Machine Learning Manager - Ads Auto-Bidding

At Reddit, we generate revenue primarily through advertising and are building a large-scale business to support our mission. We stand apart from other digital ad platforms by attracting advertisers who seek to engage with our passionate, highly engaged communities. As the Machine Learning Manager for the Ads Auto-Bidding team, you will lead a group of machine learning engineers to develop large-scale, real-time systems that optimize bids and maximize advertiser value. Our Ads Auto-Bidding team plays a critical role in our ads delivery system by automating bids based on advertiser objectives and ensuring smooth, consistent budget delivery throughout the day. We invite you to join our team at Reddit, where you will have the opportunity to drive innovation and deliver meaningful impact within the digital advertising landscape.

Responsibilities:

• Technical Vision & Strategy: Define and execute the roadmap for the Auto-Bidding team, balancing innovation, efficiency, and business impact.
• Develop & Optimize Auto-Bidding Solutions: 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.
• Machine Learning & Control Systems: Utilize your experience with control systems, including PID controllers, multi-armed bandits, reinforcement learning algorithms, or bid/pricing optimization systems.
• Marketplace Expertise: Design new bidding optimization products and algorithms, conduct rigorous A/B experiments to evaluate business impact, and understand the marketplace implications of bidding changes.
• Scalable Systems & Data Pipelines: Architect large-scale serving systems, data processing pipelines, and real-time processing solutions.
• Team Leadership & Mentorship: Recruit, mentor, and retain top talent while fostering a collaborative, inclusive, and high-performing team culture.
• Cross-Functional Collaboration: Partner with Product Managers, Data Scientists, and other Engineering teams to align strategies with product requirements and key performance indicators (KPIs).
• Continuous Improvement: Advocate for model quality, system reliability, and operational excellence. Identify opportunities to improve engineering velocity and overall performance.

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.