Remote Senior AI Scientist, Shopping & Recommendations

Zillow Group

United States

Remote

USD 161,000 - 257,000

Full time

14 days+

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Job summary

Zillow Group is seeking a Sr. Applied Scientist to drive next-generation ranking, recommendation, and generative AI systems for the home-shopping experience.

You will research, design, and deploy machine learning models powering core features, and collaborate across teams to deliver intuitive, personalized experiences. You will lead end-to-end model development, build robust data pipelines, and monitor production models while championing responsible AI practices and mentoring teammates.

Qualifications

  • 8+ years of experience applying ML or advanced statistical modeling in an industry setting.
  • Experience delivering models into production environments.
  • Experience with large-scale data sets, experimentation or A/B testing, and model performance measurement.
  • Proven success collaborating in cross-functional teams to ship features or improvements.
  • Equivalent combination of education and experience.

Responsibilities

  • Lead end-to-end design, development, and deployment of applied ML models and algorithms.
  • Architect scalable data pipelines for preparation, feature engineering, training, and serving.
  • Conduct offline analyses and online experiments to evaluate model performance.
  • Collaborate with product, engineering, and analytics to translate business needs into scientific requirements and roadmaps.
  • Mentor and coach other scientists and engineers in ML best practices.

Skills

Bachelor’s degree required
8+ years ML/stat modeling

Education

Bachelor’s degree in CS/Stat/Math/EE or related

Job description

Zillow Group is seeking a Sr. Applied Scientist to drive next-generation ranking, recommendation, and generative AI systems for the home-shopping experience.

You will research, design, and deploy machine learning models powering core features, and collaborate across teams to deliver intuitive, personalized experiences. You will lead end-to-end model development, build robust data pipelines, and monitor production models while championing responsible AI practices and mentoring teammates.

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