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6 часов назад

Senior AI Scientist (AI)

Формат работы
onsite
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

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TL;DR

Senior AI Scientist (AI): Building and deploying machine learning models using analytical algorithms and deep learning approaches to improve relevance and personalization algorithms. Focus on data analysis, feature engineering, and running A/B tests to optimize model performance and communicate results.

Location: Mountain View, California

Company

hirify.global is the global financial technology platform that powers prosperity for the people and communities we serve.

What you will do

  • Perform hands-on data analysis and modeling with huge data sets.
  • Apply data mining, NLP, and machine learning to improve relevance and personalization algorithms.
  • Work with product managers, software engineers, and designers to design experiments and minimum viable products.
  • Discover data sources, import and clean them, and make them model-ready, including ETL processes.
  • Create and refine features from the underlying data to improve model performance.
  • Run regular A/B tests, gather data, perform statistical analysis, and communicate results to peers and leaders.

Requirements

  • BS, MS, or PhD in Computer Science, Statistics, Applied Math, Operations Research, or a related field.
  • 1+ years of industry experience with AI science.
  • 1+ years of experience with modern advanced analytical tools and programming languages such as R or Python with scikit-learn.
  • Efficient in SQL, Hive, or SparkSQL.
  • Comfortable in a Linux environment.
  • 1+ years of experience in data mining algorithms and statistical modeling techniques.

Culture & Benefits

  • Competitive compensation package with a strong pay for performance rewards approach.
  • May be eligible for a cash bonus, equity rewards and benefits.
  • hirify.global conducts regular comparisons across categories of ethnicity and gender to drive ongoing fair pay for employees.

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