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4 дня назад

Sr Applied Scientist (Generative AI)

183 800 - 248 700$
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

Sr Applied Scientist (Generative AI): Building and optimizing cutting-edge generative AI technologies for Amazon Ads, revolutionizing ad creation, optimization, and performance analysis. Focus on developing state-of-the-art experimental approaches and ML models to enhance shopper experience and deliver long-term value for advertisers and third-party retailers.

Location: New York, USA

Salary: $183,800 - $248,700 USD annually

Company

hirify.global is re-imagining the advertising landscape at Amazon Ads through cutting-edge generative AI technologies, revolutionizing how millions of customers discover products and engage with brands.

What you will do

  • Collaborate with business, engineering, and science leaders to establish the science optimization and monetization roadmap for Amazon Retail Ad Service.
  • Drive alignment across organizations for science, engineering, and product strategy to achieve business goals.
  • Lead and guide scientists and engineers across teams to develop, test, launch, and improve science models.
  • Develop state-of-the-art experimental approaches and ML models to meet growing needs and diverse customer sets.
  • Participate in the Science hiring process and mentor other scientists.

Requirements

  • PhD, or Master's degree and 6+ years of applied research experience.
  • 3+ years of experience building machine learning models for business applications.
  • Experience programming in Java, C++, Python or a related language.
  • Experience with neural deep learning methods and machine learning.
  • Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs, and NFs.

Nice to have

  • Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy.
  • Experience with large-scale distributed systems such as Hadoop and Spark.
  • Experience in auctions or mechanism design.
  • Experience with large-scale machine learning systems, including profiling, debugging, and understanding performance and scalability.

Culture & Benefits

  • Comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage).
  • 401(k) matching.
  • Paid time off and parental leave.
  • Inclusive culture that empowers Amazonians to deliver the best results for customers.
  • Opportunity to shape the future of advertising through AI innovation.

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