Summary
Join Figma's growing team and lead AI efforts, from inception to implementation. Collaborate with a cutting-edge AI Research team to enhance user experience and develop systems to measure and improve AI performance. Break down complex AI problems into engineering strategies, utilizing machine learning and data analysis. Mentor team members and contribute to team growth by improving the hiring process. This full-time role can be performed from a US hub or remotely within the United States. Figma offers a competitive compensation package and benefits.
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 0β1 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
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
- A growth mindset and experience investing in the learning, development, belonging, and impact of your peers, ex. mentoring/aligning senior engineers across organizations
Benefits
- Health, dental & vision
- Retirement with company contribution
- Parental leave & reproductive or family planning support
- Mental health & wellness benefits
- Generous PTO
- Company recharge days
- A learning & development stipend
- A work from home stipend
- Cell phone reimbursement
- Sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles
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