Zillow
Machine Learning Engineer, Zillow Shopping AI
Vaga remota de Machine Learning Engineering com fit claro de localização do candidato.
Publicada2 de jul. de 2026
Países elegíveis1 país aceito
Sinal de senioridadeMiddle
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Estados Unidos
Resumo da vaga
Machine Learning Engineer, Zillow Shopping AI
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
You Will Get To:
- Design, build, and ship production new machine learning models that power core product features on the Zillow app, website, and email/push notifications.
- Help re-architect our core home ranking and recommendation systems to support advanced neural networks and dramatically accelerate the pace of experimentation across surfaces.
- Own the full lifecycle of your models, from offline experimentation and prototyping with massive datasets to online deployment, A/B testing, and performance monitoring.
- Pioneer the application of cutting-edge deep learning and large language models (LLMs) to improve our home shopping experience.
- Develop new AI components that optimize how we display and when we recommend homes, ensuring we connect shoppers with the right content on the right properties at the right time.
- Collaborate in a cross-functional group of engineers, applied scientists, product managers, and designers to define, execute, and iterate on the team's strategic roadmap.
- Contribute to the team's engineering excellence by improving our machine learning infrastructure, development standards, and shared tooling.
Must Have:
- 1-3 years of experience in developing applications in search, personalized ranking, or recommender systems
- Experience developing and deploying ML models that scale to high-traffic, latency sensitive customer-facing services (100s of millions of requests per day)
- Strong programming skills in a high-level language such as Python or Java
- Familiarity with common machine learning libraries like PyTorch, TensorFlow, Catboost, scikit-learn and huggingface (repository)
- Expertise with large scale distributed data processing systems such as Hive, Spark, Airflow, or Databricks
- Experience owning the full lifecycle of customer facing machine learning models, from offline experimentation and prototyping to online deployment, A/B testing, and performance monitoring
- Here at Zillow - we value the experience and perspective of candidates with non-traditional backgrounds. We encourage you to apply if you have transferable skills or related experiences
Preferred:
- A Master's degree + 2 yrs or BS with a minimum of 4 yrs of experience (preferably in large consumer tech companies)
- Prior experience or high level of curiosity with generative AI and excitement to collaborate on what they’ve learned!
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