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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading the design, development, and deployment of machine learning models, with a strong focus on data preparation, model performance evaluation, and responsible AI practices. Proven ability to translate business needs into technical roadmaps while mentoring applied scientists and engineers.
Highest-signal resume keywords
Machine Learning Model DevelopmentData Preparation and Feature EngineeringModel Performance MeasurementA/B Testing ExperienceMentoring and Coaching
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Applied Machine LearningStatistical ModelingData ExplorationModel TrainingModel ServingAlgorithm DevelopmentData AnalysisProduction EnvironmentsScalable PipelinesGenerative AI Systems
Soft Skills
CollaborationCommunicationProblem Solving
Industry Keywords
Responsible AI PracticesModel MonitoringFairness and Bias ChecksCross-Functional TeamsLarge-Scale Data Sets
About the role
Key responsibilities & impact- Lead end-to-end design, development, and deployment of applied machine learning models and algorithms
- Perform problem formulation, data exploration, experimentation, evaluation, and productionization
- Architect scalable pipelines for data preparation, feature engineering, model training, and model serving
- Conduct offline analyses and online experiments to evaluate model performance
- Interpret results and recommend data-driven improvements to product experiences and business metrics
- Translate business needs into scientific requirements and technical roadmaps
- Implement responsible AI practices, including model monitoring and fairness and bias checks
- Mentor and coach applied scientists and engineers
- Develop ranking, recommendation, and generative AI systems for Zillow’s home-shopping experience
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Statistics, Mathematics, Electrical Engineering, or a related quantitative field
- 8+ years of experience applying machine learning or advanced statistical modeling in an industry setting
- Experience delivering models into production environments
- Experience with large-scale data sets
- Experience with experimentation or A/B testing
- Experience with model performance measurement for consumer or enterprise products
- Demonstrated success collaborating in cross-functional teams
- Equivalent combination of education and experience accepted
- U.S. employees may live in any of the 50 United States, with limited exceptions
Benefits
Comp & perks- Equity awards
- Remote work from a physical location of choice
- Flexible distributed work through Cloud HQ
- Equal employment opportunity and workplace accommodations
