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4 дня назад

Staff AI Research Engineer (AI)

220 800 - 331 200$
Формат работы
onsite
Тип работы
fulltime
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

Staff AI Research Engineer (AI): Developing and deploying advanced machine learning systems for the Monetization team with an accent on large language models, multi-armed bandits, and reinforcement learning. Focus on building scalable AI solutions that balance user retention and revenue while driving strategic product decisions.

Location: New York, NY

Salary: $220,800 — $331,200 USD

Company

hirify.global is a leading education technology company on a mission to make the best education in the world universally available through data-driven, innovative learning experiences.

What you will do

  • Collaborate within a full-stack team to design and implement scalable machine learning solutions.
  • Develop and train bandit models and large-scale neural networks to optimize monetization and user experience.
  • Drive strategic product and business decision-making as a key member of the Monetization leadership group.
  • Stay at the forefront of AI research, applying the latest developments in LLMs and bandits to production projects.
  • Mentor team members and provide technical guidance to foster professional growth.
  • Ensure the quality, efficiency, and scalability of deployed AI models.

Requirements

  • Proven experience as an AI research engineer in fields such as LLMs, bandits, or computer vision.
  • Strong background in training and fine-tuning large models in applied settings.
  • Advanced degree in Computer Science, Engineering, or a related field with a focus on AI/ML.
  • Excellent leadership and communication skills with the ability to inspire and manage a team.
  • Deep understanding of machine learning concepts, frameworks, and best practices.
  • Must be based in or able to work from New York, NY.

Culture & Benefits

  • Limitless learning opportunities and collaboration with world-class engineering minds.
  • Work on high-impact projects with a massive global user base.
  • Comprehensive employee well-being and benefits package.
  • Collaborative, innovative, and data-driven work environment.

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