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1 день назад

Senior Applied Scientist (AI)

150 400 - 260 000$
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 Applied Scientist (AI): Researching and developing cutting-edge machine learning models including generative AI and large language models for hirify.global Ads to optimize ad ranking, personalization, and customer insights with an accent on scalable ML solutions and real-world impact. Focus on designing and deploying models at massive scale, solving ambiguous problems, and balancing multiple stakeholder needs.

Location: Onsite in the United States

Salary: $150,400–$260,000 per year

Company

hirify.global is a global technology company investing heavily in AI and machine learning to innovate advertising solutions.

What you will do

  • Research and implement advanced ML approaches including generative AI and large language models
  • Develop and deploy ML solutions across ranking, personalization, NLP, computer vision, and recommender systems
  • Drive end-to-end projects handling petabytes of data and ambiguous problems at scale
  • Build, optimize, and deploy ML models collaborating with engineers, product managers, and scientists
  • Design and run A/B experiments to validate hypotheses and measure business impact
  • Develop scalable processes for model development, validation, and deployment balancing monetization and customer experience

Requirements

  • Must be located in the United States or able to work onsite
  • 5+ years of experience building ML models for business applications
  • PhD or Master’s degree with 6+ years of applied research experience
  • Proficiency in Java, C++, Python or related languages
  • Experience with neural deep learning methods and machine learning

Nice to have

  • Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy
  • Experience with large scale distributed systems like Hadoop and Spark

Culture & Benefits

  • Inclusive culture empowering innovation and scientific excellence
  • Access to extensive computational resources and rich datasets
  • Opportunities for career growth as individual contributor or people manager
  • Comprehensive compensation including equity, sign-on payments, and benefits
  • Support for workplace accommodations and inclusive hiring practices

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