Machine Learning Manager - Ads Auto-Bidding

Posted 2 Days Ago
Be an Early Applicant
Hiring Remotely in United States
Remote
230K-322K Annually
Senior level
Information Technology • Mobile • News + Entertainment • Social Media
The Role
As an Engineering Manager for the Auto-Bidding team, you will lead the development of algorithms and systems that optimize bids and maximize advertiser value. You will oversee technical strategy, manage a team of engineers, improve system performance, and collaborate across departments to align on product goals.
Summary Generated by Built In

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 97M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit redditinc.com.

 

As a company, Reddit primarily generates revenue through advertising, and we're working towards building a massive business to fund our mission. We distinguish ourselves from other digital ad platforms by attracting advertisers who want to connect with a specific target audience because of our passionate and engaged communities.

The Auto-Bidding team is responsible for a central part of the ads delivery system that automates bidding taking into account advertiser objectives, delivers advertisers budgets smoothly and completely throughout the day. As the Engineering Manager for the Auto-Bidding team, you will lead a team of ML engineers to develop large-scale, realtime systems that optimizes bids and maximizes advertiser value.

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.
  • 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.
  • 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.

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.

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 [email protected].

Top Skills

Machine Learning
The Company
HQ: San Francisco, CA
1,900 Employees
Hybrid Workplace
Year Founded: 2005

What We Do

Reddit is a community of millions of users engaging in the creation of content and the sharing of conversation across tens of thousands of topics. Our mission is to bring community, belonging, and empowerment to everyone in the world.

Why Work With Us

At Reddit, you’ll help build something that encourages millions around the world to think more, do more, learn more, feel more– and maybe even laugh more.

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