We’re building our first dedicated ML Infrastructure team from the ground up to help develop and launch new AI capabilities across Figma’s products. You will be building and leading the team that owns the core infrastructure to serve and deploy models efficiently, as well as world-class tooling that enables us to iterate on models quickly. You will be combining industry best practices and a first-principles approach to design, and build ML infrastructure that will improve Figma’s design and collaboration tool.
This is a full time role that can be held from one of our US hubs or remotely in the United States.
What you’ll do at Figma:
- Manage, support and develop a team of engineers who design and build scalable services to power Figma’s infrastructure.
- Design infrastructure to train, deploy, and serve models at scale.
- Partner directly with ML/AI leaders, engineers, and researchers to build internal tools for model development and experimentation.
- Combine industry best practices and a first-principles approach to design and build ML infrastructure.
- Evangelize best practices throughout the engineering team to keep code quality high.
- Partner with engineering leadership to set strategy, priorities, and mission for teams and projects.
- Establish trust within and across teams by creating accountability and a positive work environment in partnership with other leaders in the organization.
- Grow your career in an engaged and creative engineering community
- Figma is committed to building an inclusive and diverse team and culture. We expect all of our leaders to play a role in helping to build and drive these initiatives through hiring, community events, and other programs in partnership with teams across all of Figma.
We'd love to hear from you if you have:
- 3+ years managing an engineering team of at least 5 people
- 6+ years overall industry experience building and scaling distributed systems and infrastructure components as a leader and/or individual contributor
- Experience managing Staff+ engineers with 10+ years of experience.
- Experiencing building large-scale online systems and infrastructure to support ML workflows, like training & serving.
- Experience collaborating with ML engineers to understand their requirements and ship systems that accelerate their productivity.
While not required, it’s an added plus if you also have:
- Hands-on work across the entire ML development workflow, including training, deployment, and serving.
- Experience starting or joining an early-stage ML infra team or sub-team.
- Experience working on models supporting generative AI use cases and/or LLMs
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
