AI Research (Internship)

Leonardo.AI is an Australian generative AI start-up that has recently raised $47 million in funding. 

The Sydney-based company is aimed at people in creative industries, including gaming, advertising, fashion and architecture. It lets users save, edit and build images and video in real time, including dedicated model training for custom creations. Leonardo.Ai aims to be one of the biggest players in the generative AI space, and we are looking for talent to join the research team.

Leonardo.Ai offers four fully funded 3-month internships, paying a $3,000 AUD monthly stipend. You will be embedded into our  research lab and will conduct research under the following broad themes:

• Generative AI and LLMs;

• Deep learning;

• Neural Networks,

• Diffusion models;

• High performance computing.

In this internship, you will be paired with one of our generative AI researchers and you will work on a bleeding-edge project that will directly impact the company and site. This offers a unique opportunity to learn Generative AI skills from a leading Australian company, including being mentored by the engineers and researchers breaking ground in this field. 

Requirements:

• Current PhD students (ideally 2nd to 3rd year)  studying AI, Computer Vision, Data Science, Computer Science, Statistics, Mathematics, Physics or equivalent experience outside of academia.

• A high level of coding experience in Python, Linux, PyTorch and GitHub is desirable. 

• Outstanding interpersonal and communication skills with a demonstrated aptitude for research and high-functioning curiosity. 

• Willingness to learn and adapt to our research methods and technologies.

• Ability to work independently as well as part of a team in a fast-paced environment.

• Availability to commit to a full-time internship for the duration.

• The ability to travel weekly to our Sydney office is desirable, but remote applicants (international included) are also welcome. 

We anticipate students will take a leave of absence from their PhD, or integrate the internship into their PhD work. 

We anticipate that successful applicants will start working with us in mid-March.