Senior Staff Machine Learning Engineer, Feed Relevance

## About the Role As a Senior Staff Machine Learning Engineer on the Feed Relevance team, you will play a critical role in defining the technical direction for the team and collaborating closely with Product and Engineering leadership to set the strategy. You will be responsible for building scalable, extensible, and highly performant personalization systems that power the main Reddit feeds. This role is a unique opportunity to work on a high-impact project that directly enables Machine Learning Engineers and engineers to quickly iterate and continuously improve the user experience.

The Feed Relevance team is responsible for the end-to-end systems that power personalization and ranking for the main Reddit feeds. As a Senior Staff Machine Learning Engineer, you will be instrumental in delivering on technical initiatives that have significant company-wide impact. You will work with management on goal setting, planning, and de-risking critical projects, and mentor and grow Senior and Staff engineers.

Reddit is a community of communities, built on shared interests, passion, and trust. With 100,000+ active communities and approximately 121 million daily active unique visitors, Reddit is one of the internet's largest sources of information. As a Senior Staff Machine Learning Engineer, you will have the opportunity to work on a project that has the potential to impact millions of users.

## What You Will Do - Deliver on technical initiatives that have significant company-wide impact - Set technical direction for the broader Relevance and Feeds teams at Reddit - Identify opportunities and influence strategy across multiple organizations - Work with management on goal setting, planning, and de-risking critical projects - Mentor and grow Senior and Staff engineers - Create a strong, healthy engineering culture - Collaborate with cross-functional teams such as design, product, business, and data teams to deliver great experiences - Partner with Infra and Platform teams to inform the direction of our core infrastructure - Build for the future of ML at Reddit - Develop and maintain large-scale software systems

## What We Are Looking For - 10+ years of industry experience building systems for relevance-driven products - Subject matter expert in relevance, recommendation, and ML systems - Deep understanding of how to build sustainable software systems at a large-scale engineering organization - Experience in influencing organizations on technical direction and best practices - Experience working with cross-functional teams to deliver great experiences - Strong focus on user experience, usability, scalability, reliability, and quality - High empathy, excellent communication skills, and the ability to find compromise working across the entire engineering organization - Strong understanding of machine learning and software engineering principles

## Nice to Have - Experience with Excel and other data analysis tools - Knowledge of Reddit's technology stack and architecture - Experience working with large-scale datasets and distributed systems - Familiarity with cloud-based infrastructure and containerization

## Benefits and Perks - Comprehensive healthcare benefits and income replacement programs - 401k with employer match - Global benefit programs that fit your lifestyle, from workspace to professional development to caregiving support - Family planning support - Gender-affirming care - Mental health and coaching benefits - Flexible vacation and remote work options - Opportunities for professional growth and development - Access to cutting-edge technologies and tools

- Tip: Make sure to highlight your experience with machine learning and software engineering principles in your resume and cover letter.

• Tip: Be prepared to talk about your experience working with cross-functional teams and influencing technical direction.
• Tip: Showcase your ability to communicate complex technical ideas to non-technical stakeholders.
• Tip: Demonstrate your understanding of Reddit's technology stack and architecture.
• Tip: Be ready to discuss your experience with large-scale datasets and distributed systems.
• Tip: Show your passion for building scalable, extensible, and highly performant personalization systems.
• Tip: Highlight your experience with Excel and other data analysis tools.