Live opening · Posted 8 days ago
At a glance
The key details from the original listing.
About the role
Description supplied by the original job listing.
Compensation: Unpaid Internship (with potential for full-time transition)
WHAT YOU'LL DO
You'll build the AI systems our portfolio companies depend on: the models, pipelines, and intelligent infrastructure that drive real-world outcomes.
This is hands-on AI engineering. You'll take models from concept to deployment, find and fix failures in live systems, tighten performance and reliability, and help ship AI into production.
YOUR WORK
Building and fine-tuning machine learning models for production use
Designing and maintaining data pipelines and model training workflows
Integrating AI models into applications, APIs, and backend services
Debugging model performance issues and improving accuracy and reliability
Working with large language models, embeddings, retrieval systems, and agent architectures
Testing AI features and supporting deployment into production environments
Collaborating with engineers and technical teams on AI system design and implementation
WHO WE ARE
Our wider group builds and operates companies internationally, with experience across New York, London, Tokyo, and Bali. Today, our teams work from a 4,000 sqm campus in Canggu across energy, bioproduction, AI, engineering, software, and education.
Zero-X — Thermochemical conversion and distributed energy, with 200+ systems live across 11 countries.
Seraph Group — Decentralized bioproduction combining AI, robotics, and synthetic biology on one platform.
Gemino AI — Safe Reinforcement Learning for industrial control. Core platform OptiVX powers autonomous plant operations and aquatic biomass management, alongside Project Maya, a wearable AI platform.
WHO YOU ARE
Have completed or are close to completing a university degree in Computer Science, AI, Machine Learning, Data Science, Software Engineering, or a closely related technical field
Have hands-on experience with Python, PyTorch or TensorFlow, model training, data pipelines, APIs, Git, and modern AI development workflows
Have a solid understanding of machine learning fundamentals, model architecture, training pipelines, and evaluation
Have experience through university projects, internships, personal projects, or other practical AI work
Can work independently, learn quickly, and solve technical problems
Are able to work fully on-site in Bali, Indonesia for 4-6 months
WHAT WE PROVIDE
4-6 month internship in Bali, Indonesia
25-hour work week: 11 AM to 5 PM
On-campus rooms available at competitive rates
Daily lunch included
Strong interns can move into a full-time role across the group after the internship
Work arrangement
No
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