Machine Learning Engineer, Ads Personalization

About the role

The opportunity Our Gamer AI team develops conversion rate prediction and market price models that power our ad ranking and recommendation systems. By leveraging large-scale data and contextual signals, we continuously enhance prediction relevance and accuracy. This drives outcomes such as higher user engagement, stronger conversion performance, and better return on ad spend, helping advertisers achieve their goals while delivering a more engaging experience for users.

Responsibilities

• Design, implement, and maintain user understanding models.
• Ensure model quality and reliability by continuously monitoring performance, calibrating predictions, and addressing data drift or delayed feedback.
• Actively participate and work with other leads to set the long-term direction for the team, plan and oversee engineering designs and project execution.
• Effectively communicate complex technical concepts to non-engineering stakeholders.

Requirements

• Advanced degree (MS or Ph.D.) in Computer Science, Machine Learning, Statistics, related field, or equivalent practical experience.
• 5+ years of hands-on experience building and operating large-scale Ads delivery and optimization systems.
• 3+ years of experience in content understanding, behavior modeling, user profiling, and cohort analysis.
• Significant experience in one or more general-purpose programming languages like Python, Go, Scala, C++ or similar.
• Knowledge of metric design, experimentation methodologies, and large-scale data analysis.

Qualifications

• Experience designing and productionizing optimization algorithms in an ad serving platform and/or other marketplaces.
• Experience with state-of-the-art control systems, reinforcement learning algorithms.

Skills

• Strong problem-solving skills.
• Excellent communication and collaboration abilities.
• Ability to work independently and as part of a team.

Benefits

Annual Gross Pay: USD $159,600 - $239,400 This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set.

Pay

Annual Gross Pay: USD $159,600 - $239,400 This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set.

Schedule

Full-time.