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Machine Learning Manager - Ads Auto-Bidding

Remote - United States
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. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 101M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit redditinc.com.

 

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.

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

#LI-Remote

Pay Transparency:

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.

To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base pay range for this position is:

$230,000 - $322,000 USD

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at ApplicationAssistance@Reddit.com.

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Reddit U.S. Equal Employment Information

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. To bring community and belonging to everyone in the world, Reddit’s employees must represent communities and redditors on our platform.

Our vision at Reddit is to have a workforce representative of people with different perspectives and experiences, including but not limited to, gender, race and ethnicity, sexual orientation, age, national origin, religion, and political views.

We invite you to self-identify across the identities below so we can better understand our talent pools and assess our effectiveness in attracting and recruiting people to Reddit from all backgrounds.

Answering these questions will not impact your application, nor will this information be shared with anyone making a hiring decision. For more information, please refer to our statement here.

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