Koidra

Centana Thu Thiem, Mai Chi Tho, TP Hồ Chí Minh

Quy mô công ty : 10-24

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Tóm lược

10-24

Product

Việt Nam

Senior Machine Learning Engineer

Koidra

Quận 2, TP Hồ Chí Minh

  • English
  • Có kinh nghiêm (Nhân viên)
  • Toàn thời gian
  • Thỏa Thuận
  • Ngày Đăng:07/04/2026
  • 1

Mô tả công việc

Tóm tắt công việc

  • Build and train machine learning models with physical constraints
  • Work on simulation, optimization, and control problems
  • Apply ML to real-world systems (not just offline experiments)
  • Collaborate with software engineers to bring models into production

Yêu cầu công việc

  • Strong background in Machine Learning / Deep Learning
  • Experience with numerical methods, simulation, or physics-based modeling
  • Comfortable working with Python (NumPy, PyTorch, etc.)
  • Ability to turn theory into real-world applications

Bonus / Strong signal

  • Experience with Rust (small but high-signal community — strong Rust engineers tend to be highly capable)
  • AI-native workflow: integrating AI tools (e.g., Claude Code, Codex) across the development lifecycle — from problem exploration and coding to debugging and iteration
  • Experience with control systems / optimization
  • Background in physics / engineering
  • Experience deploying ML systems

Ngôn ngữ

  • English

    Nói: Intermediate - Đọc: Intermediate - Viết: Intermediate

Yêu cầu kỹ thuật

  • Machine Learning
  • Deep Learning
  • Python
  • PyTorch
  • Numpy
  • Rust
  • Claude

Thông tin doanh nghiệp

Koidra is the leading provider of intelligent automation solutions.

Our mission is to empower manufacturing facilities including high-tech greenhouses, wood pellet plants and food processing factories to meet their production and sustainability goals while keeping costs down.

Our interdisciplinary approach combines machine learning, IoT, Math, Physics, and expert knowledge to enhance operational precision and efficiency beyond human capabilities. Our intelligent automation solutions enable operators to increase their span of control and reduce dependence on human expertise. We make industrial automation smarter, easier to deploy and evolve, hence, more scalable.