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2 часа назад

Senior Applied Scientist (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

Senior Applied Scientist (AI Ads): Developing machine learning models and pipelines to optimize ad pricing, selection, allocation, and display on hirify.global devices like Prime Video, Fire TV, Alexa, and Fire Tablet with an accent on conversational and agentic AI-driven ads. Focus on building scalable models for relevance, CTR, CPSU, multi-modal learning, reinforcement learning, autonomous agents, and sequential decision making in high-scale advertising environments.

Location: Onsite in Boston MA, Sunnyvale CA, or New York NY (USA)

Salary: $167,100–$260,000 USD annually (location-dependent)

Company

hirify.global AI team focused on Device Ads and Personalization (DAPP) under hirify.global Publisher Monetization (APM), innovating ad experiences on hirify.global devices.

What you will do

  • Develop models to optimize conversion KPIs across customer lifecycle in hirify.global Ads.
  • Build scalable data pipelines to ingest and enrich data from Retail, Prime Video, FireTV, Alexa, and AppStore.
  • Design, experiment, optimize, and deploy ML models into production with product and engineering teams.
  • Drive innovation in agentic AI for ads, including autonomous agents, multi-agent orchestration, planning, large multimodal models, and RL.
  • Establish automated processes for data analysis, model development, validation, and serving.
  • Collaborate with scientists, engineers, PMs, and leadership across hirify.global organizations.

Requirements

  • 5+ years building ML models for business applications
  • PhD or Master's + 6+ years applied research experience
  • Programming in Java, C++, Python or similar
  • Experience in speech recognition, machine translation, NLP systems

Nice to have

  • Modeling tools: R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy
  • Large-scale distributed systems: Hadoop, Spark

Culture & Benefits

  • Comprehensive benefits: health insurance (medical, dental, vision), 401(k) matching, paid time off, parental leave.
  • Inclusive culture empowering results for customers.
  • Accommodations for disabilities during hiring.

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