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21 час назад

Senior Applied Scientist, Ads Measurement Science (AI)

183 800 - 248 700$
Формат работы
remote (только USA)
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 Applied Scientist, Ads Measurement Science (AI): Leading the development of solutions for performance measurement products, leveraging technologies like Generative AI, ML, Causal Inference, NLP, and Computer Vision with an accent on delivering novel measurement insights to customers. Focus on innovating the product portfolio and easing accessibility to actionable insights for customers.

Location: Must be based in the USA

Salary: 183,800.00 - 248,700.00 USD annually

Company

hirify.global Ads serves a centralized role developing solutions for a multitude of performance measurement products.

What you will do

  • Lead a team of scientists to innovate on state-of-the-art ads measurement solutions.
  • Contribute to the end-to-end delivery of production solutions through careful designs and owning implementation of significant portions of critical-path code.
  • Lead the decomposition of problems and development of roadmaps to execute on it.
  • Communicate clearly and effectively with stakeholders to drive alignment and build consensus on key initiatives.
  • Foster collaborations between scientists to move faster, with broader impact.
  • Actively engage in the development of others, both within and outside the team.

Requirements

  • 5+ years of building machine learning models for business application experience.
  • PhD, or Master's degree and 8+ years of applied research experience.
  • Experience programming in Java, C++, Python or related language.
  • 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 etc.
  • Experience with large scale distributed systems such as Hadoop, Spark etc.
  • Experience with popular deep learning frameworks such as MxNet and Tensor Flow.
  • 5+ years of building machine learning models or developing algorithms for business application experience.
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals.

Culture & Benefits

  • Comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage).
  • 401(k) matching.
  • Paid time off, and parental leave.

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