Senior Software Development Engineer

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Logo of Zillow

Zillow

5001 - 10000 employees

Founded 2006

🏠 Real Estate

🛍️ eCommerce

👥 B2C

💰 $4.1M Post-IPO Equity on 2012-12

Real Estate • eCommerce • B2C

Zillow is a leading real estate and property rental marketplace that provides comprehensive information on homes, apartments, and properties for sale or rent. It offers users tools to search for properties, calculate mortgage rates, and connect with real estate agents. The platform also features innovative algorithms that provide Zestimates, which are estimated market values of homes. Zillow is a go-to resource for individuals looking to buy, sell, or rent properties, as well as for agents and brokers who want to reach a wider audience.

📋 Description

• Design, build, and scale evaluation frameworks for Zillow’s agentic AI experiences • Build tracing, observability, and quality measurement systems for production AI agents • Create platform infrastructure enabling domain teams across Zillow to build on the Evals platform without bottlenecks • Partner with applied scientists and machine learning engineers to integrate new AI evaluation capabilities into production systems • Evolve how Zillow measures AI quality, reliability, trustworthiness, and product impact • Stay current with emerging agentic AI paradigms, evaluation techniques, and LLM tooling and translate them into platform innovation • Support scaling, reliability, performance optimization, incident response, and cost management for the evaluation layer • Apply first-principles thinking to ambiguous problems and iterate quickly on novel solutions • Design, ship, and operate scalable production ML services • Evaluate third-party AI platforms and make build-versus-buy decisions for platform infrastructure • Collaborate across applied science, ML, product, design, and engineering

🎯 Requirements

• 4+ years of backend engineering experience designing, shipping, and operating scalable production ML services • Experience building platform infrastructure or developer-facing services consumed by multiple teams • Experience with APIs, user experience, reliability, and internal customers • Hands-on experience with ML Evals and observability frameworks such as Databricks MLflow, LangSmith, Braintrust, or Promptfoo • Experience evaluating third-party AI platforms and making principled build-versus-buy decisions • Fluency working across applied science, ML, product, design, and engineering • Comfort with LLMs, agentic systems, and evaluation frameworks • Familiarity with orchestration tools such as LangChain, LangGraph, or MCP • Experience using AI-assisted development tools • Strong ownership and a growth mindset • Advanced degree in Computer Science, Machine Learning, or related field, or equivalent practical experience building products using frontier LLMs, multimodal models, or agent-based systems (preferred) • Experience designing and operating evaluation pipelines, including offline batch evaluations, online scoring, cost/latency/signal tradeoffs, and connecting user signals to training data (preferred)

🏖️ Benefits

• Equity awards based on factors such as experience, performance and location • Flexible distributed work model through Zillow's Cloud HQ • Work from a physical location of choice • Inclusive, innovative, and engaging culture • Employees empowered to grow • Equal employment opportunity • Disability or special-needs accommodation • Consideration of qualified applicants with arrest or conviction records in accordance with applicable state and local law

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