# Senior Software Engineer II , Marketplace

**Company:** [Apartment List](https://hotfix.jobs/companies/apartment-list)
**Location:** Remote
**Role:** ML Engineering
**Salary:** $145k – $207k/yr
**Experience:** 5+ years
**Skills:** Python, Go, Ruby, JavaScript, SQL, vertex ai, chalk, MLflow, kubeflow, GCP, AWS, feature stores, A/B Testing, Kubernetes
**Posted:** 2026-07-16

> 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.

## Job Description

## 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.

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