Senior Applied Scientist, Shopping AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Location: Remote within the United States; employees may live in any of the 50 states, with limited exceptions
Base salary: $160,900–$257,100 annually in California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC; $152,900–$244,300 annually in Colorado, Hawaii, Illinois, Maine, Minnesota, Nevada, Ohio, Rhode Island, Vermont, and Virginia. Equity awards may also be available.
Company
is a U.S. real estate platform helping people buy, sell, finance, and rent homes through digital products.
What you will do
- Design, develop, and deploy applied machine learning models and algorithms from problem formulation through productionization.
- Build scalable pipelines for data preparation, feature engineering, model training, and model serving.
- Conduct offline analyses and online experiments to measure model performance and improve product and business outcomes.
- Translate ambiguous business needs into scientific requirements and technical roadmaps with product, engineering, and analytics partners.
- Implement responsible AI practices, including model monitoring, fairness checks, bias analysis, and continuous production improvement.
- Mentor applied scientists and engineers through design reviews, best-practice sharing, and guidance on modern machine learning techniques.
Requirements
- Bachelor’s degree in computer science, statistics, mathematics, electrical engineering, or a related quantitative field.
- 8+ years of industry experience applying machine learning or advanced statistical modeling.
- Experience delivering machine learning models into production environments.
- Experience with large-scale datasets, experimentation or A/B testing, and model performance measurement.
- Success collaborating cross-functionally to turn research insights into shipped features or operational improvements.
- Must be employed from within the United States.
Culture & Benefits
- Remote work through ’s distributed Cloud HQ approach.
- Equity awards may be provided based on experience, performance, and location.
- Inclusive and collaborative environment focused on innovation and professional growth.
- Equal employment opportunity and reasonable accommodation support.
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