Machine Learning Manager

Summary

Join Reddit's Auto-Bidding team as an Engineering Manager and lead a team of ML engineers in developing large-scale, real-time systems for bid optimization. You will define and execute the team's roadmap, overseeing the design and maintenance of high-performance Auto-Bidding algorithms. This role requires extensive experience in ML, marketplace optimization, and scalable systems. You will mentor and grow your team, collaborating with various departments to achieve product goals. Reddit offers a competitive salary and a comprehensive benefits package.

Requirements

• 2+ years of engineering management experience, leading ML or related technical teams
• 6+ years of industry experience with large-scale ML, ideally in ads or marketplace optimization
• 4+ years of hands-on expertise building ML systems
• Experience with marketplace optimization, experimentation and metric design, data analysis

Responsibilities

• Set 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 like Target CPA to achieve optimal campaign performance
• Mentor & Grow Your Team: Recruit, mentor, and retain top talent, fostering a collaborative, inclusive, and high-performing culture
• Cross-Functional Collaboration: Partner with Product Managers, Data Scientists, and other Engineering teams to align strategies with product requirements and KPIs
• Continuous Improvement: Advocate for model quality, system reliability, and operational excellence. Identify opportunities to improve engineer velocity and overall performance

Preferred Qualifications

• Machine Learning & Control Systems: Prior experience with control systems, PID controllers, multi-armed bandits, reinforcement learning algorithms, or bid/pricing optimization systems
• Marketplace Expertise: Proficiency in designing new bidding optimization products and algorithms as well as conducting rigorous A/B experiments to evaluate business impact and the ability to understand marketplace impact of bidding changes
• Scalable Systems & Data Pipelines: Expertise in architecting large-scale serving systems, data processing pipelines and real-time processing

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