R
Senior Staff Machine Learning Engineer
Skills
Machine Learning
2 months ago
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Important information
Salary:
$266,000 – $372,400 / year
Location:
United States
Work mode:
Remote
Published on:
17 August 2026
What they need
Who you are
- 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
What the job involves
- As a Senior Staff Machine Learning Engineer, Feed Relevance, you'll drive the development of GenAI-powered recommendations, leveraging Reddit’s unique community landscape, rich conversational data, and dynamic engagement patterns
- Your deep modeling expertise will directly shape the core architectures behind feed ranking, enabling breakthrough personalization for tens of millions of users
- 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
Benefits
- Comprehensive health benefits
- Flexible vacation & Reddit global days off
- Family planning funds & 4+ months paid parental leave
- Personal & professional development funds
- Paid volunteer time off
- Workspace & home office benefits
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