, or creative asset generation systems
• Proficiency with real-time stream processing technologies such as Kafka, Flink, or Spark in event-driven environments
• Strong analytical, problem-solving, and communication skills with the ability to lead technical initiatives and mentor engineering teams
• Comfortable collaborating in a global environment requiring frequent communication in English

Benefits:

• Competitive salary package ranging from CAD $125,600 to $169,500, depending on experience and location
• Comprehensive health, life, and disability insurance coverage
• Employee stock ownership opportunities and competitive retirement or pension plans
• Generous vacation allowance and personal time off
• Flexible support programs for parents and family care needs
• Mental health and wellbeing resources, including employee assistance programs
• Training, learning, and professional development opportunities
• Inclusive workplace culture supported by employee resource groups and global collaboration initiatives
• Volunteer and donation matching programs supporting community engagement
• Office perks and wellness-focused initiatives designed to support work-life balance