✦ Luna Orbit — AI & Machine Learning

Software Engineer, Machine Learning

at Figma

📍 San Francisco, CA • New York, NY • United States Onsite Posted March 19, 2026
Type Full-Time
Experience mid
Exp. Years 5+ years
Education Not specified
Category AI & Machine Learning

Figma seeks a seasoned Machine Learning Engineer to develop AI-driven features, scalable data pipelines, and advanced AI infrastructure to enhance user productivity and product innovation.

  • Design and productionize ML models
  • Build scalable data pipelines
  • Collaborate with researchers and engineers
  • Optimize AI systems
  • Drive AI product innovation

Environment includes Python, PyTorch, TensorFlow, Scikit-learn, Spark MLlib, XGBoost, with a focus on AI models, data pipelines, and MLOps.

The ideal candidate is an experienced AI/ML engineer with over 5 years in software engineering, specializing in applied machine learning, data pipelines, and AI infrastructure, with strong collaboration skills.

5+ years of industry experience in software engineering3+ years focused on applied machine learning or AIProficiency in PythonExperience with ML libraries like PyTorchTensorFlowDesigning scalable data pipelinesExperience with AI infrastructure and MLOps
Search relevanceRankingNLPRAG systemsAI infrastructureCI/CD for ML workflowsCreative AI tools
PythonPyTorchTensorFlowScikit-learnSpark MLlibXGBoost
PythonPyTorchTensorFlowScikit-learnSpark MLlibXGBoostML modelsData pipelinesAI infrastructureMLOps
PythonPyTorchTensorFlowScikit-learnSpark MLlibXGBoostML modelsData pipelinesAI infrastructureMLOps
collaborationproblem-solvingcommunicationmentoringinnovation

Preferred

None specified
Industry SaaS
Job Function Developing and deploying AI and machine learning systems for product enhancement
Role Subtype Machine Learning Engineer
Tech Domains Python, PyTorch, TensorFlow, Scikit-learn, Spark MLlib
machine learning engineerAI engineerML modelsdata pipelinesAI infrastructureMLOpsPythonPyTorchTensorFlowscikit-learnspark mllibxgboostsearch relevancerankingnlprag systemsgenerative AIAI toolsscalable systemspythonpytorchtensorflow

Less than 5 years of experience, No experience with ML libraries like PyTorch or TensorFlow, Lack of experience in scalable data pipelines, Inability to work onsite in San Francisco

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