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Sr. Applied Scientist, Prime Video (AI Engineering)

167 100 - 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

Sr. Applied Scientist, Prime Video - Personalization and Discovery Science (AI): Develops AI solutions for Prime Video Search systems using Deep Learning, GenAI, and Reinforcement Learning with an accent on designing and conducting online experiments based on in-depth data analyses. Focus on communicating technical and non-technical ideas with stakeholders and staying up-to-date with the latest modeling techniques in the field.

Location: Must be based in the USA (Sunnyvale, New York, Seattle)

Salary: 167,100.00 - 260,000.00 USD annually

Company

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices.

What you will do

  • Develop AI solutions for various Prime Video Search systems using Deep learning, GenAI, Reinforcement Learning, and optimization methods.
  • Work closely with engineers and product managers to design, implement, and launch AI solutions end-to-end.
  • Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses.
  • Communicate technical and non-technical ideas with teammates and stakeholders effectively.
  • Stay up-to-date with advancements and the latest modeling techniques in the field.
  • Publish research findings in top conferences and journals.

Requirements

  • PhD, or Master's degree and 6+ years of applied research experience.
  • 5+ years of building machine learning models for business application 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.

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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