Senior Staff Machine Learning Engineer, Feed Relevance

• →Deliver on technical initiatives that have significant company-wide impact
• →Set technical direction for the broader Relevance and Feeds teams at Reddit, able to identify opportunities and influence strategy across multiple orgs
• →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

• 10+ years of industry experience building systems for relevance driven products
• Subject matter expert in relevance, recommendation, and ML systems; able to solve complex problems in these domains that few others can 
• Deep understanding of how to build sustainable software systems at a large scale engineering organization
• Experience in influencing organizations on technical direction/best practices
• Experience working with cross-functional teams such as design, product, business & data teams to deliver great experiences.
• Strong focus on user experience, usability, scalability, reliability and quality. You are an undying advocate for the user, and you have a deep intuition for how people & machines interact with software at scale.
• High empathy, excellent communication skills, and the ability to find compromise working across the entire engineering org.

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.

To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.