Senior Software Engineer II (ML Ops), Marketplace

Location: Remote within the US

Department: Engineering

Location Type: REMOTE

Employment Type: FULL_TIME

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 (We use Ruby/Javascript, Go, Python)
• Exposure to ML concepts and an interest in working at the boundary of software engineering and machine learning— you don’t need to be an ML Engineer, but you should be comfortable in that world.
• 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

Here's the Pay Range:

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