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 101M+ daily
active unique visitors, Reddit is one of the internet’s largest sources of
information. For more information, visit redditinc.com [http://redditinc.com/].
Reddit is home to thousands of communities, endless conversations, and authentic
human connection. As our advertising business grows, delivering high-quality and
relevant promoted content becomes increasingly critical to both our users and
advertisers. The Engagement Modeling Team is at the heart of this effort. This
team is responsible for building and maintaining machine learning models that
predict and optimize user engagement with ads—ranging from click-through rates
to video views and other media-driven interactions. These models power key
ad-serving decisions that impact user experience, advertiser outcomes, and
Reddit’s long-term business growth.
We are looking for an experienced and strategic Machine Learning Manager to lead
this team. This is a high-impact, high-visibility role ideal for someone with
deep machine learning expertise, a passion for building scalable systems, and
the leadership skills to manage both people and projects in a dynamic,
cross-functional environment.
Responsibilities
- Set Strategy and Vision: Define the technical vision and long-term roadmap
for engagement modeling, aligning cutting-edge ML solutions with Reddit’s
product and business objectives.
- Lead Model Development: Oversee the full ML lifecycle, from data generation
and pipeline architecture to model training, evaluation, and deployment at
scale.
- Drive ML Innovation: Design and implement state-of-the-art deep learning
architectures focused on user engagement, ranking, and recommendation.
- Team Leadership: Build, mentor, and lead a team of talented machine learning
engineers. Foster a culture of technical rigor, innovation, and career
growth.
- Cross-Functional Collaboration: Work closely with product managers, data
scientists, and engineers across the Ads organization to define engagement
goals, model KPIs, and data needs.
- Ensure Model Quality: Maintain high standards for ML performance,
scalability, interpretability, and robustness in a production environment.
Requirements
- Deep Learning Architectures: Proven expertise in building ML models for
ranking, recommendation, or engagement prediction at scale.
- ML Frameworks: Proficiency with mainstream ML libraries such as TensorFlow
and PyTorch.
- Production ML Systems: Experience managing the full ML lifecycle—feature
engineering, training, testing, deployment, and monitoring—in a production
setting.
- Data Infrastructure: Skilled in orchestrating large-scale data pipelines for
training and evaluating ML models.
- Ads Modeling: Background or familiarity with engagement modeling in the ads
domain (e.g., predicting user interaction with promoted content) is a strong
plus.
- Team Management: Experience managing high-performing ML teams, with a focus
on mentorship and team growth.
- ML Experience: Deep hands-on experience working with machine learning models
in large-scale production systems.
- Cross-Functional Leadership: Strong interpersonal skills and a collaborative
mindset. Able to effectively partner with PM, DS, and Ads Engineering teams
to deliver impactful results.
- Strategic Thinking: Ability to develop and communicate a clear technical
strategy that supports broader business objectives.
Benefits:
- Comprehensive Health benefits
- Retirement Savings plan with matching contributions
- Workspace benefits for your home office
- Personal & Professional development funds
- Family Planning Support
- Flexible Vacation & Reddit Global Days Off
LI-Remote
In select roles and locations, the interviews will be recorded, and transcribed
and summarized by artificial intelligence (AI). You will have the opportunity to
opt out recording, transcription and summarization prior to any scheduled
interviews.
During the interview, we will collect the following categories of personal
information: Identifiers, Professional and Employment-Related Information,
Sensory Information (audio/video recording), and any other categories of
personal information you choose to share with us. We will use this information
to evaluate your application for employment or an independent contractor role,
as applicable. We will not sell your personal information or disclose it to any
third party for their marketing purposes. We will delete any recording of your
interview promptly after making a hiring decision. For more information about
how we will handle your personal information, including our retention of it,
please refer to our Candidate Privacy Policy for Potential Employees and
Contractors [https://redditinc.com/policies/candidate-privacy-policy].
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,
due to a disability, you need an accommodation during the interview process,
please let your recruiter know.
