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24 часа назад

Senior Staff AI Scientist (NLP)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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