Machine Learning Manager

closed
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Reddit

πŸ“Remote - Canada

Summary

Join Reddit's Ads Auto-Bidding team as a Machine Learning Manager and lead a team of engineers in developing large-scale, real-time systems for bid optimization and maximizing advertiser value. You will define and execute the team's roadmap, overseeing the design and implementation of high-performance auto-bidding algorithms. Leverage your expertise in control systems, reinforcement learning, and marketplace optimization to design new bidding products and conduct A/B testing. Build scalable systems and data pipelines, while mentoring and leading a high-performing team. Collaborate with cross-functional teams to align strategies and ensure model quality and system reliability. This role requires significant experience in machine learning and engineering management within a large-scale environment, preferably in advertising or marketplace optimization.

Requirements

  • Minimum of 2 years of engineering management experience leading ML or related technical teams
  • At least 6 years of industry experience with large-scale machine learning, preferably in advertising or marketplace optimization
  • Minimum of 4 years of hands-on experience building ML systems
  • Proven expertise in marketplace optimization, experimentation and metric design, and data analysis

Responsibilities

  • Define and execute the roadmap for the Auto-Bidding team, balancing innovation, efficiency, and business impact
  • Oversee the design, implementation, and maintenance of high-performance auto-bidding algorithms and advertiser-facing products (e.g., Target CPA) to achieve optimal campaign performance
  • Utilize your experience with control systems, including PID controllers, multi-armed bandits, reinforcement learning algorithms, or bid/pricing optimization systems
  • Design new bidding optimization products and algorithms, conduct rigorous A/B experiments to evaluate business impact, and understand the marketplace implications of bidding changes
  • Architect large-scale serving systems, data processing pipelines, and real-time processing solutions
  • Recruit, mentor, and retain top talent while fostering a collaborative, inclusive, and high-performing team culture
  • Partner with Product Managers, Data Scientists, and other Engineering teams to align strategies with product requirements and key performance indicators (KPIs)
  • Advocate for model quality, system reliability, and operational excellence. Identify opportunities to improve engineering velocity and overall performance

Benefits

  • Comprehensive Health Benefits
  • Retirement Savings plan with matching contributions
  • Workspace benefits for your home office
  • Personal & Professional development funds
  • Family Planning Support
  • Flexible Vacation & Reddit Global Days Off
This job is filled or no longer available