Machine Learning Manager

Summary

Join Reddit's Advertiser Optimization organization as a leader of the PF&O (recommendations and forecasting) team, building and enhancing advertiser and sales tools. You will define and execute the long-term roadmap for the Auto-Bidding team, focusing on innovation, efficiency, and revenue impact. Responsibilities include overseeing the design, implementation, and maintenance of high-performance products, ensuring they meet accuracy and reliability standards. You will also mentor and grow your engineering team, fostering a collaborative and high-performing culture. Collaboration with product managers and other engineering teams is crucial, as is effectively communicating technical concepts to non-engineering stakeholders. Finally, you will champion continuous improvement, driving best practices and identifying opportunities to increase engineering velocity and improve system performance.

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

Responsibilities

• 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

Preferred Qualifications

• 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

• A dynamic, supportive work environment with a diverse team of engineers and cross-functional partners
• Opportunities for professional growth and development, with a focus on continuous learning and skill-building
• A competitive salary and benefits package, with a focus on work-life balance and employee well-being
• Flexible work arrangements, including remote work options, to support your individual needs and preferences
• The chance to work on high-impact projects that drive real results for our users and advertisers
• 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