Senior Research Engineer - Video & Audio Generative AI / ML

About the Role

Key Responsibilities

• 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

Requirements

• Deep experience developing generative AI models, including Diffusion Models, GANs, or Transformers, and can speak to their real-world application
• Successfully managed and optimized large-scale distributed training (e.g., across 100s of GPUs) and understand infrastructure trade-offs
• Strong understanding of ML principles and experience with frameworks like PyTorch to develop and optimize performant models
• Solid engineering practices including clean code, rigorous testing, CI/CD workflows, and robust observability in production
• Experience working with cloud environments, ideally AWS, and understanding how to scale ML systems in those contexts
• Comfort developing production-ready Python applications, and ideally familiarity with Java (backend) or JavaScript (frontend) tech stacks
• Thrive in ambiguity, show end-to-end ownership of complex initiatives, and drive pragmatic solutions
• Effective communication skills, collaboration, and a value for knowledge-sharing and co-creation across teams

Nice to Have

• Experience with Java or JavaScript in addition to Python

Qualifications

• Not explicitly specified in the description

Benefits & Perks

• Competitive, market-informed compensation
• Flexible hybrid work environment (work from home or office)
• Opportunity to work at a company redefining how the world experiences design