**Who this is for** This role is for a seasoned machine learning engineer looking to own 0→1 development of ranking and personalization systems within Reddit’s
Work type: remote
Location: Remote - United States
Salary: $230,000 – $322,000/yr
Type: Full-time
**Who this is for** This role is for a seasoned machine learning engineer looking to own 0→1 development of ranking and personalization systems within Reddit’s Developer Platform, impacting how users discover apps and games. **Key highlights** You will lead the technical strategy for ranking models, working cross-functionally to design end-to-end ML systems—from signal definition and model training to experimentation and deployment—while mentoring a growing team of engineers. **You might be a good fit if you...** - Have 8+ years of experience building large-scale distributed or ML-driven systems. - Proficient in object-oriented programming (Go, Python, or C++). - Can own technical problems end-to-end, including architectural design and experimentation. - Value collaborative environments and want to shape long-term product-aligned ranking strategies.
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 121 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit [www.redditinc.com](http://www.redditinc.com/).
The Developer Platform team is building the future of Reddit: a future where third-party developers, moderators and everyday redditors can invent and ship brand-new apps, games and tools that create entirely new ways for communities to play, connect and get things done at reddit. We power everything from interactive custom posts and daily games to mod tooling and data products, giving builds the primitives they need to create entirely new kinds of experiences on Reddit.
Within Developer Platform, our Growth teamfocuses on helping redditors discover the right apps and games at the right time through ranking, notifications, and cross‑surface entry points, directly moving the needle on engagement and DAU for Dev Platform experiences. You’ll work end‑to‑end with a highly collaborative, cross‑functional group of engineers, PMs, designers, and data scientists who value impact, personal growth, openness, and kindness, and who ship quickly while holding a high bar for reliability and performance across Reddit’s web, mobile, and backend stack.
## How You'll Have Impact
We are looking for a Staff Machine Learning Engineer, Developer Platform to build the ranking and personalization systems that connect redditors with their next favorite game or app on Reddit. You will work closely with Product, Backend, Data Science, and Core Ranking/ML Platform teams to design and ship best-in-class ranking, retrieval, and experimentation systems that power discovery and re-engagement for Dev Platform experiences across feeds, surfaces, and notifications.
You will own problems end-to-end from framing objectives and defining signals, to training and deploying models, to designing experiments and reading results—not just tuning existing knobs on mature systems. You’ll help define the ranking strategy for Developer Platform, stand up new ML models and feedback loops where none exist today, and turn noisy behavioral data into clear wins for users, creators, and developers.
This is a high-impact, 0→1 role where your work will directly shape how interactive apps and games show up on one of the largest sites in the world. You’ll set technical direction for Dev Platform ranking, raise the bar on relevance and system reliability, and mentor other engineers as we scale a team of builders who value impact, personal growth, openness, and kindness.
Languages: Go, Python, C++ or any object oriented programming language
Libraries: Baseplate, GraphQL
Databases: Redis, Postgres, Memcached
Tools: Kubernetes, AWS
Tools: Kubernetes, Docker, AWS, GCP
## What You’ll Do