Software Engineer, Machine Learning
About the role
Figma is seeking a versatile and experienced Machine Learning / AI Engineer to join our growing AI team. This is a high-impact, cross-functional role where you'll shape both foundational systems and user-facing capabilities.
Responsibilities
Design, build, and productionize ML models for Search, Discovery, Ranking, Retrieval-Augmented Generation (RAG), and generative AI features.
Build and maintain scalable data pipelines to collect high-quality training and evaluation datasets, including annotation systems and human-in-the-loop workflows.
Collaborate with AI researchers to iterate on datasets, evaluation metrics, and model architectures to improve quality and relevance.
Work with product engineers to define and deliver impactful AI features across Figma’s platform.
Partner with infrastructure engineers to develop and optimize systems for training, inference, monitoring, and deployment.
Explore new ideas at the edge of what’s technically possible and help shape the long-term AI vision at Figma.
Requirements
5+ years of industry experience in software engineering, with 3+ years focused on applied machine learning or AI.
Strong experience with end-to-end ML model development, including training, evaluation, deployment, and monitoring.
Proficiency in Python and familiarity with ML libraries like PyTorch, TensorFlow, Scikit-learn, Spark MLlib, or XGBoost.
Experience designing and building scalable data and annotation pipelines, as well as evaluation systems for AI model quality.
Experience mentoring or leading others and contributing to a culture of technical excellence and innovation.
Qualifications
Familiarity with search relevance, ranking, NLP, or RAG systems.
Experience with AI infrastructure and MLOps, including observability, CI/CD, and automation for ML workflows.
Experience working on creative or design-focused ML applications.
Knowledge of additional languages such as C++ or Go is a plus, but not required.
A product mindset with the ability to tie technical work to user outcomes and business impact.
Strong collaboration and communication skills, especially when working across functions (engineering, product, research).
Skills
Strong programming skills in Python.
Experience with ML frameworks and libraries.
Experience with data pipeline design and management.
Experience with AI infrastructure and MLOps.
Experience with creative or design-focused ML applications.
Benefits
Competitive compensation and benefits package.
Health, dental & vision insurance.
Roth 401(k) with company match.
Parental leave & reproductive or family planning support.
Mental health & wellness benefits.
Generous paid time off.
Company recharge days.
Learning & development stipend.
Work from home stipend.
Cell phone reimbursement.
Pay
The annual base salary range for this role is $153,000—$376,000 USD. The listed range is a guideline, and the range for this role may be modified.
Schedule
This is a full-time role that can be held from one of our US hubs or remotely in the United States.