Senior Software Engineer II, Marketplace

Apartment List

12h•Remote

About The Position

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 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.

Requirements

5+ years of professional software engineering 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 a data scientist, but you should be comfortable in that world.
Experience with a balanced approach using AI tools – improving workflows, reducing feedback loops
Experience working in cloud environments (GCP preferred; AWS or Azure also considered)
Excellent communication skills as well as debugging instincts with an ownership mindset
Ability to collaborate effectively across time zones and with cross-functional partners
Mentorship experience for other engineers

Nice To Haves

Hands-on experience with ML Ops tooling—Vertex AI, MLflow, Kubeflow, or similar
Familiarity with feature pipelines, model deployment, or A/B experimentation infrastructure
Experience with search or recommendation systems
Experience working in an online marketplace

Responsibilities

Build and maintain full-stack features across our marketplace products, including search, ranking, and renter-facing UI
Support and extend ML Ops infrastructure—including model deployment pipelines, feature stores, and monitoring—primarily on Chalk and Vertex AI
Collaborate with data scientists to bring models into production reliably and at scale
Write clean, well-tested code and participate actively in code reviews
Contribute to technical planning and help break down complex problems into well-scoped, executable work
Identify and address performance, reliability, and scalability issues in existing systems
Communicate progress clearly and surface blockers early