Machine Learning Manager - PF&O (Recommendations & Forecasting)

August 12

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Reddit, Inc.

WebsiteLinkedInAll Job Openings

B2C • Media • Social Impact

Reddit, Inc. is a social media platform that acts as a hub for thousands of communities, where users can engage in diverse conversations ranging from breaking news to niche interests. It enables users to post, comment, and vote on content, fostering a vibrant online community. Millions of people globally connect and share their passions on Reddit, creating a dynamic environment for authentic human interaction.

501 - 1000 employees

Founded 2005

👥 B2C

📱 Media

🌍 Social Impact

📋 Description

• Reddit is a community of communities. It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. • The PF&O team (recommendations and forecasting) is building out our advertiser and sales tools – including: ML systems and data-driven recommendations that teach advertisers how to use Reddit campaigns effectively; Forecasting and planning tools to help both internal sales and external agency buyers; Opportunities to use AI, ML, and Reddit’s unique communities to rethink the advertiser experience. • What you’ll do: Set Technical Vision & Strategy; 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; Develop & Optimize Recommendation and Forecasting Systems; Oversee the design, implementation, and maintenance of high-performance advertiser- and sales-facing products; Ensure these systems meet or exceed accuracy goals, advertiser expectations, and system reliability standards; Mentor & Grow Your Team; 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; Cross-Functional Collaboration; 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; Champion Continuous Improvement; 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: Engineering Leadership: Significant experience managing engineering teams, ideally in machine learning or similarly technical domains; Industry Tenure: Extensive hands-on experience building and operating large-scale Ads or Marketplace systems; People Management & Team Building: Demonstrated success in managing, mentoring, and growing teams. Skilled in hiring, performance management, and fostering diverse, inclusive environments; Hands-On ML Proficiency (preferred): Experience with real-time serving systems, model development, and optimization pipelines; Control Systems & Algorithms: Familiarity with PID controllers, multi-armed bandits, reinforcement learning, or other bidding/pricing optimization approaches; Marketplace Optimization: Skilled in designing new bidding optimization algorithms and conducting A/B tests to evaluate business and marketplace impact; Experimentation & Data Analysis: Knowledge of metric design, experimentation methodologies, and large-scale data analysis; System Architecture & Scalability: Expertise in building and maintaining scalable systems, high-performance serving architectures, real-time streaming, and robust data pipelines; Ads Domain Knowledge: Familiarity with ads delivery, recommendations, targeting, or marketplace optimization systems; Strategic Vision: Ability to define a clear technical vision and lead day-to-day execution; Cross-Functional Collaboration: Comfortable working across disciplines—engineering, product, data science—and communicating technical ideas to broad audiences.

🎯 Requirements

• Engineering Leadership: Significant experience managing engineering teams, ideally in machine learning or similarly technical domains. • Industry Tenure: Extensive hands-on experience building and operating large-scale Ads or Marketplace systems. • People Management & Team Building: Demonstrated success in managing, mentoring, and growing teams. Skilled in hiring, performance management, and fostering diverse, inclusive environments. • Hands-On ML Proficiency (preferred): Experience with real-time serving systems, model development, and optimization pipelines. • Control Systems & Algorithms: Familiarity with PID controllers, multi-armed bandits, reinforcement learning, or other bidding/pricing optimization approaches. • Marketplace Optimization: Skilled in designing new bidding optimization algorithms and conducting A/B tests to evaluate business and marketplace impact. • Experimentation & Data Analysis: Knowledge of metric design, experimentation methodologies, and large-scale data analysis. • System Architecture & Scalability: Expertise in building and maintaining scalable systems, high-performance serving architectures, real-time streaming, and robust data pipelines. • Ads Domain Knowledge: Familiarity with ads delivery, recommendations, targeting, or marketplace optimization systems. • Strategic Vision: Ability to define a clear technical vision and lead day-to-day execution. • Cross-Functional Collaboration: Comfortable working across disciplines—engineering, product, data science—and communicating technical ideas to broad audiences.

🏖️ Benefits

• Comprehensive Healthcare Benefits • 401k Matching • Workspace benefits for your home office • Personal & Professional development funds • Family Planning Support • Flexible Vacation (please use them!) & Reddit Global Wellness Days • 4+ months paid Parental Leave • Paid Volunteer time off