- Build infrastructure to train, deploy, and serve models at scale
- Partner directly with ML engineers to build internal tools for model development and experimentation
- Work in concert with applied research and product engineers to improve Figma's design and collaboration tool.
- Combine industry best practices and a first-principles approach to design and build ML infrastructure.
- 8+ years of backend or infrastructure experience.
- 8+ years of experience in one or more of the following areas: machine learning, machine learning infrastructure, data infrastructure.
- Proven experience deploying ML models and implementing the full lifecycle of model development.
- Experience communicating and working across functions to drive solutions.
- Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long-term vision.
- Experience in mentoring/influencing senior engineers across organizations.
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ML/AI Engineer, Infrastructure - San Francisco, CA, United States - Figma
Description
We're looking for engineers with a Machine Learning and Artificial Intelligence background to improve our products and build new capabilities. You will be building 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.
What you'll do at Figma:
We'd love to hear from you if you have:
While not required, It's an added plus if you also have:
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.