Reddit is looking for an experienced Staff Machine Learning Engineer to join the Notifications Relevance team. The team's mission is to send the right content to the right user at the right time using the right channel (push notification, email digest, and in-app). Leveraging machine learning and large-scale system development, we process hundreds of millions of posts and user activities to provide personalized recommendations for tens of millions of users. The team plays a critical role in driving daily active users (DAU) and enhancing user retention on Reddit.
Responsibilities:
- Tackle challenging problems, including budgeting optimization, candidate retrieval, and ranking
- Design and implement content discovery algorithms
- Develop scalable systems handling Reddit's vast user base and content
- Own and drive technical roadmaps, lead project execution, and contribute to team vision
- Serve as the primary ML domain expert, influencing technology choices
- Drive architectural decisions across the engineering organization
- Collaborate with cross-functional partners to identify opportunities and drive engineering decisions
- Foster a culture of diverse viewpoints and navigate complex decisions
- Make significant contributions through rapid experimentation and iterative processes
- Lead by example to build a culture of craftsmanship and innovation
- Mentor junior engineers
Qualifications:
- 8+ years of post-internship, full-time industry experience
- 6+ years of hands-on experience in building and productionizing end-to-end state-of-the-art ML models at scale
- Deep systems-level understanding of industry-scale recommendation systems
- Proficient in Python, Golang, PyTorch or TensorFlow
- Experience with large-scale data processing & pipeline orchestration tools (big plus)
- Experience in large-scale deep learning recommendation model training (big plus)
- MS or PhD degree in Computer Science or related field
This role is 100% remote, with the option to work flexibly in one of Reddit's office locations.