6 дней назад
Staff AI Scientist
209 500 - 283 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff AI Scientist (AI/Machine Learning): Building and deploying analytical and deep learning models for financial technology products with an accent on NLP, causal modeling, optimization, and large-scale data preparation. Focus on leading end-to-end model architecture, designing reusable data-to-output pipelines, running A/B tests, and translating complex AI solutions into customer impact.
Location: Mountain View, California, United States
Base pay: $209,500–$283,500 per year; additional cash bonus, equity rewards, and benefits may apply.
Company
is a financial technology platform developing products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.
What you will do
- Build and deploy machine learning models using analytical algorithms and deep learning.
- Lead the technical work of a scrum team, including model solutions, end-to-end architecture, code quality, design, cost, and implementation standards.
- Analyze large datasets, discover and access data sources, perform ETL, and build model-ready features.
- Apply data mining, NLP, causal, supervised, unsupervised, online, Bayesian, reinforcement, and deep learning methods to real-world problems.
- Collaborate with product managers, software engineers, designers, stakeholders, and partners to define success criteria and deliver data science solutions.
- Design A/B tests, communicate results, and research emerging machine learning technologies.
Requirements
- 4+ years of industry experience in AI science and 4+ years of hands-on experience with machine learning paradigms.
- BS, MS, or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or an equivalent field.
- Proficiency in optimization methods, NLP, Explainable AI, and machine learning frameworks.
- Experience with Python, Scala, Java, and/or R, plus SQL, Hive, or SparkSQL.
- Experience building reusable end-to-end pipelines from data acquisition through model output delivery.
- Strong communication skills, independent working ability, and comfort working in a Linux environment.
Culture & Benefits
- Collaborative and creative AI science and machine learning environment.
- Opportunity to build models affecting hundreds of thousands of customers.
- Competitive compensation with performance-based rewards.
- Cash bonus, equity rewards, and employee benefits according to applicable plans.
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