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2 дня назад

Sr. Applied Scientist, Sponsored Products Off-Search Sourcing (AI)

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, Sponsored Products Off-Search Sourcing (AI): Contribute to the design and development of GenAI, deep learning, multi-objective optimization and reinforcement learning solutions to transform ad retrieval, auctions, whole-page relevance, and bespoke shopping experiences. Focus on building scalable production-ready science solutions, collaborating cross-functionally with scientists, engineers, and product managers, staying ahead of industry trends in GenAI and LLMs, and mentoring junior scientists.

USA: New York, NY; Seattle, WA; Palo Alto, CA

USA, CA, Palo Alto - $192,200 - $260,000 USD annually; USA, NY, New York - $183,800 - $248,700 USD annually; USA, WA, Seattle - $167,100 - $226,100 USD annually

Company

hirify.global Ads team re-imagining advertising through generative AI technologies to enhance product discovery and brand engagement across hirify.global.com.

What you will do

  • Design and develop GenAI, deep learning, multi-objective optimization, and reinforcement learning solutions for ad retrieval, auctions, whole-page relevance, and personalized shopping experiences.
  • Collaborate with scientists, engineers, and product managers to deliver scalable, production-ready AI solutions.
  • Track industry trends in GenAI and LLMs, prototyping innovative concepts.
  • Enhance team's scientific rigor with best-in-class algorithms, methodologies, and infrastructure for rapid experimentation.
  • Mentor junior scientists and engineers to build a high-performing team.

Requirements

  • 3+ years of building machine learning models for business applications.
  • PhD, or Master's degree and 6+ 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.
  • Experience with large scale distributed systems such as Hadoop, Spark.

Culture & Benefits

  • Comprehensive benefits including health insurance (medical, dental, vision, prescription), Basic Life & AD&D insurance, EAP, Mental Health Support, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement.
  • 401(k) matching, paid time off, parental leave.
  • Inclusive culture empowering high performance and customer focus.
  • Sign-on payments and restricted stock units (RSUs) as part of compensation package.

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