Internship
Intern, AI/ ML and Industry 4.0
Coherent Corp
•
14d 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.
Description
- 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.
Requirements
- 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
Data
Software Engineering
Responsibilities
- 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.
Details
Work type
Full time
Work mode
office
Location
Santa Clara