3 weeks ago

PhD Research Scientist Intern

Canva

Sydney

3 weeks ago

Apply

Canva is seeking current PhD students for a full-time, 16-week AI Research Scientist Internship based in Sydney. The intern will work on a live industry-scale project focused on pruning and optimizing foundational video generative models, collaborating with researchers and engineers to bring findings toward production.

Core AIHybridInternshipInternshipGenerative ModelsMachine Learning

PhD Research Scientist Intern

Apply

Core AIHybridInternshipInternshipGenerative Models

Salary

Not specified

Work Location

Sydney, New South Wales, Australia, AU

Work Model

Hybrid: option to work from home and collaborate in-person on campus in Sydney

Employment Type

Internship

Experience Level

Currently completing a PhD (ideally third year or later)

Contract Length

4 months

Core Qualifications

Technical (Must-have)

Generative ModelsMachine LearningModel PruningDMDLoRAData ProcessingModel TrainingEvaluationResearch Code Development

Soft Skills

CommunicationCollaborationScientific Rigour

Key Responsibilities

•Task-specific parameter pruning of foundational video generative models
•Combining pruning with complementary optimisation techniques (e.g., DMD, LoRA-based methods)
•Measuring compute cost, latency, and quality trade-offs with rigorous evaluation
•Collaborating with research, engineering, and product teams to move findings toward production
•Contributing to the broader research community through publication where results support it

AI ResearchInternshipGenerative AIMachine LearningSoftware DevelopmentSydneyPhDVideo ModelsModel Optimization

Key Responsibilities

•Task-specific parameter pruning of foundational video generative models

•Combining pruning with complementary optimisation techniques (e.g., DMD, LoRA-based methods)

•Measuring compute cost, latency, and quality trade-offs with rigorous evaluation

•Collaborating with research, engineering, and product teams to move findings toward production

•Contributing to the broader research community through publication where results support it