Назад
Company hidden
5 дней назад

Staff AI Scientist

209 500 - 283 500$
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
Staff AI Scientist (Machine Learning/NLP): Leading the application of AI science across consumer financial technology products by designing end-to-end model architectures and aligning model metrics with business goals, with an accent on optimization, NLP, explainable AI, and scalable ML pipelines. Focus on hands-on data analysis, feature engineering, A/B testing, customer-facing machine learning applications, and providing technical direction to AI Scientists.

Location: Mountain View, California, United States

Salary: $209,500–$283,500 annual base pay; may also include a cash bonus, equity rewards, and benefits.

Company

hirify.global is a global financial technology platform serving approximately 100 million customers through products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

  • Lead the application of AI science across the Consumer Group and drive end-to-end model architecture.
  • Define success criteria with stakeholders and align model metrics with business goals.
  • Lead scrum teams and design scalable machine learning solutions.
  • Perform hands-on data analysis, ETL, and feature engineering with large datasets.
  • Apply data mining, NLP, classification, regression, deep learning, and recommender systems to customer-facing problems.
  • Design A/B tests, communicate recommendations to leadership, and mentor AI Scientists.

Requirements

  • BS, MS, or PhD in Computer Science, Statistics, Mathematics, Economics, Operations Research, or a related quantitative field.
  • 4+ years of industry experience in AI Science, Machine Learning, or a related field.
  • Strong experience with combinatorial, gradient-based, and Bayesian optimization, NLP, and Explainable AI.
  • Proficiency in Python, Scala, Java, and/or R, plus strong SQL, Hive, and SparkSQL skills.
  • Experience building reusable, end-to-end ML pipelines and scalable models in Linux environments.
  • Strong communication skills and experience operating with technical lead scope.

Culture & Benefits

  • Hands-on technical leadership with direct influence on customer experience and data-driven decision-making.
  • Collaboration with product managers, engineers, designers, and technical stakeholders.
  • Competitive pay-for-performance compensation approach.
  • Potential eligibility for cash bonuses, equity rewards, and employee benefits.

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