Your Responsibilities
- Conduct research on generative world models and their applications in video games.
- Collaborate with researchers and game developers to brainstorm, discuss, and implement innovative solutions.
- Design and implement cutting-edge machine learning algorithms by analyzing and refining ML techniques to enhance model performance.
- Develop a proof of concept to demonstrate interactive experiences using world models.
- Work with cross-functional teams to communicate research plans and progress.
- Write reports and present research findings internally.
- Explore opportunities to share your work through publications and open-source contributions.
Your Qualifications
- You must be available for the entire duration of the work term with us.
- You must return to school for at least one semester following your co-op experience with us.
- Currently pursuing a Ph.D. in Computer Science, Machine Learning, Artificial Intelligence or a related field.
- Experience with programming languages like Python or C++.
- Proficient in machine learning frameworks such as PyTorch or TensorFlow.
- Skills in training machine learning models, including data collection, implementation, and evaluation.
- Publications, presentations or related contributions in world models or generative AI.
Resume Information:
- You must clearly indicate your expected graduation date in your resume to be considered.
- Clearly list any publications you have authored.
- Are you interested in games? Let us know!
- Are you involved in any extra-curricular activities or clubs? We want to hear about them!
We are only considering students who can work in Canada, will be enrolled in an accredited degree program throughout this Co-op, and slated to graduate December 2027 or later. You must be legally authorised to work in Canada on a full-time basis during the 8 month Co-op term. Visa sponsorship and relocation are not available for this position.
