ML Engineer - AI Platform

As an ML Engineer at Figma, you'll focus on building robust data pipelines for collecting training data and constructing evaluation systems for AI models. You will collaborate closely with AI researchers and product engineers to enhance our AI features and implement new capabilities.

To thrive as an ML Engineer at Figma, you should have expertise in building AI/ML infrastructure, strong software development skills in Python, and a background in collaborating on applied AI projects. Experience with C/C++ is a bonus, but not essential.

At Figma, we believe in 'Grow as you go', encouraging employees to learn and develop their skills continually. Whether it’s through mentorship, ongoing training, or providing resources for personal development, we’re here to support your growth journey.

Figma is committed to creating a diverse and inclusive workplace. We understand that a team rich in diverse thoughts and experiences leads to greater innovation and community growth. We actively seek qualified candidates from all backgrounds.

The annual base salary for an ML Engineer at Figma, specifically in our San Francisco or New York offices, ranges from $149,000 to $350,000. Actual compensation depends on various factors, including skills, experience, and market demands.

Figma offers a competitive package of benefits, including health, dental and vision insurance, retirement plans with company contributions, generous PTO, and even stipends for work-from-home and learning opportunities.

Absolutely! Figma encourages smart, curious individuals to apply even if their experience doesn’t align perfectly with the job description. We believe in the potential of candidates who show promise and enthusiasm.

When answering this, share specific examples of projects where you successfully built data pipelines, including the technologies you used and the outcomes achieved. Focus on your understanding of the importance of high-quality data for AI model development.

Select a significant AI problem you tackled, describe the context, the solutions you considered, and ultimately how you resolved it. Highlight your problem-solving skills and ability to analyze trade-offs between different approaches.

Illustrate your approach to teamwork by describing your experience working with cross-functional teams. Include how you effectively communicated technical requirements and incorporated feedback to refine AI projects.

Focus on your proficiency in Python, as well as any other languages like C/C++. Mention specific libraries or frameworks you have used in past projects, emphasizing how these skills are relevant to the ML Engineer role at Figma.

Provide an overview of how you’ve approached the evaluation of AI models, including the metrics you’ve utilized and how you ensured the models met performance benchmarks. Discuss any specific improvements you were able to implement.

Discuss the factors you take into account, such as data quality, relevance, diversity, and representation. Provide examples from your experience where modifications to datasets led to significant improvements in model performance.

Share your strategies, such as attending conferences, participating in online communities, or following leading researchers. Show your passion for continuous learning and how you apply new insights to improve your work.

Be honest about a specific project setback, explaining what you learned and how you adapted your approach. This question assesses resilience and your willingness to learn from mistakes.

Explain your methods for organizing and prioritizing tasks, such as assessing project timelines and importance. Highlight any tools you use for project management and how they help you stay focused.

Convey your knowledge of Figma's mission and products, and align your personal values with the company's emphasis on creativity, collaboration, and making design accessible. Show genuine enthusiasm for the opportunity.