Machine Learning Engineering Manager - Ads Engagement Modeling

at Reddit
USD 230,000-322,000 per year
MIDDLE
✅ Remote ✅ Hybrid

Used Tools & Technologies

Not specified

Required Skills & Competences

Machine Learning @ 3 TensorFlow @ 5 People Management @ 3 Communication @ 6 PyTorch @ 5 Deep Learning @ 3 AI @ 3

Details

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 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.

The Engagement Modeling Team at Reddit focuses on building machine learning models to drive on-platform user engagement with diverse media and content, with a focus on predictive modeling to improve interactions of click-throughs and video view-throughs. This role offers a unique opportunity to shape and scale Reddit’s Ads prediction models, in alignment with product goals and driving state-of-the-art modeling advancement.

This role is a remote-friendly position open to candidates anywhere in the United States. There are four office locations available for hybrid/onsite work preference in New York City, San Francisco, Los Angeles, and Chicago.

Responsibilities

  • Set Technical Vision and Strategy: Define and execute a roadmap for engagement modeling, balancing innovative modeling approaches with business objectives.
  • Drive Technical Execution: Oversee the model development lifecycle from ideation to deployment, 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, collaboration, 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 tailored to engagement prediction, leveraging deep learning and advanced ML techniques.

Candidate Profile

Ideal candidates will have experience leading ML teams and collaborating across PM, DS, and engineering functions within Ads. Key expectations include:

  • People management experience with emphasis on technical mentorship and team growth.
  • Ability to develop and communicate a clear technical strategy aligned with business objectives.
  • Proven track record driving ML model development from training through large-scale production deployment.
  • Experience implementing and optimizing architectures for engagement or conversion prediction using deep learning and advanced ML techniques.
  • Strong interpersonal and communication skills to present complex technical topics and build relationships with cross-functional partners.

Experience with Ads or engagement modeling is a plus.

Required qualifications

  • At least 2+ years of experience building and managing high-performing machine learning teams (tech lead experience considered).
  • Deep hands-on machine learning expertise with experience training, evaluating, and deploying large-scale production models.
  • End-to-end ML lifecycle experience.
  • 4+ years of hands-on experience with TensorFlow or PyTorch.
  • Strategic thinking and an impact-driven mindset: focus on scalable, well-designed, and responsible AI solutions.
  • Exceptional communication and collaboration skills.

Perks and Benefits

  • 100% remote opportunity (with office locations in New York City, San Francisco, Los Angeles, and Chicago for hybrid/onsite preference).
  • Competitive salary and equity options.
  • Comprehensive health benefits (medical, dental, vision) and workplace perks (home office setup stipend, etc.).
  • Generous 401(k) matching.
  • Flexible vacation policy.
  • Paid parental leave (4+ months) and family planning support.
  • Paid volunteer time off.

Pay Transparency

The base salary range for this position is: $230,000 - $322,000 USD. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units and may be eligible to receive a commission depending on the position offered. Final offers are determined by multiple factors including skills and relevant experience.

Other notes

  • In select roles and locations, interviews may be recorded, transcribed, and summarized by AI; candidates can opt out prior to scheduled interviews.
  • Reddit is an equal opportunity employer and provides reasonable accommodations for qualified individuals with disabilities.