Senior Software Development Engineer

🔥 6 horas atrás

🏄 California, Colorado, +15 estados a mais – Remoto

🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🌺 Hawaii – Remote 🌽 Illinois – Remote 🦞 Maine – Remote 🎰 Nevada – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🏈 Ohio – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote ❄️ Minnesota – Remote ⚓ Rhode Island – Remote 🍁 Vermont – Remote ⚔️ Virginia – Remote ☕ Washington – Remote

💵 $160.900 - $257.100 / ano

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

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Zillow

SiteLinkedInTodas as Vagas

5001 - 10000 funcionários

Fundada em 2006

🏠 Imobiliário

🛍️ Comércio Eletrônico

👥 B2C

💰 $4.099.999 Post-IPO Equity em 2012-12

Real Estate • eCommerce • B2C

A Zillow é um marketplace líder de compra, venda e aluguel de imóveis, oferecendo informações completas sobre casas, apartamentos e propriedades à venda ou para alugar. Ela disponibiliza ferramentas para buscar imóveis, calcular taxas de financiamento imobiliário e conectar-se a corretores de imóveis. A plataforma também conta com algoritmos inovadores que geram Zestimates, estimativas de valor de mercado de imóveis. A Zillow é uma referência para quem deseja comprar, vender ou alugar, assim como para corretores de imóveis e imobiliárias que querem alcançar um público mais amplo.

Descrição

• 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

🎯 Requisitos

• 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)

🏖️ Benefícios

• 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