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Machine Learning Engineering Manager - Ads Engagement Modeling

Reddit, Inc.β€’πŸŒ Remote Worldwideβ€’Estimated: $80,000 - $120,000

✨ AI Insights & Summary

Reddit's Engagement Modeling Team is seeking a visionary leader to spearhead the development and scaling of their Ads prediction models. This is a pivotal role for an experienced Machine Learning leader who can blend strategic foresight with hands-on technical execution, driving state-of-the-art modeling advancements within a dynamic, community-driven platform. If you're passionate about shaping user engagement through sophisticated AI and eager to mentor a talented team in a remote-friendly U.S. environment, this opportunity offers significant impact and growth.

About Reddit

Reddit is a thriving community of communities, built on shared interests and authentic conversations. It serves as a vast source of information, hosting over 100,000 active communities and attracting approximately 126 million daily active unique visitors. Learn more at www.redditinc.com.

Team Overview: Engagement Modeling

The Engagement Modeling Team focuses on creating machine learning models to enhance user engagement with diverse media and content on the platform. The team specializes in predictive modeling to improve click-through rates and video view-throughs, aiming to advance state-of-the-art modeling techniques and align with product goals.

The Opportunity

This role is ideal for a leader with deep machine learning expertise, strategic vision, and a collaborative spirit, capable of engaging effectively with both technical and cross-functional teams. The position is open to candidates across the U.S. and supports a remote-friendly work environment.

Responsibilities

  • Set Technical Vision and Strategy: Define and execute a roadmap for engagement modeling, balancing innovative approaches with business objectives.
  • Drive Technical Execution: Oversee the end-to-end model development lifecycle, ensuring high standards of ML performance and robustness.
  • Lead and Mentor a High-Performing Team: Recruit, mentor, and retain top ML talent, fostering a culture of growth and technical excellence.
  • Collaborate Cross-Functionally: Partner with Product Managers, Data Scientists, and other Engineering teams to align on engagement strategies, data requirements, and model KPIs.
  • Innovate in ML Architecture: Implement and optimize model architectures for engagement prediction, utilizing deep learning and advanced ML techniques.

Candidate Profile

The ideal candidate will lead a diverse, high-impact team and foster collaboration across Product Management, Data Science, and Engineering functions within the Ads division. Key attributes include:

  • People Management Experience: Proven track record of managing engineering teams, with a focus on technical mentorship and team development.
  • Strategic Planning: Ability to formulate and execute a long-term technical strategy aligned with business goals.
  • Technical Execution: Expertise in overseeing the ML model development lifecycle from ideation to deployment.
  • Team Leadership: Skill in recruiting, mentoring, and retaining top ML talent.
  • Cross-Functional Collaboration: Strong partnership capabilities with various teams.
  • ML Architecture Innovation: Experience in designing and optimizing ML models for prediction tasks.

Required Qualifications

  • 2+ years of experience building and managing high-performing machine learning teams, preferably in the Ads domain (tech lead experience considered).
  • Deep hands-on experience with machine learning models and deploying them in large-scale production systems.
  • Proven ability in training, evaluating, and deploying large-scale models (end-to-end ML lifecycle).
  • 4+ years of hands-on experience with TensorFlow or PyTorch.
  • Strategic thinking capabilities to develop and communicate technical strategies.
  • Impact-driven mindset focused on scalable, well-designed, and responsible AI solutions.
  • Exceptional communication and collaboration skills, with the ability to convey complex technical topics to diverse audiences.
  • Experience with Ads or Engagement Modeling is a plus.

Perks and Benefits

  • 100% remote opportunity (offices available in NY, SF, LA, Chicago for hybrid/onsite preference).
  • Competitive salary and equity options.
  • Comprehensive health benefits (medical, dental, vision).
  • Workplace perks (e.g., home office setup stipend).
  • Generous 401k matching.
  • Flexible vacation policy.
  • Paid parental leave (4+ months).
  • Family planning support.
  • Paid volunteer time off.

Compensation

  • Base Salary Range: $230,000β€”$322,000 USD
  • Eligible for equity (RSUs).
  • Potential for commission depending on the position.

Equal Opportunity Employer

Reddit is committed to building a diverse workforce and provides reasonable accommodations for individuals with disabilities during the application process.

Apply Now

This job is active but will expire soon. Click below to apply on the company's website.

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Job Overview

Posted6/15/2026
CategoryAI & Machine Learning
SourceJobsCollider

FAQ

Is this position remote?

The Machine Learning Engineering Manager - Ads Engagement Modeling role is a hybrid opportunity. The location specified is Remote Worldwide.

What is the salary?

The salary is not explicitly stated, but is competitive and based on experience.

How do I apply?

You can apply by clicking the "Apply for this role" button above to submit your application on the hiring website.

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