Engineering Manager - Notifications Relevance
The Notifications Relevance Team focuses on delivering the right content to the right user at the right time through push, email, and in-app notifications. Our systems and algorithms operate on the world's largest corpus of human conversation, connecting Redditors with what matters - whether it’s recommending similar posts and subreddits, surfacing conversations they’ll care about, or introducing communities they didn’t know they needed.
We are looking for an Engineering Manager to lead our Notifications Relevance team, shaping the future of Notifications at Reddit. In this role, you will lead a team of machine learning engineers dedicated to advancing our current Notifications Relevance systems. This is a high-impact team driving DAU growth and long-term user retention by connecting users to what matters most to them.
If applying ML / AI in production to improve the relevance of Reddit Notifications excites you, then you’ve found the right place.
What You’ll Do
Lead the team that architects and designs notifications relevance at Reddit.
Guide team on holistic, adaptive systems covering budgeting optimization, candidate retrieval, and ranking.
Work with ML engineers to design, implement, and optimize machine-learning models that drive personalization and user re-engagement.
Participate in the full development cycle: design, develop, QA, experiment, analyze, and deploy.
Build and maintain a diverse team that can collaborate across disciplines to find technical solutions to complex challenges.
Serve as a thought partner to product and upper management to ensure your team’s plans align with company goals.
Communicate your team’s work and set expectations with cross-functional stakeholders.
Help your engineers identify career goals and create development plans to achieve them.
Constantly seek opportunities to push your engineers & managers outside their comfort zone and turn followers into leaders.
You Have:
2+ years of experience building and managing engineering teams.
5+ years of experience as a Machine Learning Engineer or Software Engineer working on large-scale machine learning systems.
Deep understanding of building and deploying large-scale recommender systems (retrieval + ranking) in production.
Hands-on experience working with deep learning models, sequential features and real-time systems.
Experience with distributed training and inference using tools like Ray, PyTorch Distributed, or similar.
Familiarity with reinforcement learning or multi-objective optimization in recommendation systems.
Entrepreneurial and self-directed, innovative, results-oriented, biased towards action in fast-paced environments.
Able to communicate and discuss complex topics with technical and non-technical audiences.
Able to tackle ambiguous and undefined problems.
Benefits:
Comprehensive Healthcare Benefits and Income Replacement Programs
401k Match
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Reddit Global Days off
Generous paid Parental Leave
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. To learn more, please visit https://www.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
About the job
Apply for this position
Engineering Manager - Notifications Relevance
The Notifications Relevance Team focuses on delivering the right content to the right user at the right time through push, email, and in-app notifications. Our systems and algorithms operate on the world's largest corpus of human conversation, connecting Redditors with what matters - whether it’s recommending similar posts and subreddits, surfacing conversations they’ll care about, or introducing communities they didn’t know they needed.
We are looking for an Engineering Manager to lead our Notifications Relevance team, shaping the future of Notifications at Reddit. In this role, you will lead a team of machine learning engineers dedicated to advancing our current Notifications Relevance systems. This is a high-impact team driving DAU growth and long-term user retention by connecting users to what matters most to them.
If applying ML / AI in production to improve the relevance of Reddit Notifications excites you, then you’ve found the right place.
What You’ll Do
Lead the team that architects and designs notifications relevance at Reddit.
Guide team on holistic, adaptive systems covering budgeting optimization, candidate retrieval, and ranking.
Work with ML engineers to design, implement, and optimize machine-learning models that drive personalization and user re-engagement.
Participate in the full development cycle: design, develop, QA, experiment, analyze, and deploy.
Build and maintain a diverse team that can collaborate across disciplines to find technical solutions to complex challenges.
Serve as a thought partner to product and upper management to ensure your team’s plans align with company goals.
Communicate your team’s work and set expectations with cross-functional stakeholders.
Help your engineers identify career goals and create development plans to achieve them.
Constantly seek opportunities to push your engineers & managers outside their comfort zone and turn followers into leaders.
You Have:
2+ years of experience building and managing engineering teams.
5+ years of experience as a Machine Learning Engineer or Software Engineer working on large-scale machine learning systems.
Deep understanding of building and deploying large-scale recommender systems (retrieval + ranking) in production.
Hands-on experience working with deep learning models, sequential features and real-time systems.
Experience with distributed training and inference using tools like Ray, PyTorch Distributed, or similar.
Familiarity with reinforcement learning or multi-objective optimization in recommendation systems.
Entrepreneurial and self-directed, innovative, results-oriented, biased towards action in fast-paced environments.
Able to communicate and discuss complex topics with technical and non-technical audiences.
Able to tackle ambiguous and undefined problems.
Benefits:
Comprehensive Healthcare Benefits and Income Replacement Programs
401k Match
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Reddit Global Days off
Generous paid Parental Leave
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. To learn more, please visit https://www.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