Machine Learning Manager - Ads Auto-Bidding

Gh Gruppe; United States; Remote; USD 230,000 - 322,000; Full time

Job summary

An innovative company is seeking a Machine Learning Manager to lead the Auto-Bidding team in developing cutting-edge algorithms and optimizing bidding strategies. This role involves setting technical vision, mentoring a talented team, and collaborating cross-functionally to enhance ad performance. With a focus on large-scale systems and data pipelines, you will drive impactful projects that enhance advertiser value. Join a dynamic environment where your expertise in machine learning and engineering management will shape the future of advertising technology. If you are passionate about leading teams and making a difference, this opportunity is for you.

Benefits

401k Matching

Workspace benefits for home office

Family Planning Support

Flexible Vacation

Paid Volunteer time off

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 implementation of high-performance Auto-Bidding algorithms.

Skills

Machine Learning

Engineering Management

Data Analysis

Marketplace Optimization

A/B Testing

Control Systems

Education

Bachelor's Degree in Engineering or related field

Tools

Data Processing Pipelines

Real-time Processing Systems

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.

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 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 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.

Compensation & Benefits:

• 401k Matching
• Workspace benefits for your home office
• Family Planning Support
• Flexible Vacation (please use them!) & Reddit Global Wellness Days
• Paid Volunteer time off

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.

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.

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