Key skills
Machine LearningPythonML model developmentData pipelinesC++CGoAIMLNLPGenerative AIRAGPyTorchTensorFlowscikit-learnMLOpsXGBoostSparkCI/CDMentoringFigmaCommunicationCollaboration
About this role
Figma is a company focused on making design accessible to all, and they are seeking a versatile Machine Learning Engineer to join their AI team. The role involves designing and building ML models, collaborating with various teams to deliver impactful AI features, and exploring innovative ideas to shape Figma's AI vision.
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
- 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)