This job post is closed and the position is probably filled. Please do not apply.
π€ Automatically closed by a robot after apply link
was detected as broken.
Description:
The Software Engineer, Machine Learning Platform at Reddit will be responsible for architecting, implementing, and maintaining foundational Machine Learning (ML) infrastructure.
The role involves working on the Feature Store/Data Engineering side of the ML Platform to enable machine learning engineers (MLEs) and data scientists (DSs) to improve the ML software development lifecycle.
Responsibilities include building, testing, and maintaining ML infrastructure, designing and implementing high-performance ML platform solutions, and advancing the architecture of the ML Platform.
The position directly impacts recommendations, content discovery, user and content quantification, and other teams such as Growth, Ads, Feeds, and Core Machine Learning teams.
Requirements:
2+ years of work experience in a production software development environment or building data systems.
1+ years of work experience plus a degree in ML, Engineering, Computer Science, or other relevant discipline.
Experience with design and architecture of large scale ML Systems.
Proficiency in Python, Scala, golang, and building production-quality code incorporating testing, evaluation, and monitoring.
Knowledge of maintaining or developing applications using large-scale data stack like BigQuery, GraphQL, Kafka, Flink, Cassandra, Redis.
Comfortable with distributed systems, big data (Petabyte scale), and data-intensive systems.
Strong organizational and communication skills.
Benefits:
Comprehensive Healthcare Benefits.
401k Matching.
Workspace benefits for your home office.
Personal and Professional development funds.
Family Planning Support.
Flexible Vacation and Reddit Global Wellness Days.