Drive GenAI-powered recommendations at Reddit, shaping feed ranking for millions of users in a fully remote role.
Posted by employer 1 month ago
First seen on Joblaze 1 month ago
Last verified on the company career page 22 hours ago
Joblaze summary
In the role of Senior Staff Machine Learning Engineer for Feed Relevance at Reddit, the individual will focus on developing advanced GenAI-powered recommendation systems that enhance user engagement across the platform. This position requires extensive experience in machine learning and relevance-driven products, along with a strong ability to influence technical direction within cross-functional teams. Ideal candidates will have a deep understanding of scalable software systems and a commitment to user experience. The role also involves mentoring other engineers and fostering a collaborative engineering culture.
Quick facts
- Is the Senior Staff Machine Learning Engineer, Feed Relevance role remote?
- Yes — Reddit lists this as a fully remote position.
- What's the salary range?
- Reddit lists $266,000–$372,400 for this role.
- How much experience is required?
- At least 10 years of relevant experience for this Senior Staff Machine Learning Engineer, Feed Relevance role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: GenAI, Machine Learning, Recommendation Systems, relevance.
- What seniority level is this role?
- Reddit targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Staff Machine Learning Engineer, Feed Relevance role at Reddit.
From the original posting
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com.
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.
Responsibilities:
- 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
Qualifications:
- 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.
#LI-remote, #LI-JS5
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
Standard company text repeated across Reddit's postings is omitted here.