Key skills
AIArtificial IntelligenceMachine LearningNatural Language ProcessingGenerative AIClaudeGitHubMentoringFigmaPrototypingCollaboration
About this role
Figma is a company dedicated to making design accessible to all, and they are seeking an accomplished AI Product Engineer to lead their AI efforts. The role involves collaborating with cross-functional teams to develop and enhance AI systems, while also mentoring team members and improving hiring processes.
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
Requirements:
- 5+ years of experience of Software Engineering, 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
- Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude) to write, debug, and optimize code
- 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
- A growth mindset and experience investing in the learning, development, belonging, and impact of your peers, ex. mentoring/aligning senior engineers across organizations