Reddit is seeking a Machine Learning Manager to lead the Auto-Bidding team within our PF&O (recommendations and forecasting) organization. In this role, you will build machine learning systems and data-driven recommendations for advertisers, develop forecasting tools for sales, define the technical vision, and mentor a team of engineers.

What You'll Do

Define and execute the long-term roadmap for the Auto-Bidding team, balancing innovation, efficiency, and revenue impact.
Collaborate with leadership to align technology investments with broader business objectives.
Oversee the design, implementation, and maintenance of high-performance advertiser- and sales-facing products.
Ensure systems meet or exceed accuracy goals, advertiser expectations, and system reliability standards.
Recruit, mentor, and retain top engineering talent.
Foster a collaborative, inclusive, and high-performing culture with a strong emphasis on technical mentorship and career development.
Partner with Product Managers and other engineering teams to align technical work with product requirements and KPIs.
Effectively communicate complex technical concepts to non-engineering stakeholders.
Drive best practices for model quality, experimentation, system reliability, and operational excellence.
Identify and implement opportunities to increase engineering velocity, reduce costs, and improve system performance.

What We're Looking For

Significant experience managing engineering teams, ideally in machine learning or similarly technical domains.
Extensive hands-on experience building and operating large-scale Ads or Marketplace systems.
Demonstrated success in managing, mentoring, and growing teams.
Skilled in hiring, performance management, and fostering diverse, inclusive environments.
Familiarity with PID controllers, multi-armed bandits, reinforcement learning, or other bidding/pricing optimization approaches.
Skilled in designing new bidding optimization algorithms and conducting A/B tests to evaluate business and marketplace impact.
Knowledge of metric design, experimentation methodologies, and large-scale data analysis.
Expertise in building and maintaining scalable systems, high-performance serving architectures, real-time streaming, and robust data pipelines.
Familiarity with ads delivery, recommendations, targeting, or marketplace optimization systems.
Ability to define a clear technical vision and lead day-to-day execution.
Comfortable working across disciplines—engineering, product, data science—and communicating technical ideas to broad audiences.