Machine Learning Engineering Manager - Evaluations
The Machine Learning Engineering Manager - Evaluations at Canva leads a specialized team within Canva’s fast-growing machine learning division. This role focuses on advancing the company’s AI capabilities by ensuring the integrity, reliability, and responsible deployment of ML models across Canva’s global design platform. As an Engineering Manager, you will work closely with other AI leaders and product teams to strengthen Canva’s reputation for innovative, robust, and scalable AI solutions.
This position involves overseeing the end-to-end evaluation process of machine learning models, from automated testing and benchmarking to quality assurance and fairness assessments. You will guide your team to design scalable evaluation systems, set rigorous standards for success, and collaborate with applied scientists, engineers, and product managers to ensure models meet both performance and ethical standards. Day-to-day responsibilities include project management, mentorship, and hands-on technical contribution.
Candidates should have a strong background in machine learning and software engineering, with several years of experience leading high-performing technical teams. Proficiency in designing and deploying evaluation pipelines, deep familiarity with statistical analysis and experimental design, and significant experience working with modern ML frameworks and tools are required. Excellent leadership, communication, and project coordination skills are essential, as is a passion for building reliable and compliant AI technology at scale.
Canva offers a competitive salary package, equity options, flexible working arrangements including hybrid and remote work, generous leave policies, professional development allowances, and a range of wellness programs and other perks designed to support employee growth and well-being.
The company is recognized for its collaborative culture, rapid innovation, and commitment to diversity and learning. Joining Canva provides unique opportunities for career acceleration and direct impact on products used by millions globally. If you are driven by technical challenges and motivated to contribute to world-class AI deployment and evaluation practices, this is a compelling next step in your career.