Computer Vision and AI Intern

To clarify, candidates are first required to complete a three-month unpaid internship in Bali so we can assess fit and performance. If this initial stage goes well, we would be pleased to discuss the potential transition to a paid internship position in Australia.

Role Overview

As a Computer Vision and AI Intern, you will work on developing innovative AI-driven computer vision solutions. You will be exposed to state-of-the-art technologies, where you will use your engineering background to contribute to real-world applications of AI, from object detection to facial recognition, and much more.

Key Responsibilities 

• Develop and implement computer vision models to tackle challenges like object detection, image segmentation, and visual data analysis.
• Use Python, OpenCV, and deep learning frameworks like TensorFlow and PyTorch to build effective visual recognition systems.
• Evaluate and improve model performance by refining training techniques, using proper validation metrics, and applying real-world feedback.
• Contribute to the optimization of vision algorithms, ensuring they perform efficiently across varying environments and hardware.
• Assist in managing data pipelines for computer vision applications, ensuring clean, structured data for effective model training.
• Work with cross-functional teams to integrate computer vision solutions into broader AI systems and products.

Role-Relevant Skills

• Computer Vision Techniques: Strong understanding of object detection, image classification, and image segmentation techniques using Python and OpenCV.
• Deep Learning Integration: Familiar with implementing machine learning models and neural networks in TensorFlow or PyTorch for visual data analysis.
• Data Pipeline Management: Ability to work with clean, structured datasets and optimize preprocessing techniques for model training.
• Model Evaluation: Skilled in performance tuning and evaluating models using standard vision metrics (e.g., accuracy, precision, recall).
• Cross-Functional Collaboration: Comfortable collaborating with engineering teams to align computer vision solutions with broader AI systems.
• Problem-Solving: Proactively identifying issues with algorithms or datasets and troubleshooting to improve system performance.

What We’re Looking For

• Can-do Attitude: You have a proactive mindset and an entrepreneurial spirit. You are self-driven and can thrive in fast-paced work environments.
• Ambitious: You are highly adaptive and curious, and motivated to learn new skills.
• Learning Agility: You are committed to continuous learning, adapting in dynamic environments, and tackling problems head-on.

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• AI Tech-savvy: You have prior experience in leveraging AI to accelerate workflows.
• Independent and Collaborative: You can work independently while working effectively with others, as part of a cross-functional team.
• International: You have a global mindset and can work in a diverse team.

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 Offer

This internship provides direct exposure to how companies scale operations. We actively support connections to opportunities that align with career goals. Work hours are 11 AM to 5 PM, providing flexibility to balance professional development with life in Bali. Housing options are available based on preference, from quiet, focused environments to collaborative co-living spaces. You will be part of an international community of entrepreneurs, building meaningful networks and relationships.

Important Note: This is an unpaid internship. We do not cover accommodation, visa, or flights. What we offer is the opportunity to build practical skills, free lunch, work on real business challenges, and gain experience in a high-growth environment.

Relocation: Mandatory relocation to Bali, Indonesia. No remote options available.

Start Date: ASAP