Canva
Senior Research Engineer - Video & Audio Generative AI / ML
Canva, San Francisco, California, United States, 94199
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
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 Experience 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
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. Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
Software Development
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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
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 Experience 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
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. Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
Software Development
#J-18808-Ljbffr