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Machine Learning Manager - Ads Auto-Bidding Remote - United States

Senior Interior Designer

United States

Remote

USD 230,000 - 322,000

Full time

30+ days ago

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Job summary

An innovative company seeks a Machine Learning Manager to lead the Auto-Bidding team in developing cutting-edge algorithms that optimize advertising bids. This role combines technical leadership with strategic vision, allowing you to shape the future of ad delivery systems. You'll mentor a talented team, collaborate cross-functionally, and drive continuous improvement in model quality and system reliability. If you're passionate about machine learning and eager to make a significant impact in a dynamic environment, this opportunity is perfect for you. Join a forward-thinking organization that values diversity and inclusion, while offering competitive compensation and a comprehensive benefits package.

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) with Employer Match
Generous Time Off
Parental Leave
Equity in the form of Restricted Stock Units

Qualifications

  • 2+ years of engineering management experience leading ML teams.
  • 6+ years in large-scale ML, ideally in ads or marketplace optimization.

Responsibilities

  • Define and execute the roadmap for the Auto-Bidding team.
  • Oversee design and maintenance of high-performance Auto-Bidding algorithms.

Skills

Machine Learning
Engineering Management
Marketplace Optimization
Data Analysis
Control Systems
A/B Testing

Education

Bachelor's Degree in Computer Science or related field

Tools

Python
TensorFlow
AWS

Job description

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 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, delivering 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, real-time systems that optimize bids and maximize 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 understanding the 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.

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 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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