Engineering Manager - ML Feature Platform
Location: This role is completely remote-friendly. If you happen to live close to one of our physical office locations, our doors are open for you to come into the office as often as you'd like.
The role and the team: As Engineering Manager, ML Feature Platform, you’ll lead the team building and scaling the core feature store that powers machine learning across Reddit. From Feeds Ranking and Recommendations to Ads and Content Understanding, you'll lead the platform that enables ML engineers to compute, store, and serve the features behind Reddit’s most critical systems — directly shaping how hundreds of millions of users discover content and connect with communities.
What You’ll Do:
Lead the design and long-term evolution of Reddit’s ML Feature Store and Feature Engineering infrastructure
Drive high-impact, high-leverage projects that align with Reddit’s broader engineering and business goals
Build and grow a high-performing team, including hiring, mentoring, and creating a culture of technical excellence
Establish and champion best practices for the production, consumption, and governance of machine learning features
Partner with AI Serving, ML Training, and Infrastructure teams to generate step-function change in ML capabilities at Reddit
Who You Might Be:
2+ years of experience in people management
7+ years of work experience in a production software development environment
Strong focus on scalability, reliability, performance, and ease of use. You are an undying advocate for platform users and have a deep intuition for the machine learning development lifecycle.
Experience working on large-scale ML Systems serving 100s of millions of users
Experience building feature stores and feature engineering infrastructure
Experience developing applications using large-scale open source data stacks in production, e.g, Kafka, Flink, Cassandra, Redis, and Ray a huge plus
Strong organizational & communication skills
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
#LI-DB1 #LI-Remote
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 - ML Feature Platform
Location: This role is completely remote-friendly. If you happen to live close to one of our physical office locations, our doors are open for you to come into the office as often as you'd like.
The role and the team: As Engineering Manager, ML Feature Platform, you’ll lead the team building and scaling the core feature store that powers machine learning across Reddit. From Feeds Ranking and Recommendations to Ads and Content Understanding, you'll lead the platform that enables ML engineers to compute, store, and serve the features behind Reddit’s most critical systems — directly shaping how hundreds of millions of users discover content and connect with communities.
What You’ll Do:
Lead the design and long-term evolution of Reddit’s ML Feature Store and Feature Engineering infrastructure
Drive high-impact, high-leverage projects that align with Reddit’s broader engineering and business goals
Build and grow a high-performing team, including hiring, mentoring, and creating a culture of technical excellence
Establish and champion best practices for the production, consumption, and governance of machine learning features
Partner with AI Serving, ML Training, and Infrastructure teams to generate step-function change in ML capabilities at Reddit
Who You Might Be:
2+ years of experience in people management
7+ years of work experience in a production software development environment
Strong focus on scalability, reliability, performance, and ease of use. You are an undying advocate for platform users and have a deep intuition for the machine learning development lifecycle.
Experience working on large-scale ML Systems serving 100s of millions of users
Experience building feature stores and feature engineering infrastructure
Experience developing applications using large-scale open source data stacks in production, e.g, Kafka, Flink, Cassandra, Redis, and Ray a huge plus
Strong organizational & communication skills
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
#LI-DB1 #LI-Remote
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