Senior Software Engineer II , Marketplace
Build marketplace search and ranking features while supporting MLOps infrastructure, model deployment, feature stores, and real-time data pipelines. The role requires 5+ years of software engineering or MLOps experience, backend or full-stack expertise, and familiarity with cloud and machine learning tooling.
About the job
Responsibilities
- Build and maintain full-stack features across marketplace products, including search, ranking, and renter-facing UIs.
- Support and extend MLOps infrastructure, including model deployment pipelines, feature stores, real-time data pipelines, and monitoring using Chalk and Vertex AI.
- Collaborate with data scientists to bring models into production reliably and at scale.
- Write clean, well-tested code and participate in code reviews.
- Contribute to technical planning and break complex problems into executable work.
- Identify and address performance, reliability, and scalability issues.
- Communicate progress clearly and surface blockers early.
Requirements
- 5+ years of professional software engineering or MLOps experience, with meaningful backend or full-stack development experience.
- Proficiency in at least one backend language, including Ruby, JavaScript, Go, or Python.
- Exposure to machine learning concepts and interest in software engineering and machine learning.
- Hands-on experience with MLOps tooling such as Vertex AI, MLflow, Kubeflow, or similar.
- Hands-on experience with feature stores such as Chalk or similar.
- Proficiency managing data with SQL and programming languages, with exposure to feature pipelines and A/B testing frameworks.
- Experience using AI tools to improve workflows and reduce feedback loops.
- Experience in cloud environments; GCP preferred, with AWS or Azure also considered.
- Excellent communication, debugging, ownership, and cross-functional collaboration skills.
Nice to Have
- Mentorship experience.
- Experience with search or recommendation systems.
- Experience working in an online marketplace.
- Familiarity with real-time systems and latency or performance optimization.
Compensation and Benefits
- US total target compensation ranges from $145,000 to $207,000, depending on zone, including base salary and equity.
- Zone 1: $171,000–$207,000 total target compensation, including $154,000–$182,000 base salary, plus equity.
- Zone 2: $158,000–$191,000 total target compensation, including $142,000–$168,000 base salary, plus equity.
- Zone 3: $145,000–$176,000 total target compensation, including $130,000–$155,000 base salary, plus equity.
- Medical, dental, and vision coverage with premiums covered for employees and dependents.
- Unlimited flexible time off, company holidays, recharge days, and a holiday break.
- Home office, health and wellness, parental and family leave, fertility, and family-forming support.
- 401(k) plan, homeownership and mortgage savings programs, team events, mentorship, and training.
Skills
Ruby, JavaScript, Go, Python, Vertex Ai, MLflow, Kubeflow, Chalk, Feature Stores, SQL, A/B Testing, GCP, AWS, Azure, Real-Time Systems
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