Senior Software Engineer

Summary

Join Reddit's Machine Learning Platform team as a Senior Software Engineer and play a pivotal role in architecting, implementing, and maintaining the foundational ML infrastructure. You will build feature stores, develop tools for MLEs and DSs, and lead the development and maintenance of the ML Feature Store. Collaborate with engineers across the platform and contribute to advancing the ML Platform. Work with management on team goals and mentor team members in DevOps. This fully remote-friendly position requires 4-6+ years of experience in production software development, expertise in large-scale ML systems, and experience with feature stores and feature engineering infrastructure.

Requirements

• 4-6+ years of work experience in a production software development environment
• Experience working on large-scale ML Systems serving 100s of millions of users
• Experience building feature stores and feature engineering infrastructure
• 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 open source data stack, e.g, Kafka, Flink, Cassandra, Redis
• Comfortable with distributed systems, big data (Petabyte scale) and data-intensive systems
• Strong organizational & communication skills

Responsibilities

• Architect, implement, and maintain foundational ML infrastructure used to compute, store and retrieve features powering Feeds Ranking, Content Understanding, Recommendations, Ads, and more
• Build feature stores for online inference and model training
• Build tools that enable machine learning engineers (MLEs) and data scientists (DSs) to improve the ML feature software development lifecycle
• Lead the building, testing, and maintenance of the ML Feature Store and Feature Engineering infrastructure
• Work with other engineers across ML Platform and Reddit infrastructure to significantly advance 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 infra components and services health and quality

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
• Medical, dental, and vision insurance
• 401(k) program with employer match
• Generous time off for vacation
• Parental leave