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3 дня назад

Research Engineer (AI/ML)

195 000 - 400 000$
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

Текст:
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TL;DR
Research Engineer (AI/ML) (Creator Advertising): Building applied AI and ML systems for creator advertising, including multimodal intelligence, ranking, recommendation, prediction, and foundation-model applications with an accent on proprietary data and production deployment. Focus on defining research problems, running rigorous experiments, developing learning and decision-making methods, and shipping models that improve campaign outcomes.

Location: New York, NY; on-site

Salary: $195,000–$400,000 per year, plus equity.

Company

hirify.global builds AI-native infrastructure for creator advertising, using creative and performance signals to improve campaign strategy, creator matching, sponsorship pricing, and content review.

What you will do

  • Own applied AI and ML research problems from definition and experimentation through production.
  • Build multimodal systems that understand creators, brands, briefs, and video, audio, image, and text content.
  • Develop ranking, recommendation, and prediction models for creator-brand fit and campaign outcomes.
  • Apply foundation models, LLMs, retrieval, fine-tuning, post-training, and specialized model training to campaign planning and optimization.
  • Turn campaign data into training signals, evaluations, and learning loops for optimization, exploration, measurement, and marketplace dynamics.
  • Work with engineering and product to evaluate, deploy, and measure successful approaches in production.

Requirements

  • Demonstrated experience conducting applied ML research through production systems, publications, open-source research, or comparable contributions.
  • Depth in one or more areas including foundation models, multimodal learning, recommendation and ranking, representation learning, reinforcement learning, decision-making, causal inference, or optimization.
  • Ability to turn ambiguous product problems into tractable research questions and run rigorous experiments.
  • Strong engineering skills and experience taking ML work beyond prototypes into production systems.
  • Strong knowledge of current AI research and judgment about which methods are useful in practice.
  • A PhD or advanced degree in ML, AI, computer science, statistics, or a related field is useful but not required.

Culture & Benefits

  • Opportunity to join an early-stage team and help shape engineering culture and research standards.
  • Collaborative, transparent, and engaging work environment.
  • Flexible PTO and comprehensive medical coverage through Aetna, with dental and vision plans through Guardian.
  • 401(k) retirement plan and a $100 monthly lifestyle credit.
  • Daily office lunches and snacks, dinner Monday through Thursday, subsidized Wellhub access, and an on-site gym.

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