ML/AI Engineer - Infrastructure

Fast Facts

Figma is seeking an ML/AI Engineer to develop and enhance machine learning infrastructure and tools, improving their design and collaboration products.

Responsibilities: You will build infrastructure for model training, deployment, and serving, collaborate with ML engineers on internal tooling, and work with applied research and product engineers to enhance Figma's offerings.

Skills: Required skills include a strong background in backend or infrastructure engineering, expertise in machine learning or data infrastructure, and experience in deploying ML models successfully.

Qualifications: Preferred qualifications include a history of planning multi-year roadmaps and experience mentoring or influencing senior engineers.

Location: This role is located in the United States, specifically in San Francisco or New York, with option for remote work.

Compensation: Not provided by employer. Typical compensation ranges for this position are between $130,000 - $180,000.

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:

• 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.

We'd love to hear from you if you have:

• 5+ years of backend or infrastructure experience.
• 3+ 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.

While not required, It’s an added plus if you also have:

• 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.

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.

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