Location: Bali, Indonesia (On-site only) Duration: 4–6 months Compensation: Unpaid Internship
Role Overview
As a Computer Vision & AI Intern based in Bali, you will work with the team to design and implement computer vision and AI systems, focusing on enhancing the visual capabilities of our products. Your role will leverage your electrical engineering background to ensure accurate hardware integration and performance of vision systems.
Key Responsibilities
* Apply electrical engineering principles to enhance the integration of computer vision algorithms with hardware systems, optimizing performance.
* Assist in developing real-time image processing systems, working with sensor technologies and hardware integration to support AI‐driven applications.
* Leverage Python and OpenCV to implement robust vision algorithms that interact with electrical components such as cameras and sensors.
* Troubleshoot and calibrate hardware to improve system accuracy and operational efficiency in various applications.
* Perform testing and validation to ensure that both the vision systems and hardware are working seamlessly in real‐world scenarios.
* Collaborate with the engineering team to ensure that vision algorithms are properly integrated into hardware and software systems.
Role-Relevant Skills
* Currently pursuing or recently graduated from a Bachelor's / Master's degree in electrical engineering.
* Hardware‐Software Integration: Expertise in integrating computer vision algorithms with hardware systems, focusing on sensor technologies.
* ML‐related Tools: Proficiency in Python and OpenCV to develop vision algorithms that communicate with embedded hardware.
* Signal Processing: Understanding of signal processing and hardware calibration for enhancing vision system performance.
* Real‐Time System Development: Ability to design and optimize real‐time computer vision systems for various applications.
* Troubleshooting & Calibration: Strong troubleshooting skills for resolving issues with hardware and vision system integration.
* Collaboration: Effective teamwork with cross‐functional engineering teams to refine systems and ensure hardware/software harmony.
Learning Outcomes
You will gain practical experience in your field, learn to leverage AI tools to scale operations, and develop a deep understanding of how high‐growth organizations build and manage teams. You will learn to think strategically, manage multiple stakeholders, and develop systems that drive operational efficiency. This experience will position you for roles at startups, venture‐backed companies, and growth‐stage organizations.
What We're Looking For
* Can‐do Attitude: Proactive mindset and entrepreneurial spirit.
* Ambitious: Highly adaptive and curious, motivated to learn new skills.
* Learning Agility: Commitment to continuous learning, adapting in dynamic environments, tackling problems head‐on.
* AI Tech‐savvy: Prior experience in leveraging AI to accelerate workflows.
* Independent and Collaborative: Ability to work independently and effectively with cross‐functional teams.
* International: Global mindset and ability to work in a diverse team.
* English: Professional working proficiency in English.
What We Offer
* Unpaid internship with direct exposure to how companies scale operations.
* Work hours: 11 AM – 5 PM, providing flexibility to balance professional development with life in Bali.
* Housing options available based on preference, from quiet focused environments to collaborative co‐living spaces.
* Opportunity to build practical skills, free lunch, work on real business challenges, and gain experience in a high‐growth environment.
* International community of entrepreneurs, building meaningful networks and relationships.
* Relocation is mandatory to Bali, Indonesia – no remote options available.
* Start Date: ASAP.
Important Note: This is an unpaid internship. We do not cover accommodation, visa, or flights.
We encourage you to apply even if you do not meet all of the listed requirements. We value diverse experiences and are open to candidates who are eager to grow and contribute to our team.
#J-18808-Ljbffr