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11 часов назад

Software Engineer, Core Technology (ML/Framework Engineering)

Формат работы
remote/onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US/China
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Software Engineer, Core Technology (ML/Framework Engineering): Building technical foundations for a motion-sensing active play platform with an accent on ML infrastructure and cross-platform framework development. Focus on optimizing real-time inference, designing training pipelines, and implementing hardware abstraction layers.

Location: Hong Kong or Remote

Company

hirify.global creates interactive active play experiences for families using motion-sensing technology and the hirify.global Playground system.

What you will do

  • Design and build training pipelines, data workflows, and model integration systems to accelerate ML research iteration.
  • Develop infrastructure for large-scale data collection, curation, and preprocessing.
  • Design and develop a performant cross-platform framework for sensing, detection, haptics, and ML inference.
  • Build efficient runtime execution systems and hardware abstraction layers for real-time multimodal data streams.
  • Write clean, well-tested code and participate in code reviews to maintain high engineering standards.
  • Collaborate with ML researchers and leadership to align on priorities and technical direction.

Requirements

  • 3+ years of professional software engineering experience in production ML systems, real-time frameworks, or performance-critical applications.
  • Proficiency in Python (for ML track) or C++/C# (for Framework track).
  • Hands-on experience with PyTorch or TensorFlow (for ML track) or cross-platform development (for Framework track).
  • Proven track record with performance optimization, MLOps practices, or hardware abstraction layers.

Nice to have

  • Experience with distributed training systems, GPU-accelerated computing, or containerization (Docker).
  • Familiarity with computer vision, signal processing, or embedded systems.
  • Background in startups, high-growth environments, or consumer product companies.
  • Contributions to open-source ML projects or research publications.

Culture & Benefits

  • Competitive compensation package.
  • Flexible working hours and vacation policy.
  • Product-driven culture that treasures talent and individual growth.
  • Hands-on experience with cutting-edge technologies in the evolving gaming field.

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