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59 минут назад

Applied Scientist III (AI)

167 100 - 248 700$
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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TL;DR

Applied Scientist III (AI/ML): Developing real-time GenAI and ML solutions for advertising auctions and search ranking to improve shopper discovery and advertiser performance with an accent on multi-modal GenAI and high-scale allocation. Focus on architecting next-generation search systems, pioneering breakthrough multi-modal applications, and optimizing real-time ad allocation algorithms for billions of daily requests.

Location: Must be based in New York, NY or Seattle, WA

Salary: $167,100 – $248,700 annually

Company

hirify.global is a global technology leader utilizing generative AI to revolutionize advertising and shopping experiences across its marketplace.

What you will do

  • Architect next-generation systems to enhance the hirify.global Search page experience.
  • Pioneer breakthrough applied science in multi-modal GenAI applications, combining text, images, and multi-lingual support.
  • Develop real-time machine learning algorithms to allocate billions of ads per day in advertising auctions.
  • Lead end-to-end projects, from problem formulation with stakeholders to analyzing A/B experiments.
  • Collaborate with search and retail partner teams, software engineers, and product managers to build scalable solutions.
  • Research and implement innovative machine learning approaches to solve complex ranking and allocation challenges.

Requirements

  • PhD or Master's degree with 6+ years of applied research experience.
  • 3+ years of experience building machine learning models for business applications.
  • Proficiency in programming languages such as Python, Java, or C++.
  • Deep expertise in neural deep learning methods and machine learning.
  • Work authorization and residency in the USA (specifically NY or WA).

Nice to have

  • Experience with modeling tools: R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, or scipy.
  • Experience with large-scale distributed systems such as Hadoop and Spark.
  • Background in auctions or mechanism design.

Culture & Benefits

  • Competitive compensation including base salary, sign-on payments, and restricted stock units (RSUs).
  • Comprehensive health insurance including medical, dental, vision, and prescription coverage.
  • Financial security with 401(k) matching.
  • Work-life balance benefits including paid time off and parental leave.
  • Inclusive environment with comprehensive workplace accommodation and mental health support.

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