This position presents a career growth opportunity to a paid internship position in Australia. 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.
Location: Bali, Indonesia (On-site only)Compensation: Unpaid Internship (with potential transition to a paid internship in Australia)
Role Overview
Join our team as a Machine Learning Engineer Intern, where you will be responsible for building and improving AI models that drive our products and services. This is an exciting opportunity to work with cutting-edge technologies, using Python and frameworks such as PyTorch and TensorFlow to develop real-time, scalable AI solutions.
Key ResponsibilitiesDesign, build, and enhance machine learning models using Python, PyTorch, and TensorFlow, focusing on scalable, high-performance AI solutions.Collaborate with cross-functional teams to integrate machine learning models into existing systems, ensuring smooth deployment and performance.Conduct thorough testing and validation of models to optimize their accuracy and generalization to new data.Engage in continuous improvement by experimenting with different machine learning algorithms and fine-tuning hyperparameters for better results.Participate in data preparation tasks, including data cleaning, feature engineering, and model evaluation.Document model development processes and results, ensuring clarity for team collaboration and future reference.
Role-Relevant SkillsMachine Learning Frameworks: Proficient in Python, PyTorch, and TensorFlow for building and optimizing AI models.Data Processing: Strong ability to preprocess data, engineer features, and ensure data quality for model training.Algorithm Development: Experience with implementing deep learning algorithms (CNNs, RNNs, GANs) and fine-tuning models.Experimentation & Evaluation: Ability to experiment with various hyperparameters and evaluate model performance using appropriate metrics.Collaboration: Effective teamwork and communication with cross-functional teams (e.g., engineering) to integrate models into systems.Documentation: Skill in documenting model development, processes, and results for internal teams and future scalability.
Learning OutcomesYou 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 Were 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.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.
What We OfferThis 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: The initial position in Bali 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
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.
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