Senior Research Engineer - Video & Audio Generative AI / ML

About the role:

In your role as Senior Research (Machine Learning) Engineer youll be at the heart of our mission to make advanced machine learning design tools easy for everyone to use. Your work will help create new features that make it simpler and more fun for Canva users to bring their ideas to life. By developing and integrating these cutting-edge technologies youll help us achieve our goal of empowering the world to design. Your contributions will enhance user experiences drive Canvas growth and keep us at the forefront of the design industry. Together well make a real impact and shape the future of design.

At the moment this role is focused on:

• Partnering with Research Scientists on research in multimodal generative AI translating theory into practical applications
• Porting experimental Python code to scalable testable and production-grade solutions incorporating performance benchmarks and robust testing practices
• Designing developing and implementing innovative model architectures and algorithms for multimodal design generation
• Building sustainable ML pipelines that support continuous integration deployment and monitoring of generative models in production environments
• Optimizing and scaling models for efficiency latency and throughput across large distributed systems
• Enhancing and maintaining high-quality datasets and annotations to fuel multimodal learning
• Investigating and addressing production incidents through root cause analysis and sustainable fixes
• Collaborating closely with cross-functional stakeholders across Canva to build aligned technically feasible and high-impact solutions

Youre probably a match if you:

• Have deep experience developing generative AI models including Diffusion Models GANs or Transformers and can speak to their real-world application
• Have successfully managed and optimized large-scale distributed training (e.g. across 100s of GPUs) and understand the infrastructure trade-offs
• Bring a strong understanding of ML principles and have used frameworks like PyTorch to develop and optimize performant models
• Demonstrate solid engineering practices clean code rigorous testing CI/CD workflows and robust observability in production
• re experienced working with cloud environments ideally AWS and understand how to scale ML systems in those contexts
• Are comfortable developing production-ready Python applications and ideally have familiarity with Java (backend) or JavaScript (frontend) tech stacks
• Thrive in ambiguity show end-to-end ownership of complex initiatives and consistently drive for pragmatic solutions
• Communicate clearly collaborate with kindness and value knowledge-sharing and co-creation across teams

Additional Information :

Other stuff to know

We make hiring decisions based on your experience skills and passion as well as how you can enhance Canva and our culture. When you apply please tell us the pronouns you use and any reasonable adjustments you may need during the interview process.  

At Canva we value fairness and we strive to provide competitive market-informed compensation whilst ensuring internal equity within the team in each region. We make hiring decisions based on your skills experience and our overall assessment of what we observed and learnt in the hiring process. The target base salary range for this position is $220000 - $260000.

When calculating offers we make salary decisions based on market data your experience levels and internal benchmarks of your peers in the same domain and job level.

Please note that interviews are predominantly conducted virtually. 

Remote Work :

Yes

Employment Type :

Full-time