Machine Learning Engineering Manager - Evaluations
As Canva continues to expand its AI-powered features, the company is seeking a Machine Learning Engineering Manager to lead a team of Research Scientists and Machine Learning Engineers. This role focuses on developing production-ready evaluation systems and integrating advanced machine learning capabilities into user-centric product experiences. The position is based in Vienna, Austria, with a hybrid work model that offers flexibility between on-site and remote work.
The primary responsibilities include coaching and mentoring a high-performing team, designing and maintaining robust evaluation systems, and building automated metrics to assess human aesthetic judgment. The role also involves advising on human evaluation pipelines, setting technical strategies aligned with Canva's AI and product goals, and guiding engineering direction across model deployment and production systems. Collaboration with cross-functional teams is essential to ensure that machine learning capabilities translate into reliable product impact.
Candidates should have experience leading machine learning engineering teams and a strong track record of delivering production systems. Expertise in deploying and scaling generative models, particularly visual models, is required. Hands-on experience with machine learning infrastructure, evaluation pipelines, and monitoring systems at scale is essential. Strong systems design skills, experience with MLOps, and an understanding of design principles are also important. Effective communication and a commitment to continuous learning are key attributes for success in this role.
Canva offers a range of benefits, including equity packages, an inclusive parental leave policy, and an annual allowance to support wellbeing, social connection, and home office setup. Flexible leave options are available to empower employees to take time to recharge and support personal needs. The company fosters a culture of collaboration and innovation, providing opportunities for growth and development in a dynamic environment.