As a Staff Machine Learning Engineer, ML Efficiency at reddit, you are driving the development of scalable and efficient machine learning infrastructure that powers the platform's ranking and recommendation systems. This critical role entails collaborating with cross-functional teams to design, implement, and optimize ML models, ensuring seamless user experiences across the site. By joining reddit, you are contributing to the success of one of the world's largest online communities, with over 430 million monthly active users. The impact of this position is significant, as you will be working on complex problems that affect millions of users, with ample opportunities for growth and advancement within the company. As a key member of the ML team, you are shaping the future of content discovery and community engagement, with a scope that extends to influencing industry trends and standards.

Your day-to-day responsibilities include designing and implementing efficient ML architectures, optimizing model performance, and analyzing system bottlenecks. Key areas of focus include:

• Developing and maintaining large-scale ML infrastructure, with a focus on scalability and reliability


• Collaborating with data scientists to design and implement ranking models that drive user engagement


• Performing in-depth performance analysis and tuning of ML models to ensure optimal efficiency


• Writing high-quality, maintainable code in Python, with a focus on modularity and reusability


• Working closely with the engineering team to integrate ML models into the production pipeline


• Staying up-to-date with industry trends and advancements in ML, and applying this knowledge to drive innovation within the team


• Mentoring junior engineers and contributing to the growth and development of the ML team. You will be reporting to the Engineering Manager, ML Efficiency, and working closely with a talented team of engineers, data scientists, and researchers to drive the development of reddit's ML capabilities.

By joining reddit as a Staff Machine Learning Engineer, ML Efficiency, you are becoming part of a company that values innovation, creativity, and community. You will be working in a remote-friendly environment, with a team that is passionate about using