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6 часов назад

Staff AI/ML Engineer (Logistics)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Staff AI/ML Engineer (Logistics): Building the AI core for a logistics platform with an accent on multi-agent systems and predictive optimization models. Focus on automating manual operational workflows and developing a continuous learning loop for real-time decision intelligence.

Location: Remote (Must be based in the United States or Canada)

Company

hirify.global is a logistics technology company redefining delivery processes through AI-native solutions, backed by leading Silicon Valley investors.

What you will do

  • Design and ship production AI systems, including multi-agent orchestration and specialized agents.
  • Automate operational workflows across onboarding, support, and data understanding to reduce processing time.
  • Build forecasting, prediction, and optimization models to drive operational decisions.
  • Develop the learning loop and evaluation infrastructure for continuous model improvement.
  • Establish reliability guardrails, observability, and tracing for complex AI workflows.
  • Mentor engineers and optimize the prototyping-to-production pipeline.

Requirements

  • Proven experience shipping production AI/ML systems at scale.
  • Deep expertise in Generative/Agentic AI (LangGraph, LangChain, RAG, etc.) or Applied ML (forecasting, optimization).
  • Ability to design and implement robust evaluation frameworks tied to business outcomes.
  • Strong proficiency in Python and modern API frameworks like FastAPI.
  • Experience building for high-stakes, operationally complex environments.
  • Must be based in the United States or Canada.

Nice to have

  • Background in logistics, supply chain, transportation, or mobility.
  • Knowledge of Operations Research, Reinforcement Learning, or Bandits.
  • Experience with multimodal document understanding or browser automation.
  • Proficiency in production MLOps and real-time streaming systems.

Culture & Benefits

  • Fully remote work environment with periodic in-person offsites.
  • Competitive salary, stock options, and performance-based bonuses.
  • Comprehensive medical, vision, and dental insurance.
  • Fast-paced, high-ownership culture that values speed and iteration over process.

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