Logo of Huzzle


Intern, AI/ ML and Industry 4.0

Logo of Coherent Corp

Coherent Corp

1mo ago

🚀 Off-cycle Internship

Santa Clara

AI generated summary

  • You must have at least 2 years of Python programming experience, knowledge of Deep Learning frameworks, databases, IoT protocols, and hands-on electronics/sensor experience. Be a creative problem solver and quick learner.
  • You will design, implement, and test AI tools for Industry 4.0, using electronics and IoT protocols. Collaborate with teams, document projects, and follow DevOps principles.

Off-cycle Internship

Data, Software EngineeringSanta Clara


  • Depending on location, this position may be responsible for the execution and maintenance of the ISO 9000, 9001, 14001 and/or other applicable standards that may apply to the relevant roles and responsibilities within the Quality Management System and Environmental Management System.


  • Education & Experience:
  • Minimum of 2 years enrolled in an engineering, computer science, or related undergraduate program.
  • 2+ years of hands-on Python programming experience.
  • Proven ability to communicate complex ideas effectively, work independently, and solve problems creatively.
  • While expertise across all AI areas isn't expected, a willingness to rapidly learn and adapt is essential.
  • Skills:
  • Required:
  • Exceptional Python proficiency.
  • Familiarity with Deep Learning/Reinforcement Learning frameworks (e.g., TensorFlow, PyTorch).
  • Strong problem-solving and troubleshooting abilities.
  • Functional knowledge of databases (e.g., PostgreSQL).
  • Ability to translate physical system requirements into software solutions.
  • Highly Desirable Skills
  • Experience with computer vision libraries (e.g., OpenCV).
  • Understanding of IoT protocols (e.g., MQTT).
  • Hands-on experience with electronics (e.g., Raspberry Pi) and sensors.

Education requirements

Currently Studying

Area of Responsibilities

Software Engineering


  • Design, develop, and implement AI tools for Industry 4.0/5.0, focusing on areas like computer vision, deep learning, and reinforcement learning.
  • Prototype solutions using electronics (e.g., Raspberry Pi), sensors, and IoT protocols (e.g., MQTT).
  • Gather design requirements, assess build vs. buy tradeoffs, design proof-of-concepts, and test solutions in real-world environments for physical and spo.
  • Collaborate across the organization (manufacturing, engineering, etc.) to identify and implement high-impact AI solutions.
  • Produce thorough documentation for AI projects to ensure maintainability and knowledge transfer.
  • Adhere to DevOps principles and workflows.


Work type

Full time

Work mode



Santa Clara