AI Applied Scientist

As the AI Applied Scientist at Figma, you will drive both fundamental and applied research in the fields of machine learning and artificial intelligence. Your main responsibilities will include designing and building advanced ML models that enhance Figma’s collaborative tools, collaborating with product and infrastructure engineers, and exploring cutting-edge technologies to push the boundaries of design capabilities.

To qualify for the AI Applied Scientist role at Figma, you should have at least 5 years of experience in programming languages such as Python, C++, Java, or R, alongside 3 years of experience in machine learning, natural language processing, or computer vision. A track record of building and fine-tuning ML models in production environments, as well as strong communication skills to work cross-functionally, is also essential.

At Figma, you can expect a collaborative and innovative work environment where your ideas will be valued. The company emphasizes a growth mindset, fostering an atmosphere that encourages learning and development, making it a perfect place for an AI Applied Scientist to contribute and thrive.

While not required, additional skills that could enhance your application for the AI Applied Scientist position at Figma include experience with multi-year project planning, mentoring senior engineers, and a solid understanding of advanced machine learning techniques. Candidates with such experiences are highly valued.

For the AI Applied Scientist position at Figma, the annual base salary ranges from $149,000 to $350,000 depending on qualifications and location. In addition to competitive pay, Figma offers a comprehensive benefits package that includes health benefits, retirement contributions, generous PTO, and more, ensuring a rewarding employment experience.

In answering this question, highlight your specific projects where you utilized machine learning techniques, the workflows you established, and any contributions you made to existing models. Discuss how these experiences equip you to contribute effectively at Figma.

Detail specific models you’ve worked on, the challenges faced during production, and how you overcame them. Emphasize any measurable successes, such as improved accuracy or efficiency, to showcase your practical experience.

Discuss the methods you use to keep up with industry trends, such as following relevant publications, attending conferences, or participating in online communities. This demonstrates your commitment to continuous learning in a rapidly evolving field.

Provide an example that illustrates your ability to work with diverse teams, focusing on the importance of communication and understanding different perspectives. Highlight the positive outcomes that resulted from that collaboration.

Talk about your problem-solving process, starting from identifying the issue, brainstorming potential solutions, testing hypotheses, and iterating based on results. Emphasize your analytical mindset and creativity.

Explain your strategies for clarifying project goals, such as asking questions, gathering requirements, and involving stakeholders in defining success. Your ability to navigate ambiguity is key in this field.

Share examples of how you've successfully mentored colleagues or junior engineers, focusing on the methods you used to guide their learning and development, and the impact it had on the team.

This is a chance to showcase your communication skills. Choose a concept like neural networks or supervised learning and break it down using relatable analogies. This shows your ability to convey complex ideas clearly.

Outline your aspirations in the AI field, and explain how you see yourself growing at Figma. Highlight elements of the company, such as its innovative spirit or focus on collaboration, that align with your personal career path.

Discuss your understanding of AI ethics, bias mitigation, and the importance of using diverse datasets. Explain specific practices you would advocate for at Figma to ensure responsible AI development.