обновлено 13 дней назад
Staff AI Scientist (AI)
209 500 - 283 500$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Staff AI Scientist (AI): Building AI-powered recommendation, personalization, and monetization strategies for Credit Karma’s personal finance products with an accent on large-scale machine learning, statistical experimentation, and member value. Focus on researching GenAI, deep learning, and recommender systems, architecting ML systems, and translating complex technical work into business decisions.
Location: Oakland or Mountain View, California, United States
Salary: $209,500–$283,500 annual base pay; compensation may also include a cash bonus, equity rewards, and benefits.
Company
is a financial technology platform whose products include Credit Karma, TurboTax, QuickBooks, and Mailchimp.
What you will do
- Identify high-impact opportunities to use data and AI to improve member outcomes.
- Develop and continuously improve machine learning models for targeting, marketing campaigns, personalization, user profiles, and behavior modeling.
- Research GenAI, deep learning, recommender systems, and other AI techniques for personal finance.
- Define business metrics and design statistically sound experiments for revenue, engagement, and user experience.
- Collaborate with engineering, product, marketing, finance, analytics, and other cross-functional partners.
- Represent Data Science in business reviews and represent Credit Karma at conferences and meetups.
Requirements
- Master’s degree in Computer Science, Mathematics, Statistics, Physics, or a related quantitative field.
- 7+ years of industry experience in data science, machine learning, or related areas.
- Deep statistical knowledge and experience architecting and developing advanced ML systems.
- Strong programming skills in Python, Java, and SQL.
- Experience applying machine learning and AI to large-scale products and personal finance or consumer internet environments.
- Ability to work in Oakland or Mountain View, California.
Nice to have
- Experience driving monetization, member engagement, and long-term member value through AI.
- Experience with large-scale AI systems, generative AI, AI infrastructure, data foundations, and self-serve analytics.
- Ads business and product experience.
- Experience working in fast-paced, large-scale company environments.
Culture & Benefits
- Work on large-scale projects with direct impact on Credit Karma members and the business.
- Cross-functional collaboration across engineering, product, marketing, finance, and analytics.
- Opportunities for personal and professional growth.
- Competitive compensation with performance-based rewards, potential bonus, equity, and benefits.
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