✦ Luna Orbit — AI & Machine Learning

Lead AI Software Engineer

at Klaviyo

📍 Boston, MA Onsite Posted March 18, 2026
Type Full-Time
Experience lead
Exp. Years 7+ years
Education Not specified
Category AI & Machine Learning

Klaviyo is seeking a Lead AI Software Engineer to develop and scale production ML systems, focusing on supervised learning models and ensemble methods. The role involves mentoring, collaboration, and deploying reliable predictive models at scale.

  • Design and scale ML pipelines
  • Develop and deploy predictive models
  • Mentor engineering team
  • Monitor ML system performance
  • Collaborate with product teams

The role covers building scalable ML pipelines, deploying supervised learning models like random forests and XGBoost, and monitoring system performance. Technologies include ML frameworks, deployment tools, and data pipelines.

The ideal candidate is a senior AI/ML engineer with 7+ years experience in building and scaling production ML systems, mentoring teams, and developing predictive models using supervised learning techniques. They excel in collaboration and problem-solving within SaaS environments.

building production-grade ML systemsscaling ML pipelinesdeveloping predictive modelsexperience with supervised learningmentoring engineers
experience with ensemble methodsmodel optimizationautomated model deploymentML tooling
XGBoostscikit-learnML pipelinesmodel deployment tools
Machine LearningSupervised LearningRandom ForestsXGBoostLogistic RegressionData PipelinesModel DeploymentModel MonitoringEnsemble Techniques
Machine LearningMLSupervised LearningRandom ForestsXGBoostLogistic RegressionEnsemble TechniquesData PipelinesModel DeploymentModel Monitoring
leadershipmentoringcollaborationproblem-solvingcommunication
Industry SaaS
Job Function Building and scaling production ML systems and predictive models
Role Subtype AI & Machine Learning
Tech Domains Active Directory, Microsoft 365, Azure, Amazon Web Services, Kubernetes
Lead AI Software EngineerAIMachine LearningSupervised LearningRandom ForestsXGBoostLogistic RegressionEnsemble TechniquesML PipelinesModel DeploymentModel MonitoringAI & Analyticsscaling ML pipelinespredictive modelsproduction ML systemsmentoring engineersAI engineermachine learningsupervised learningrandom forestsxgboostmodel deploymentml pipelinesscaling mlmentoring

Lack of experience with production ML systems, No experience mentoring teams, Unwillingness to work onsite in Boston

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