24 часа назад
Senior Staff AI Scientist (NLP)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Staff AI Scientist (NLP): Building and deploying machine learning models for financial technology products with an accent on NLP, deep learning, causal modeling, and end-to-end data pipelines. Focus on leading model architecture, performing hands-on analysis and feature engineering, running A/B tests, and integrating production data science solutions.
Location: Atlanta, Georgia, United States
Company
is a financial technology platform serving approximately 100 million customers through products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.
What you will do
- Build and deploy machine learning models using analytical algorithms and deep learning approaches.
- Define success criteria with stakeholders and align model metrics with business goals.
- Lead the technical work of a scrum team, including model solutions, end-to-end architecture, code quality, design, cost, and implementation standards.
- Perform hands-on data analysis, ETL, data cleaning, feature engineering, and modeling with large datasets.
- Apply data mining, NLP, supervised and unsupervised learning, causal ML, online learning, Bayesian learning, reinforcement learning, and deep learning.
- Run A/B tests, communicate results, support solution integration, and research new ML technologies.
Requirements
- 6+ years of industry experience in AI science.
- BS, MS, or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or an equivalent field.
- 4+ years of hands-on experience with multiple ML paradigms, including causal, supervised or unsupervised, online, Bayesian, reinforcement, or deep learning.
- Expertise in optimization, NLP, Explainable AI, ML frameworks, and end-to-end reusable data pipelines.
- Proficiency with programming languages and analytical tools such as Python, Scala, Java, R, SQL, Hive, and SparkSQL.
- Strong communication skills, independence, adaptability, and comfort working in a Linux environment.
Culture & Benefits
- Collaborative and creative AI science and machine learning environment.
- Opportunity to work with product managers, software engineers, designers, stakeholders, and business partners.
- Competitive compensation package with performance-based cash bonus, equity rewards, and benefits.
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