Senior Research Engineer - Video & Audio Generative AI / ML Job at Canva in San

Overview

Senior Research Engineer - Video & Audio Generative AI / ML

Join to apply for the Senior Research Engineer - Video & Audio Generative AI / ML role at Canva

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

You’re Probably a Match If You

Additional Information

We make hiring decisions based on your experience, skills, merit and business needs, in compliance with applicable local laws. We celebrate all types of skills and backgrounds at Canva so even if you don’t feel like your skills quite match what’s listed above - we still want to hear from you!

When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. Please note that interviews are conducted virtually.

At Canva, we value fairness, and we strive to provide competitive, market-informed compensation whilst ensuring internal equity within the team in each region. The target base salary range for this position is $220,000 - $260,000.

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.

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