Staff Machine Learning Engineer, Notifications Relevance

Responsibilities:

Tackle various challenging problems, including budgeting optimization, candidate retrieval, and ranking. This involves researching, implementing, improving, testing, and launching new model enhancements to boost user engagement.
Design and implement content discovery algorithms to connect users with the most relevant content.
Develop scalable systems that handle the complexity and volume of Reddit’s vast user base and content, including large-scale data, models, pipelines, and product integration.
Own and drive technical roadmaps, lead day-to-day project execution, and contribute significantly to the team's vision and strategy.
Serve as the primary ML domain expert, influencing technology choices.
Drive architectural decisions and implementation across the engineering organization.
Collaborate with cross-functional partners, including product managers, engineers, and data scientists, to identify opportunities for business impact, understand and prioritize requirements for machine learning systems and data pipelines, and drive engineering decisions while quantifying impact.
Foster a culture that values diverse viewpoints while navigating complex decisions.
Make significant contributions to both immediate wins and long-term objectives through rapid experimentation and iterative processes.
Lead by example to build a culture of craftsmanship and innovation.
Mentor junior engineers.