Posted 3 months ago
Senior Software Engineer II, Marketplace
@ Apartment List
Remote in Canada
Overview
Apartment List is hiring a Senior Software Engineer II for its Marketplace team to build full-stack search, ranking and renter-facing features and to support ML Ops infrastructure on Chalk and Vertex AI. The work spans product engineering and bringing machine learning models into production. Pay is a Canadian total target compensation of $129,000 to $174,000 depending on zone, plus equity, and the role is full-time remote.
Responsibilities:
- Build and maintain full-stack marketplace features
- Support ML Ops infrastructure and model deployment pipelines
- Collaborate with data scientists to bring models into production
- Improve performance, reliability and scalability of systems
- Contribute to code reviews and technical planning
Requirements summary:
- 5+ years of professional software engineering experience
- Proficiency in TypeScript, Python, Go or Ruby
- Exposure to machine learning concepts
- Experience with cloud environments, GCP preferred
- Mentorship experience for other engineers
- Strong communication and debugging skills
Tools & skills
Benefits mentioned
Source and dates
Source type not verified · gem
- Employer posting date
- 2026-08-21
- First seen by our source
- 2026-10-14
- Source record updated
- 2026-10-14
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Experience | 5+ years |
| Hours per week | 40 (estimated) |
| Work setting | Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Perks mentioned | Generous paid time off, Flexible hours, Generous parental leave, Retirement plan, Stock or equity, Wellness, Home office allowance |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Apartment List
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Helping renters find a home they love
Full company description
At Apartment List, renting is personal. We're a company built by renters for renters, dedicated to finding renters a home they love for the value they deserve. With over 6 million rental units on our platform, our technology instantly matches renters to curated apartments to create a highly personalized, guided, and stress-free rental search experience.
- LinkedIn followers
- 19,960
- People associated on LinkedIn
- 521
- Reported office locations
- 548 Market St, PMB 79519, San Francisco, California 94104-5401, US
- Business categories
- Rental Property
- Search Engine
- Marketplace
- Rental
- Real Estate
- Internet & Web Services
- Information Technology
- Other recorded names
- Apartment List
- Specialties
- Apartments
- Data
- Real Estate
- Meta Search
- UI
- marketplace
- rental search
- Multifamily
- Rental Market Research
- and AI
- Profile identifies a recruitment agency
- No
- Reported total investment
- 169,000,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
At Apartment List, renting is personal. We're a company built by renters for renters, dedicated to finding renters a home they love for the value they deserve. With over 6 million rental units on our platform, our technology instantly matches renters to curated apartments to create a highly personalized, guided, and stress-free rental search experience.
| Field | Value |
|---|---|
| Industry | Internet Marketplace Platforms |
| Company size | 201-500 employees |
| Headquarters | San Francisco, California |
| Organization type | Privately Held |
| Specialties | ApartmentsDataReal EstateMeta SearchUImarketplacerental searchMultifamilyRental Market Researchand AI |
| Open jobs on Jobsy | 2 |
| View page |
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!
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 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, 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 experience, with meaningful work in backend or full-stack development
- Proficiency in at least one backend language (We use Typescript, Python, Go, Ruby)
- 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 Have
- 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
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 CAN Total Target Compensation (TTC) for this position is:
- Zone 1: $144,000 - $174,000 TTC (including $129,000 - $153,000 base salary) + equity
- Zone 2: $129,000 - $157,000 TTC (including $116,000 - $138,000 base salary) + equity
This reflects the compensation target for new hire salaries for the position across all CAN 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.
Here's what's in it for you (full-time US based employees only; does not apply to contract roles):
- Competitive Compensation: Including annual salary, pre-IPO stock options, and other financial compensation (if applicable)
- Medical, Dental, and Vision Coverage: 100% of premiums covered for you AND all of your dependents
- Unlimited Flexible Time Off: Unlimited FTO in addition to 12 company holidays per year, quarterly “recharge” days, and a week-long holiday break
- Home Office Reimbursement: To cover home office furniture and supplies, monthly home internet, and monthly cell phone (if applicable)
- Health & Wellness Reimbursement: To cover monthly gym membership or other qualifying expenses
- Parental Support: Generous parental and family leave, fertility benefits, and employer-sponsored stipends towards family forming services
- 401k Plan: To support you in your individual retirement goals
- Homeownership & Mortgage Savings: Access exclusive mortgage rates up to 1% below retail lenders and free 1:1 expert guidance.
- Team Events: Frequent team-building events, fun team off-sites, and bi-annual company meetups
- Commitment to DEI: To prioritize Diversity, Equity, and Inclusion within our workplace and to stay true to our values and mission
- Mentorship and Training: To get you onboard quickly, learn new professional skills, and invest in your career development
- Impact and Visibility: To expose you to and provide the opportunity to work on highly strategic initiatives that will transform the business
- Encouragement and Empowerment: To explore and adopt new technologies and drive meaningful decisions and outcomes
- At Apartment List we believe that everyone deserves a home they love AND a career they love. We strive to build a diverse team that is a reflection of the people we serve; this is made possible through our commitment to fostering a culture of diversity, inclusion, equity, and connectedness.
As a proud equal opportunity employer, we celebrate the collection of individual differences, life experiences, ideas, perspectives, knowledge, and talent. We hire candidates of any race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, Veteran status, and any other status. #LIRemote
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