Apartment List is a smart, simple, and seamless renting platform that’s dedicated to making the process fair and transparent for all. Backed by Glynn Capital Management.
About the role
As a Software Engineer on the Marketplace team, you’ll work at the intersection of full-stack product engineering and machine learning operations—helping power the systems that match renters to homes across ApartmentList.com, Kaleno.com and Sunny.com. You’ll contribute to a range of work: building and maintaining the backend which powers search, supporting ML pipelines and model serving infrastructure, and collaborating closely with data scientists and engineers to bring ML capabilities into production.
What they're looking for
- 5+ years of professional software engineering or ML Ops experience, with meaningful work in backend or full-stack development
- Proficiency in at least one backend language (We use Ruby/Javascript, Go, Python)
- Exposure to ML concepts and an interest in working at the boundary of software engineering and machine learning— you don’t need to be an ML Engineer, but you should be comfortable in that world
- Hands-on experience with ML Ops tooling—Vertex AI, MLflow, Kubeflow, or similar
- Hands-on experience with feature stores — Chalk or similar
- Demonstrated proficiency managing data using SQL and programming languages, with exposure to feature pipelines and A/B testing frameworks
More about this role
Who We Are
At Apartment List, we’re transforming how people rent—making it smarter, easier, and a lot less frustrating. Our platform has already matched over 1.4 million renters with their next home, while helping properties fill units with the right residents. Backed by strong growth and a big vision, we’re building the future of renting—and inviting bold thinkers to help us shape it!
As a Software Engineer on the Marketplace team, you’ll work at the intersection of full-stack product engineering and machine learning operations—helping power the systems that match renters to homes across ApartmentList.com, Kaleno.com and Sunny.com. You’ll contribute to a range of work: building and maintaining the backend which powers search, supporting ML pipelines and model serving infrastructure, and collaborating closely with data scientists and engineers to bring ML capabilities into production.
This is a blended role for an engineer who is comfortable context-switching between product feature work and ML infrastructure, and who is excited to grow their depth in both areas. You’ll work closely with your Engineering Manager, product partners, and a globally distributed team.
- Build and...
Browse similar: AI jobs · AI startup jobs · Startup jobs · Remote jobs