aipythonsqlgamedevmachine learningpytorchreinforcement learningcontextual banditsreal time predictive modeling
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
$180к-220к/год
$220к$250кмедиана$300к
По похожим ролям (49) ~ $250к/год
На СНГ рынке: $4.2к/мес ($3.6к - $5.6к)
75
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Роль четко определена с ясным акцентом на ИИ и машинное обучение в мобильной игровой сфере, но отсутствие информации о зарплате является недостатком.
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Зарплата не указанаСильная корпоративная культураПродуктовая компанияСовременный стек технологий
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff Machine Learning Engineer (Gaming): Designing and productionizing machine learning-driven rewards economy systems for a mobile gaming loyalty platform with an accent on real-time predictive modeling, contextual bandits, and reinforcement learning. Focus on personalizing incentives, balancing player value with sustainable unit economics, and translating business goals into algorithmic constraints.
Location: Hybrid in Los Angeles, CA; Oakland, CA; New York, NY; or Toronto
Salary: $180,000–$220,000 USD per year in base salary; typical starting salary is $190,000 USD for candidates fully ready for the role scope. Final offers vary by experience and location. Bonus, equity, and additional benefits are provided separately.
Company
hirify.global operates a loyalty app for mobile gamers where users discover games, earn rewards, and redeem them for gift cards.
What you will do
Lead the strategy for hirify.global’s rewarding and loyalty economy in a cross-functional group.
Create and implement machine learning-driven rewards economy systems and core loops.
Analyze and optimize economy strategies and implementations to improve engagement and business outcomes.
Design and productionize contextual bandits and reinforcement learning frameworks to personalize reward distribution in real time.
Architect the rewards economy, balancing player value, incentives, and sustainable unit economics.
Partner with Product, Analytics, Engineering, and Finance to translate business goals into algorithmic constraints and incentive structures.
Requirements
8+ years of experience in Data Science, Machine Learning, Quant, Econometrics, or related fields, or a Master’s or Ph.D. in Data Science, Machine Learning, or a related quantitative field.
Understanding of reinforcement learning, including DeepQ and contextual bandits.
Expertise implementing machine learning models with Python and PyTorch.
Strong data analysis skills using SQL and Python.
Experience in Quant, Data Science, or related fields, with foundational understanding of economy and core loop design in gaming or similar contexts.
Knowledge of real-time predictive modeling and interest in innovative AI solutions.
Ability to explore and implement solutions quickly while maintaining a strategic focus on core loops and economy design.
Nice to have
Prior experience in ad-tech or mobile gaming focused on player behavior economics and engagement strategies.
Expertise suitable for up-leveling the position to Principal.
Culture & Benefits
Hybrid work environment with virtual and in-person activities.
Team lunches, game nights, and company-wide events.
Growth-oriented culture that encourages ideas, calculated risks, and experimentation.
Data-informed environment focused on continuous learning, improvement, and adaptation.
Bonus component, equity, and additional benefits alongside base salary.
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