Назад
Company hidden
8 дней назад

Head of AI Research Product

250 000 - 310 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
head
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR
Head of AI Research Product (AI/Public Transit): Leading applied machine learning research and product innovation for rider experiences and transit network performance with an accent on reinforcement learning, simulation, personalization, and multi-objective optimization. Focus on designing dispatching and pooling systems, validating novel approaches with transit agencies, and productizing research through experimentation and real-time inference.

Location: New York, New York, United States

Salary: $250,000–$310,000 per year, excluding equity and variable pay

Company

hirify.global develops technology for smart transportation and public mobility systems.

What you will do

  • Build and lead the AI research product function and define the roadmap for machine learning advances across rider and transit operations products.
  • Design and deploy reinforcement learning systems for routing, pooling efficiency, and real-time dispatching.
  • Develop simulation-based approaches using deep reinforcement learning, Monte Carlo tree search, policy networks, and value networks.
  • Create ensemble models and multi-objective optimization frameworks balancing wait times, ride costs, emissions, equity, and vehicle utilization.
  • Develop personalization and behavioral incentive systems for the rider mobile experience, including trip recommendations, alerts, pricing signals, and engagement mechanisms.
  • Partner with transit agencies and product and engineering teams to validate, experiment with, and scale AI solutions into the core platform.

Requirements

  • MS or PhD in machine learning, operations research, statistics, applied mathematics, or a related quantitative discipline.
  • Deep hands-on experience with reinforcement learning, supervised and unsupervised learning, probabilistic modeling, and optimization.
  • Experience moving research models into production at scale and working with real-time inference systems.
  • Strong product judgment, user empathy, and the ability to balance rider experience with operational and business outcomes.
  • Experience working with external customers or partners in ambiguous, real-world environments.
  • Ability to communicate technical model architecture and product strategy to engineering, product, and transit leadership audiences.

Culture & Benefits

  • Work on technology intended to improve public transportation and support underserved communities.
  • Comprehensive health coverage with low-cost dental and vision plans.
  • 401(k) with company matching and vesting.
  • Fully paid parental leave with extended leave options.
  • Mental health support, pet insurance, wellness benefits, and 20 days of paid time off annually.

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