Key Skills

Job Description

BALI, INDONESIA · ON-SITE · UNPAID · 4 TO 6 MONTHS · PATH TO FULL-TIME Build AI that controls physical systems, not chatbots. You'll work on reinforcement learning, computer vision and sensor-driven inference for industrial plants, bioproduction lines and edge devices. Your models run in production on real hardware. Who we are We build and operate a portfolio of companies from a 4,000 sqm campus in Canggu, Bali, with 20+ years of company building across New York, London and Tokyo. Interns work across our portfolio companies, for example: • Zero-X: thermochemical conversion and distributed energy, with 200+ systems live in 11 countries. • SERAPH: decentralized bioproduction combining AI, robotics and synthetic biology on one platform. • Gemino AI: safe reinforcement learning for industrial control. Its OptiVX platform runs autonomous plant operations and aquatic biomass management, alongside Project Maya, a wearable AI platform. What you'll work on • Train and fine-tune models for industrial control, process optimization and sensor-based inference. • Build data pipelines: ingest, clean and label sensor streams and production data. • Deploy models into production, including on edge hardware and on-site inference nodes. • Evaluate model performance against real-world industrial metrics, not just benchmark scores. • Collaborate with software and hardware engineers to integrate models into live systems. • Document experiments, architectures and results for reproducibility. What we're looking for • Degree in Computer Science, Machine Learning, Data Science, Engineering or a related technical field (completed or final year). • Comfortable with Python, PyTorch or TensorFlow, NumPy, pandas and Jupyter. • You understand ML fundamentals: supervised learning, neural nets, evaluation methodology. • A portfolio of ML work: a trained model, a competition entry, a project or research paper. • You work independently, learn fast and solve problems on your own. What you get • Models deployed in production, not left in a notebook — real industrial impact. • 11 AM to 5 PM, daily lunch included. • On-campus rooms at competitive rates. • A path into a full-time role across the group for strong performers. Good to know: this is an unpaid, fully on-site internship in Bali. No remote or hybrid option. Apply below with your CV and a project you built.

Core Responsibilities

Train and fine-tune models for industrial control, process optimization, and sensor-based inference; build pipelines for production and sensor data; and deploy models to production systems, including edge hardware. Evaluate models using real-world industrial metrics, collaborate with software and hardware engineers to integrate them into live systems, and document experiments and results.

Requirements

Applicants must have completed or be in their final year of a degree in computer science, machine learning, data science, engineering, or a related technical field. They should be comfortable with Python and common machine-learning tools, understand core ML fundamentals, have a portfolio project or research work, and be able to work independently and learn quickly.

Benefits

• Daily Lunch
• On-Campus Rooms At Competitive Rates
• Path To A Full-Time Role