---
title: 'Senior Software Engineer II (ML Ops), Marketplace at Apartment List'
canonical: 'https://feeny.ai/job/senior-software-engineer-ii-ml-ops-marketplace-apartment-list-within-the-gk5v6cz4hakr'
type: 'job'
last_seen: '2026-09-05'
---

# Senior Software Engineer II (ML Ops), Marketplace at Apartment List

- **Company:** Apartment List
- **Location:** Within the, United States
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-08-21
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.gem.com/apartment-list/am9icG9zdDoWMj3GYH-CbSnQ86QyPJlD

## Job description

## 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.

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.

## What You’ll Do

- 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, real-time data pipelines, 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

## What You’ll Bring

Required

- 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
- 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

## Nice to Have

- Mentorship experience for other engineers
- Experience with search or recommendation systems
- Experience working in an online marketplace.
- Familiarity with real-time systems, particularly in the context of optimizing latency and performance

Here's the Pay Range:

At Apartment List, we carefully consider a variety of factors to determine compensation for each position, including the role, level, and work. The US Total Target Compensation (TTC) for this position is:

- Zone 1: $210,000 - $255,000 TTC (including $189,000 - $229,000 base salary) + equity
- Zone 2: $194,000 - $236,000 TTC (including $175,000 - $212,000 base salary) + equity
- Zone 3: $179,000 - $217,000 TTC (including $161,000 - $195,000 base salary) + equity

This reflects the compensation target for new hire salaries for the position across all US locations. Please note, the compensation details provided do not include benefits and perks that we offer.

We also rely on market indicators along with considering your work location, job related skills, experience and relevant education and training, to determine compensation that is fair and competitive for you. Apartment List will consider paying compensation near the higher of the range in exceptional circumstances, where candidates have the experience, credentials or expertise that would warrant such consideration. It is always our goal to hire exceptional talent and we would be happy to share more about compensation during the hiring process.

## About Apartment List

## Company Overview
- **One-liner**: Apartment List is an AI-powered rental marketplace that matches renters with apartments they’ll love, while providing property managers a complete resident lifecycle platform.
- **Entity Type**: Private (Series D, $179M total funding)
- **Headquarters**: San Francisco, California, United States
- **Founded**: Not publicly available
- **Founders**: Not publicly available

## Core Business
- Primary industry: Internet Marketplace Platforms (rental housing)
- Target customers: B2C (renters) and B2B (property managers, landlords)
- Mission: “Everyone deserves a home they love” — [apartmentlist.com](https://www.apartmentlist.com/about/us)

## Products & Services
- **[Rental Search Platform]**: Free service for renters to search over 7 million apartment units across the U.S., with personalized matchmaking via AI quiz and curated listings. Type: Marketplace / SaaS.
- **[Resident Lifecycle Platform]**: AI-powered tools for leasing, engagement, and retention, including virtual leasing assistant (acquired Diffe.rent). Type: B2B SaaS.
- **[Home Bridge Connect]**: Social impact program providing free housing nights to families in crisis. Type: Non-profit initiative.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Annual revenue of $40M; total funding of $179M across 7 rounds — [linkedin.com](https://www.linkedin.com/company/apartment-list)
- **Notable Investors/Partners**: Celebrity investors including Lizzo, Priyanka Chopra Jonas, Andre Iguodala, Alex Rodriguez, and Daryl Morey — [apartmentlist.com](https://www.apartmentlist.com/about/us)
- **Growth Signals**: 41M renters matched to date; 7M apartment units listed; headcount grew 8.8% YoY to 250 employees; acquired Diffe.rent (AI leasing assistant); transitioned to virtual-first company in 2020 — [apartmentlist.com](https://www.apartmentlist.com/about/us), [linkedin.com](https://www.linkedin.com/company/apartment-list)

## Competitive Advantages
- **AI‑powered personalization**: Proprietary matching algorithm creates a “Perfect Match” for each renter, differentiating from standard classified listings.
- **Scale**: Largest free rental search platform in the U.S. with 7M units and 41M matches.
- **Remote‑first talent pool**: Virtual-first model allows hiring across 142 cities, 32 states, and 2 countries, enabling access to diverse talent.
- **Social impact**: Home Bridge program and DEI advocacy build brand loyalty and employee engagement.

## Strategic Focus
- Transitioning from a standard ILS (Internet Listing Service) to a full marketplace model.
- Expanding AI capabilities across the resident lifecycle (leasing, engagement, retention).
- Deepening partnerships with property managers and growing inventory.
- Maintaining a virtual-first culture to attract top talent nationally.

## Why Work Here
- **Work model**: 100% remote (virtual-first) with optional in‑person meetups. Employees live across 142 cities and 32 states — [apartmentlist.com](https://www.apartmentlist.com/about/careers)
- **Culture**: Named one of Built In’s “100 Best Companies to Work for” in the U.S. (4.6/5 rating). Emphasis on transparency, collaboration, and empowerment — [apartmentlist.com](https://www.apartmentlist.com/about/careers)
- **Perks**: Unlimited Flexible Time Off (FTO) plus additional paid time off; comprehensive health coverage; annual wellness week; career development & L&D programs; Employee Resource Groups (ERGs) for Black, Women, API, Latinx, and Pride communities — [apartmentlist.com](https://www.apartmentlist.com/about/careers)
- **Engineering culture**: Open roles include Senior Software Engineer, Data Scientist (GenAI), Staff Data Scientist, and Search Infrastructure Architect — [jobs.gem.com](https://jobs.gem.com/apartment-list)

## Sources
1. [apartmentlist.com – Careers page](https://www.apartmentlist.com/about/careers)
2. [apartmentlist.com – About Us](https://www.apartmentlist.com/about/us)
3. [jobs.gem.com – Apartment List open positions](https://jobs.gem.com/apartment-list)
4. [linkedin.com – Apartment List company page](https://www.linkedin.com/company/apartment-list)
5. [apartmentlist.com – Homepage](https://www.apartmentlist.com/)

## Other roles at Apartment List

- [AI Core Product Manager](https://feeny.ai/job/ai-core-product-manager-apartment-list-israel-h4fv83f9c55g) — Israel
- [Director, Lifecycle Marketing](https://feeny.ai/job/director-lifecycle-marketing-apartment-list-within-the-8z30gss5wr73) — Within the, United States
- [Senior Software Engineer II (ML Ops), Marketplace](https://feeny.ai/job/senior-software-engineer-ii-ml-ops-marketplace-apartment-list-within-rsvtyh8zt342) — Within, Canada
- [Senior Associate, Performance Marketing](https://feeny.ai/job/senior-associate-performance-marketing-apartment-list-within-the-6aqffc0mg05y) — Within the, United States
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- [Account Executive - Mountain Plains](https://feeny.ai/job/account-executive-mountain-plains-apartment-list-denver-gpgxngxmrwnc) — Denver, CO
- [Account Executive - Southwest](https://feeny.ai/job/account-executive-southwest-apartment-list-salt-lake-city-mkz4eecyff2f) — Salt Lake City, UT
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