Figma is growing our team of passionate people on a mission to make design accessible to all. Born on the Web, Figma helps entire product teams brainstorm, design, and build better products — from start to finish. Whether it's consolidating tools, simplifying workflows, or collaborating across teams and time zones, Figma makes the design process faster, more efficient, and fun while keeping everyone on the same page. From great products to long-lasting companies, we believe that nothing great is made alone—come make with us!
We're looking for engineers with a Machine Learning and Artificial Intelligence background to improve our products and build new capabilities. You will be responsible for building core infrastructure to serve and deploy models efficiently, as well as world-class tooling that enables rapid iteration on models. You will combine industry best practices and a first-principles approach to design and build ML infrastructure that enhances Figma's design and collaboration tools.
What you'll do at Figma:
Build infrastructure to train, deploy, and serve models at scale.Partner with ML engineers to develop internal tools for model development and experimentation.Collaborate with applied research and product engineers to improve Figma's design and collaboration tools.Design and build ML infrastructure using industry best practices and a first-principles approach.We'd love to hear from you if you have:
5+ years of experience in backend or infrastructure roles.3+ years of experience in machine learning, ML infrastructure, or data infrastructure.Proven experience deploying ML models and managing the full lifecycle of model development.Ability to communicate and collaborate across functions to drive solutions.Additional pluses include:
Experience planning multi-year roadmaps aligning short-term projects with long-term vision.Mentoring or influencing senior engineers across organizations.At Figma, one of our core values is 'Grow As You Go.' We hire smart, curious individuals eager to learn and develop their skills. If you're excited about this role but your experience doesn't perfectly match the outlined points, we encourage you to apply—you might be the right fit for this or other roles.
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