Назад
Company hidden
2 часа назад

Senior Applied Scientist (Sponsored Products, 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
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

Senior Applied Scientist (Sponsored Products, AI): Leading full life-cycle machine learning projects to deliver relevant product ads on hirify.global search and detail pages worldwide with an accent on predictive modeling, reinforcement learning, causal inference, and scalable data processes. Focus on building, optimizing, and deploying ML models, running A/B experiments, and researching new approaches to enhance shopper experience and advertiser monetization.

USA, NY, New York or USA, WA, Seattle

USA, NY, New York - $202,200 - $273,600 USD annually; USA, WA, Seattle - $183,800 - $248,700 USD annually

Company

hirify.global Ads team pioneering generative AI technologies to revolutionize advertising experiences across hirify.global.com.

What you will do

  • Act as technical leader in machine learning and drive full life-cycle ML projects from research to production.
  • Lead technical efforts within the team and across other teams.
  • Build, experiment with, optimize, and deploy ML models including predictive modeling, reinforcement learning, and causal inference.
  • Run A/B experiments, perform statistical analysis, and establish scalable data analysis processes.
  • Collaborate with software engineers to productionize ML models.
  • Research new ML approaches, recruit scientists, and mentor team members.

Requirements

  • 4+ years of applied research experience.
  • 3+ years of managing scientists or machine learning engineers.
  • 3+ years of building ML models for business applications.
  • PhD or Master's degree + 6+ years of applied research experience.
  • Knowledge of ML, NLP, Information Retrieval, and Analytics.
  • Experience programming in Java, C++, Python, or related language.

Nice to have

  • Experience building complex software systems involving deep learning, machine learning, and computer vision delivered to customers.

Culture & Benefits

  • Comprehensive benefits including medical, dental, vision insurance, 401(k) matching, paid time off, parental leave.
  • Inclusive culture empowering high performance and customer obsession.
  • Fast-paced, high-energy environment with focus on innovation and continuous exploration.
  • Support for disabilities and accommodations in hiring process.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →