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 ,+ active communities and approximately M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information.
For more information, visit .
Location :
This role is. 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.
Team Description :
The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams.
Role Description :
As a Software Engineer, Machine Learning Platform, this person will be instrumental in architecting, implementing, and maintaining foundational Machine Learning (ML) infrastructure that powers Feeds Ranking, Content Understanding, Recommendations and much more to fulfill Reddit’s mission of bringing community and belonging to everyone in the world.
This person will specifically have major impact on the Feature Store / Data Engineering side of the ML Platform! You will build systems and tools that enable machine learning engineers (MLEs) and data scientists (DSs) and continuously improve the ML software development lifecycle.
- Lead the building, testing, and maintenance of ML infrastructure at Reddit, specifically on the Feature Store
- Propose, design, and implement high-performance ML platform solutions that significantly advance the deployment of models that serve millions of redditors a seamless experience for MLEs
- Design and implement solutions that significantly advance the architecture of the ML Platform
- Work with management on team goal setting, planning, and de-risk project execution
- Mentor other team members in adopting a rigorous DevOps approach to maintain and / or improve ML platform components and services health and quality
Responsibilities :
- Contribute to the building, testing, and maintenance of ML infrastructure at Reddit
- Propose, design, and implement high-performance ML platform solutions that significantly advance the deployment of models that serve millions of redditors a seamless experience for MLEs
- Design and implement solutions that significantly advance the architecture of the ML Platform
- Work with management on team goal setting, planning, and de-risk project execution
- Mentor other team members in adopting a rigorous DevOps approach to maintain and / or improve ML platform components and services health and quality
Required Qualifications :
- years of work experience in a production software development environment
- Experience working on large-scale ML Systems
- Experience building production-quality code incorporating testing, evaluation, and monitoring using object-oriented programming, including experience in Python, Scala, and golang.
- Experience with Kubernetes
- Knowledge of maintaining or developing applications using large-scale data stack, e.g, BigQuery, GraphQL, Kafka, Flink, Cassandra, Redis
- Comfortable with distributed systems, big data (Petabyte scale) and data-intensive systems
Benefits :
- Comprehensive Healthcare Benefits
- k Matching
- Workspace benefits for your home office
- Personal & Professional development funds
- Family Planning Support
- Flexible Vacation (please use them!) & Reddit Global Wellness Days
- months paid Parental Leave
- Paid Volunteer time off
LI-DB LI-Remote
Pay Transparency :
This job posting may span more than one career level.
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 : $, $, USD
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