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3 дня назад

Staff Applied Scientist (AI)

169 000 - 252 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Staff Applied Scientist (AI): Leading R&D for core replenishment AI models to optimize fresh inventory control with an accent on stochastic optimization, demand forecasting, and multi-echelon supply chain modeling. Focus on building scalable, production-grade systems that directly reduce food waste and improve grocery operations at massive scale.

Location: Remote in Ontario, Canada. The role is also open to candidates residing in specific US states (AL, AR, CA, CO, FL, GA, IL, KY, MA, MI, MT, MO, NV, NJ, NY, NC, OR, PA, TX, WA, UT, VA, WI).

Salary: $169,000 - $252,000

Company

hirify.global is an AI-driven platform dedicated to reducing food waste in the grocery industry through advanced replenishment technology and high-volatility decision-making systems.

What you will do

  • Define the technical roadmap for replenishment R&D, including demand forecasting and inventory optimization.
  • Model complex supply chain challenges such as inventory decay, price elasticity, and uncertainty.
  • Develop and implement scalable, production-ready code for core replenishment systems.
  • Lead research initiatives for new product and business challenges.
  • Mentor scientists and engineers while setting high standards for experimental rigor and design.
  • Push the boundaries of AI capabilities in both product features and internal scientist workflows.

Requirements

  • MS or PhD in a quantitative field (Operations Research, Industrial Engineering, CS, etc.).
  • 8+ years of industry experience for MS holders or 4+ years for PhD holders.
  • Proven experience building systems for large-scale decision-making under uncertainty.
  • Strong proficiency in Python data stack (numpy, torch, pandas).
  • Excellent communication skills to translate complex math into business requirements.
  • Must be legally eligible to work without company sponsorship.

Nice to have

  • Understanding of ML Platform.
  • Passion for mentorship.
  • Experience in game theory, approximate dynamic programming, or network optimization.

Culture & Benefits

  • Comprehensive medical, dental, and vision coverage.
  • Flexible paid time off and a growth-oriented culture.
  • Home office stipend and coworking support for remote work.
  • Annual professional development budget for continuous learning.
  • Monthly stipends for wellness and telecommunications.

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