Figma is hiring a
Software Engineer

Summary

Join Figma's team as an accomplished and experienced AI Product Engineer to lead our AI efforts from inception to implementation. You'll collaborate closely with a cutting-edge AI Research team, develop early-phase AI systems, and contribute to the growth of the team.

Requirements

• 5+ years of experience, with 1 or more years of developing generative AI products
• Comfort in prototyping and pathfinding new opportunities that led to successful 0→1 projects
• Proven experience implementing the full lifecycle of an early-phase AI development, from ideating on which models to use through productionizing and maintaining them
• Experience in developing deep product and business knowledge to connect abstract modeling and analysis tasks with business value
• A growth mindset and experience investing in the learning, development, belonging, and impact of your peers, ex. mentoring/aligning senior engineers across organizations

Responsibilities

• Lead the development of early-phase AI systems to enhance user experience and develop systems to measure and improve AI performance and relevance
• Direct the future of AI at Figma in collaboration with cross-functional teams of innovative software engineers, product managers, and data scientists
• Break down open-ended AI problems into engineering strategies utilizing machine learning, data analysis, and experimental design
• Provide mentorship and promote best practices in data and AI while cultivating a collaborative and inclusive team culture
• Contribute to the growth of the team by improving the hiring process and recruiting outstanding AI talent

Preferred Qualifications

• Demonstrated expertise in AI indexing, retrieval systems, personalization, and/or natural language processing
• Proven track record of planning a multi-year roadmap in which shorter-term projects ladder up to the long-term vision
• A relevant advanced degree (Masters or PhD) in Machine Learning, Artificial Intelligence, Statistics, or a related field

Benefits

• Health insurance
• Retirement benefits
• Paid time off
• Remote work, flexible hours
• Life and disability insurance
• Bonuses and incentives
• Professional development opportunities
• Wellness programs
• Family and parental leave