Staff Software Engineer, ML Search
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.
What this role actually needs.
Staff Software Engineer, ML Search at Reddit in Remote (United States). UpJobz keeps this listing high-signal for applicants targeting serious high-tech roles across the United States, Canada, and Mexico. 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.
Day-to-day expectations
A clear list of the work this role is designed to cover.
- Own pipelines and DAGs that move data, features, embeddings, and models through the ML lifecycle
- Design/maintain ranking and retrieval services that run models in real-time
- Build scalable model-serving APIs, ensuring reliability, efficiency, and performance
- Create reusable infrastructure that other MLEs depend on to train, deploy, and iterate on models
- Ensure pipelines and systems support high scale, low latency, and operational excellence
- E nable modeling with better systems, features, and deployment pathways
What a strong candidate brings
This keeps the job page specific, readable, and easier to match.
- 8+ years of industry experience with a focus on search and recommendation systems.
- 6+ years of experience in designing, building and iterating large-scale search relevance and infrastructure systems, handling end-to-end system development.
- Proven track record in delivering large and complex systems with big business impacts.
- Knowledge and experience working with search systems (e.g. Lucene, Solr, ElasticSearch, Opensearch etc.).
- Demonstrated expertise at cross-functional collaboration - successfully shipped several large-scale projects with complex dependencies across teams.
- Proficient in object-oriented programming (Python, Golang).
Why people would want this job
Benefits help searchers understand whether the role is a real fit before they apply.
- 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 & Coaching Benefits
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Next moves
- Tailor your resume around ai and machine-learning instead of sending a generic application.
- Use the first two bullets of your application to connect your background directly to staff software engineer, ml search is a high-signal remote role in remote (united states), and it is most realistic for united states residents.
- Open the role quickly if it fits and bookmark three similar jobs before you leave the page.
Interview themes
Watchouts
- Compensation is hidden, so get range clarity in the first recruiter conversation.
- Use united states residents as part of your positioning so the recruiter does not have to infer it.
- Lead with distributed collaboration, async delivery, and timezone discipline.
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