Canva

Machine Learning Engineer focused on optimizing the training system for large-scale multimodal and foundation models, involving distributed systems, performance tuning, and low-level optimization.

Senior Machine Learning Engineer focused on building and scaling agentic AI systems, specifically ensuring reliable, safe, and scalable tool calling across a large ecosystem of agents. The role involves designing tool schemas, building evaluation pipelines, and collaborating with GenAI and platform teams to create a foundational interoperability layer for AI integrations.

Senior Machine Learning Engineer focused on agentic AI, specifically on making tool calling reliable, safe, and scalable across Canva's ecosystem. The role involves designing systems for agents to discover and invoke capabilities, building tool schemas, and developing evaluation infrastructure for production quality.

Senior Machine Learning Engineer focused on agent tool interoperability, ensuring reliable, safe, and scalable tool calling for agents within Canva's ecosystem. The role involves designing systems for tool discovery, invocation, and execution, building evaluation pipelines, and collaborating with GenAI and platform teams to integrate agentic capabilities.

Research Scientist focused on AI efficiency for generative models (design, video) in multimodal domains. The role involves optimizing AI from low-level kernels to high-level model distillation, architecture design, and inference systems. Emphasis on pushing boundaries for powerful yet computationally efficient models, with contributions to production features and community publications.

Staff Machine Learning Engineer responsible for building and evolving Canva's AI integration layer, connecting Canva's design capabilities to leading AI assistants. This involves defining AI-ready tools and APIs, owning evaluation frameworks, shaping agent architecture, building observability systems, and influencing integration strategy with AI partners.

Senior Research Scientist role focused on audio-video storytelling research, developing and integrating cutting-edge AI technologies for audio, video, and multimodal content generation and analysis. The role involves leading research initiatives, translating insights into practical applications, optimizing models, and collaborating with cross-functional teams to enhance user experiences and drive product innovation.

Senior Research Scientist focused on Reinforcement Learning, Mixture of Experts (MoEs), and agentic systems for multimodal AI in design. The role involves research, development, and shipping of post-training techniques, reward modeling, and agent stack components, with a strong emphasis on scaling and reliability.

Senior Research Scientist focused on Reinforcement Learning, Mixture of Experts (MoEs), and Agentic Systems for multimodal applications. The role involves developing agent systems, scaling post-training and RL across distributed systems, contributing to research direction, building reward models, and developing evaluation methods. The goal is to convert research breakthroughs into reliable, safe, and high-quality product features.

Engineering Manager to lead a team building the core services for Canva's Generative AI media platform, focusing on model integration, vendor orchestration, inference infrastructure, and optimizing multi-modal AI systems (image, video, 3D) for millions of global users.

Canva is seeking a Senior Machine Learning Engineer to focus on the data foundations for their multimodal agent research. This role involves building and maintaining data pipelines, datasets, and tooling for training and evaluation loops, with a focus on text, image, and multimodal sources. The engineer will collaborate with researchers to translate requirements into data specifications, create evaluation datasets, and develop tooling for data construction, including human annotation and synthetic data generation. The role also emphasizes data quality, documentation, and implementing ML DevOps practices.

Canva is seeking a Senior Machine Learning Engineer to own the data lifecycle for their multimodal agent research. This role involves designing and building data pipelines, infrastructure for data processing and retrieval, and tooling for dataset construction, including human annotation and synthetic data generation. The engineer will collaborate with researchers to define data needs, ensure data quality, and contribute to the development of scalable training and evaluation loops for multimodal agentic systems.

Staff Machine Learning Engineer to drive the design, evolution, and architecture of AI integration layers, agent systems, and evaluation frameworks connecting Canva's design capabilities with leading AI assistants. The role involves defining standards for LLM interaction, pioneering agent communication, owning evaluation pipelines, building observability systems, and influencing integration strategy with partners like OpenAI and Google.

Senior Machine Learning Engineer at Canva, focusing on building and shipping ML-powered features for ad generation experiences within the Canva Grow product group. The role involves designing ML pipelines, running experiments, contributing to ML infrastructure, and applying Generative AI technologies like LLMs and diffusion models.

Senior Machine Learning Engineer at Canva to build, test, and ship ML-powered features for ad generation experiences, design scalable ML pipelines, and contribute to shared ML infrastructure. The role involves working across the ML lifecycle from data wrangling to deployment and monitoring, with a focus on Generative AI technologies like LLMs, diffusion models, RAG, and fine-tuning.

Senior Machine Learning Engineer at Canva to build and ship ML-powered features for ad generation experiences, design ML pipelines, and contribute to shared ML infrastructure. The role requires expertise across the ML lifecycle, experience with Generative AI (LLMs, diffusion models, RAG, fine-tuning), and a strong product mindset.

Machine Learning Engineering Manager to coach a team of Research Scientists and Machine Learning Engineers, build production-ready evaluation systems, and turn cutting-edge ML capabilities into delightful product experiences. Focus on owning evaluation infrastructure, building automated metrics for visual quality, and advising on human evaluation pipelines.

Canva is seeking a Machine Learning Engineering Manager to lead a team of Research Scientists and ML Engineers focused on building production-ready evaluation systems for AI-powered design features. The role involves coaching the team, setting technical strategy, and ensuring the deployment of robust, scalable ML systems, with a strong emphasis on visual models and evaluating aesthetic judgment.

Senior Backend Engineer role focused on building and scaling backend services for video AI infrastructure, developing APIs and pipelines for video model inference, and optimizing systems for performance. The role involves collaboration with ML Engineers and Researchers to productionize models and ensure the reliability and scalability of Canva's video platform.

