Apartment List

5 days ago

Senior Software Engineer II (ML Ops), Marketplace

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Build full-stack marketplace features (search, ranking, and renter-facing UI) while supporting ML Ops infrastructure that powers model deployment pipelines, feature stores, real-time data pipelines, and monitoring. Collaborate with data scientists to bring models into production reliably and at scale. Own the quality of production code through testing, code reviews, technical planning, and performance/reliability/scalability improvements across a globally distributed team.

Location: Canada

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Build and maintain full-stack features across marketplace products, including search, ranking, and renter-facing UI.
•Support and extend ML Ops infrastructure such as model deployment pipelines, feature stores, real-time data pipelines, and monitoring (primarily Chalk and Vertex AI).
•Collaborate with data scientists to bring models into production reliably and at scale.
•Write clean, well-tested code, participate in code reviews, and contribute to technical planning by breaking down complex problems into executable work.
•Identify and address performance, reliability, and scalability issues, communicating progress and surfacing blockers early.

Pay and Benefits

Salary: USD 129,000 - 174,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVisionPaid Leave401kHome OfficeWellness StipendParental Leave

Key Requirements

•5+ years of professional software engineering or ML Ops experience with meaningful backend or full-stack development work.
•Proficiency in at least one backend language (Ruby/Javascript, Go, or Python).
•Hands-on ML Ops experience with Vertex AI and tools such as MLflow or Kubeflow.
•Hands-on experience with feature stores, including Chalk or similar.
•Strong data skills using SQL and programming languages, with exposure to feature pipelines and A/B testing; plus cloud experience (GCP preferred).

Experience:ML OpsMachine learningOnline marketplaceCloud

Skills:CommunicationDebuggingOwnershipCollaboration

Tech Stack:RubyJavaScriptGoPythonVertex AIMLflowKubeflowChalkSQLA/B testingGCPAWSAzure

Company Brief

Apartment List

Operates an online rental marketplace that matches renters with apartments through personalized search, listings aggregation, and rental tools. Provides neighborhood guides, pricing insights, and resources to simplify apartment hunting and leasing.

Industry: PropTech

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Headquarters: San Francisco, United States

Founded: 2011

Website LinkedIn

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Apartment List

5 days ago

Senior Software Engineer II (ML Ops), Marketplace

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Location: Canada

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Build and maintain full-stack features across marketplace products, including search, ranking, and renter-facing UI.
•Support and extend ML Ops infrastructure such as model deployment pipelines, feature stores, real-time data pipelines, and monitoring (primarily Chalk and Vertex AI).
•Collaborate with data scientists to bring models into production reliably and at scale.
•Write clean, well-tested code, participate in code reviews, and contribute to technical planning by breaking down complex problems into executable work.
•Identify and address performance, reliability, and scalability issues, communicating progress and surfacing blockers early.

Pay and Benefits

Salary: USD 129,000 - 174,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVisionPaid Leave401kHome OfficeWellness StipendParental Leave

Key Requirements

•5+ years of professional software engineering or ML Ops experience with meaningful backend or full-stack development work.
•Proficiency in at least one backend language (Ruby/Javascript, Go, or Python).
•Hands-on ML Ops experience with Vertex AI and tools such as MLflow or Kubeflow.
•Hands-on experience with feature stores, including Chalk or similar.
•Strong data skills using SQL and programming languages, with exposure to feature pipelines and A/B testing; plus cloud experience (GCP preferred).

Experience:ML OpsMachine learningOnline marketplaceCloud

Skills:CommunicationDebuggingOwnershipCollaboration

Tech Stack:RubyJavaScriptGoPythonVertex AIMLflowKubeflowChalkSQLA/B testingGCPAWSAzure

Company Brief

Apartment List

Industry: PropTech

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Headquarters: San Francisco, United States

Founded: 2011

Website LinkedIn