aioptimizationmachine learninga b testingreinforcement learningcausal inferenceprobabilistic modelingmonte carlo tree search
Вакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями Для мэтча и отклика нужен Plus
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Зарплата и рынок
Средняя
$250к-310к/год
$220к$260кмедиана$290к
По похожим ролям (50) ~ $260к/год
На СНГ рынке: $7.5к/мес ($6.5к - $8к)
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Отличная вакансия
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Роль руководителя объединяет прикладные AI-исследования, продуктовую ответственность и внедрение решений в реальных условиях, а зарплата соответствует рынку. При этом широкий охват задач делает важным понимание состава команды и распределения нагрузки.
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Широкая зона ответственностиВысокая зарплатаПередовые AI-задачиОбщественная польза
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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