Lead Engineer, Discover
Circle
Published on
Location: Remote
Work Model: Remote
Job Type: Full-time
Salary: $250,000-$300,000 USD
Skills: Machine Learning Data Engineering ML Recommendations System Design Backend AI AWS Go Rust
Description
About the role
We’re building something game-changing at Circle: a discovery marketplace where millions can find creators, communities, and products to help them achieve their highest personal and professional goals. You’ll own the recommendation engine behind the feed and marketplace for Discover. Think of a Pinterest, Reddit or Instagram-style product, reimagined with a mission to help people achieve their goals instead of distracting them with endless doom scrolling. Through Discover, you will be building technology that could help millions of people grow, self-actualize, and live their best lives.
What you’ll be doing
- Leading a small, senior team of engineers to build the discovery feed — the core recommendations engine that powers how consumers find creators, products, and communities that help them grow.
- Partnering closely with Circle’s CEO and co-founders to execute on a vision that redefines discovery in the creator economy.
- Designing, implementing, and iterating on large-scale ML systems, from embeddings and ranking models to experimentation frameworks, to reach product/market fit.
- Owning the technical roadmap for the feed: balancing speed, reliability, and long-term architectural bets.
- Using data, experimentation, and engineering intuition to make fast, high-quality decisions that unlock transformational consumer experiences.
- Obsessing over the craft, quality, and performance of the algorithms that turn Circle Discover into a household name.
What you’ll need to be successful
- 5+ years of hands-on software engineering experience, with at least 2+ years focused on machine learning, data, or recommendation systems.
- Experience building or scaling feeds, ranking systems, or large-scale consumer-facing ML products.
- Strong proficiency in backend and data engineering skills — from system design to productionizing ML models.
- Deep understanding of consumer app dynamics and what drives product/market fit in discovery and recommendation experiences.
- The curiosity and drive to learn fast, experiment aggressively, and thrive in a highly dynamic environment.
- Comfortable in a fast-paced environment with a certain level of ambiguity, especially when learning and picking up new technologies when projects require it.
- Strong alignment with our values, find our values on our career page if you haven’t read up on them yet.
- You are proficient in English (spoken, written, and reading) at a CEFR Level C2 / ILR Level 5.