What You'll Do
You’ll take ownership of a meaningful machine learning project from start to finish, working closely with an engineering team to design, implement, and refine solutions that have real impact. You'll write clean, maintainable code, contribute to technical documentation, and iterate based on feedback in a fast-moving environment.
Throughout the internship, you’ll collaborate with engineers and stakeholders across teams, gaining insight into how machine learning integrates into product development. You'll also have the chance to shape your own experience—whether through technical exploration, peer learning, or organizing team events.
Requirements
You're currently pursuing a degree with expected completion between 2027 and mid-2028, and you're based in Australia or New Zealand with valid work rights. You have a solid grasp of computer science fundamentals, particularly object-oriented programming, and you're proficient in Python.
You’re able to take statistical or machine learning concepts and turn them into functional, scalable implementations. You’re eager to grow your technical abilities and are curious about how AI can be applied thoughtfully to improve workflows. You must be available for a full-time, 12-week commitment from early December 2026 to late February 2027.
Preferred Qualifications
- Hands-on experience deploying machine learning models
- Familiarity with data processing platforms such as Spark or Hadoop
- Working knowledge of ML frameworks including Scikit-learn, TensorFlow, or PyTorch
- Experience using interactive notebooks for data exploration and prototyping
Benefits
- Lead a real project from ideation to delivery
- Receive mentorship from experienced engineers
- Access a budget to organize your own intern-led social events
- Attend an in-person week in Sydney to connect with your team and experience the work environment firsthand
- Work remotely, on-site if local, or in a blended setup based on your preference
