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Apartment ListApartment ListUnited States

Senior Software Engineer II , Marketplace

Build and maintain full-stack marketplace features (search, ranking) while supporting ML Ops infrastructure, model deployment pipelines, and feature stores on Chalk and Vertex AI. Requires 5+ years software engineering or MLOps experience with backend/full-stack proficiency and ML exposure.

145k – 207k/yr
Remote5+ YOEML Engineering

About the role

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 (Ruby, JavaScript, Go, Python).
  • Exposure to ML concepts and an interest in working at the boundary of software engineering and machine learning.
  • 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.

Compensation

US Total Target Compensation (TTC):

  • Zone 1: $171,000 - $207,000 TTC ($154,000 - $182,000 base) + equity
  • Zone 2: $158,000 - $191,000 TTC ($142,000 - $168,000 base) + equity
  • Zone 3: $145,000 - $176,000 TTC ($130,000 - $155,000 base) + equity

Benefits for full-time US employees include 100% covered medical/dental/vision for you and dependents, unlimited FTO + holidays, home office and wellness reimbursements, parental support, 401k, and more.

Skills

PythonGoRubyJavaScriptSQLvertex aichalkMLflowkubeflowGCPAWSfeature storesA/B TestingKubernetes

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