Senior Machine Learning Engineer role focused on designing, scaling, and maturing the systems and infrastructure for AI model training workloads at Canva. The role involves working on a Kubernetes-based training platform, improving reliability, observability, and operational support, and contributing to platform capabilities for scheduling, resource allocation, and experiment management. Collaboration with research scientists, AI engineers, and infrastructure teams is key to shaping the platform's roadmap and enabling AI-powered experiences.

Senior Security Engineer focused on AI Security, responsible for designing and implementing security controls, conducting threat modeling and vulnerability assessments for AI systems, and collaborating with AI teams to ensure secure AI development and deployment at scale.

Staff Security Engineer focused on AI Security, responsible for defining strategic direction, frameworks, and controls for AI systems at scale, including model training pipelines and inference endpoints. The role involves novel research into AI security threats, threat modeling, vulnerability assessments, and penetration testing for risks like prompt injection and data extraction. It also includes driving detection rules, response playbooks, and establishing AI security standards and best practices across the organization.

Principal Solution Engineer for Canva's Ecosystem platform, focusing on integrating agentic AI systems with visual design. This role drives technical decisions and direction for external platform surfaces, grounds partner conversations in working code, and shapes strategic engagements with AI platforms and enterprise customers. Requires deep technical understanding of modern AI platform stacks and experience building developer platforms.

Product Manager for Canva's Data Platform, focusing on its AI-first evolution. This role will lead strategy and roadmap for data ingestion, transformation, orchestration, governance, and the Semantic Layer, with a specific emphasis on leveraging AI for analytics, insights, and decision-making. Responsibilities include defining AI-driven capabilities like conversational analytics, automated decisioning, and AI-powered self-serve insights, driving platform adoption, and strengthening governance.

Product Manager for Algorithms at Canva, focusing on personalization strategies. The role involves leading cross-functional teams to develop and implement ML algorithms to enhance user engagement and retention, discover new ML opportunities, integrate AI/ML models into products, and define the personalization roadmap. Requires expertise in ML, data analysis, personalization algorithms, and strong communication skills.

Senior Visual AI Designer role focused on the intersection of design, data, and AI research. Responsibilities include annotating and labeling visual data, evaluating AI-generated outputs, developing scoring rubrics, and providing structured feedback to ML engineers and research scientists. The role uses generative AI tools for prototyping and exploring model behaviors, contributing to the development of visual taxonomies and maintaining data quality.

Senior Machine Learning Engineer focused on AI Enablement within Canva's AI Platform Group. This role acts as a force multiplier, providing solution expertise and platform knowledge to researchers and AI builders globally. Responsibilities include facilitating model evaluations, optimizing inference performance, working with product teams on solutions, and developing blueprints for scalable AI implementations. The role emphasizes enabling others and accelerating the delivery of GenAI capabilities.

Senior Machine Learning Engineer to develop and deploy AI solutions for content moderation and review at Canva, focusing on automation, human-in-the-loop workflows, and content safety. The role involves end-to-end project delivery, cross-functional collaboration, and staying updated on ML trends.

Senior Machine Learning Engineer focused on automating content moderation and review for Canva's content library using AI, with a strong emphasis on human-in-the-loop workflows and ensuring content safety at scale. The role involves research, development, and deployment of ML solutions, working cross-functionally with product and design teams.

Senior Machine Learning Engineer focused on automating content moderation and review for Canva's content library, involving human-in-the-loop workflows and ensuring content safety at scale. The role involves researching, developing, and deploying AI solutions, working cross-functionally, and fostering a healthy team culture.

Senior Machine Learning Engineer focused on automating content moderation and review using AI, with a strong emphasis on human-in-the-loop systems and end-to-end delivery of solutions. The role involves research, development, and deployment of AI-based solutions for content safety and quality at scale within a consumer product context.

Senior Engineering Manager to lead the Context & Personalisation team within Canva's AI Supergroup. This role focuses on building systems that apply user context, preferences, brand signals, and history to create personalized AI experiences, acting as a platform enabler for other teams.

Senior Engineering Manager to lead the Context & Personalisation team within Canva's AI Supergroup. This role focuses on building systems that apply user context, preferences, brand signals, and history to create personalized AI experiences. Responsibilities include leading a multidisciplinary team, defining strategy and roadmap for the context platform, developing capabilities like AI Memory and brand-aware generation, designing scalable APIs, and driving adoption of AI features across Canva's ecosystem.

Machine Learning Engineer focused on adapting and deploying AI models (LLMs, generative AI, Rec Systems) for the Chinese market, involving fine-tuning, prompt engineering, data pipelines, and model serving.

Senior Engineering Manager to lead the Context & Personalisation team within Canva's AI Supergroup. This role focuses on building systems that apply user context, preferences, brand signals, and history to create personalised AI experiences, including AI memory and brand-aware generation. The manager will guide the evolution of a centralised context platform, enabling other teams to build AI-powered experiences, and will drive adoption across Canva's ecosystem. The role requires strong technical leadership, product thinking, and experience in AI/ML, recommendation systems, or data-driven platforms.

Senior Machine Learning Engineer at Canva, focusing on building and shipping ML-powered features for ad generation experiences within the Canva Grow product group. The role involves designing scalable ML pipelines, collaborating with cross-functional teams, running experiments, and contributing to shared ML infrastructure. Experience with Generative AI (LLMs, diffusion models, prompt engineering, RAG, fine-tuning) and a strong product mindset are essential.

Senior Machine Learning Engineer at Canva to build and ship ML-powered features for ad generation experiences, design ML pipelines, and collaborate with cross-functional teams. The role requires expertise across the ML lifecycle, including Generative AI technologies like LLMs, diffusion models, prompt engineering, RAG, and fine-tuning.