Senior Applied Scientist, Shopping AI — Remote

Zillow Group Inc.; Northern (KY); A distancia; USD 161.000 - 257.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity awards

Remote-friendly policy

Descripción de la vacante

Zillow Group Inc. is hiring a Senior Applied Scientist for Shopping AI to advance ranking, recommendations, and generative AI across Zillow’s home-shopping experiences.

You will design and deploy ML models that power core features and work with product and design to deliver intuitive, personalized experiences. As a senior member, you will mentor others, champion responsible AI, and build scalable pipelines with data and software partners.

Formación

• 8+ years of experience applying machine learning or advanced statistical modeling in an industry setting, including delivering models into production environments.
• Demonstrated success collaborating in cross-functional teams to ship features or operational improvements.
• Experience with large-scale data sets, experimentation, and model performance measurement.

Responsabilidades

• Lead the end-to-end design, development, and deployment of applied ML models and algorithms from problem formulation to productionization.
• Architect robust, scalable pipelines for data prep, feature engineering, model training, and serving in partnership with data and software engineering teams.
• Conduct offline analyses and online experiments to evaluate model performance and guide data-driven improvements to product experiences.

Conocimientos

Machine Learning

Production deployment

A/B testing

Large-scale data

Educación

Bachelor's degree in Computer Science / Statistics / Math

Descripción del empleo

Zillow Group Inc. is hiring a Senior Applied Scientist for Shopping AI to advance ranking, recommendations, and generative AI across Zillow’s home-shopping experiences.

You will design and deploy ML models that power core features and work with product and design to deliver intuitive, personalized experiences. As a senior member, you will mentor others, champion responsible AI, and build scalable pipelines with data and software partners.