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6 часов назад

Applied Scientist (GenAI)

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 (GenAI): Designing and developing GenAI and deep learning solutions to transform ad retrieval, auctions, and personalized shopping experiences with an accent on LLMs, multi-objective optimization, and reinforcement learning. Focus on building novel generative models to elevate ad relevance and user engagement at massive scale.

Location: USA (Seattle, New York, Palo Alto)

Company

hirify.global AI is re-imagining the advertising landscape through state-of-the-art generative AI technologies to transform how customers discover products and engage with brands.

What you will do

  • Develop GenAI, deep learning, and RL-empowered solutions to transform ad retrieval, auctions, and whole-page relevance.
  • Collaborate cross-functionally with scientists, engineers, and product managers to bring scalable, production-ready science solutions to life.
  • Prototype innovative concepts and integrate the latest trends in LLMs and GenAI into the organization.
  • Implement best-in-class algorithms and infrastructure to enable rapid experimentation and scaling.
  • Mentor and grow junior scientists and engineers, cultivating a collaborative and intellectually curious team.

Requirements

  • PhD, or Master's degree and 4+ years of experience in CS, CE, ML, or a related field.
  • 3+ years of experience building models for business applications.
  • Proficiency in Java, C++, Python, or related programming languages.
  • Strong foundation in GenAI, LLMs, machine learning, deep learning, and probabilistic modeling.
  • Experience developing and deploying models in real-world production environments.

Nice to have

  • Expertise in foundation models, fine-tuning, and customization for downstream tasks.
  • Hands-on experience in ads ranking, retrieval, and recommendation systems at web scale.
  • Deep understanding of RAG, RLHF, or multi-modal modeling.
  • Experience with A/B testing frameworks and metrics design for e-commerce or advertising.
  • Familiarity with auction theory and ad economics.

Culture & Benefits

  • Inclusive culture that empowers employees to deliver the best results for customers.
  • Opportunity to apply frontier AI to real-world problems with massive scale and impact.
  • High-performing, intellectually curious environment with a focus on scientific rigor.

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