✦ Luna Orbit — AI & Machine Learning

Principal AI Engineer, Demand Forecasting

at Analog Devices

📍 US, CA, San Jose, Rio Robles Unknown 💰 $230K – $316K USD / year Posted March 13, 2026
Salary $230K – $316K USD / year
Type Not Specified
Experience lead
Exp. Years 10+ years
Education Not specified
Category AI & Machine Learning

This role focuses on developing advanced demand forecasting models using cutting-edge AI techniques, including foundation models and deep learning, to support strategic business decision-making.

  • Lead demand forecasting research
  • Develop foundation models
  • Implement hierarchical forecasting
  • Optimize models for accuracy
  • Collaborate with business teams

The technical scope includes time series analysis, deep learning frameworks (PyTorch, TensorFlow), foundation models, and hierarchical forecasting methods, deployed in a high-stakes business environment.

The ideal candidate is an experienced AI/ML engineer with over 10 years in demand forecasting and time series analysis, proficient in deep learning frameworks and statistical models. They are innovative, collaborative, and capable of developing advanced forecasting solutions using foundation models.

10+ years experience in demand forecasting or related AI/ML fieldsExperience with time series models and foundation modelsProficiency in Python and deep learning frameworks (PyTorchTensorFlow)Experience with statistical and machine learning models (ARIMAProphetXGBoost)Knowledge of hierarchical and sparse data forecastingEvaluation metrics and statistical testing
Knowledge of intermittent time series methodsExperience with large-scale forecasting systemsFamiliarity with agentic systemsExperience in deploying models into production
PythonPyTorchTensorFlowSKLearnSKTimeStatsmodelsARIMAProphetXGBoostDeepARMQRNNN-BEATSChronosTimesFMTimeGPT
Demand ForecastingTime Series ModelingDeep LearningFoundation ModelsARIMAETSProphetXGBoostHierarchical ForecastingTime Series Foundation ModelsDeepARMQRNNN-BEATSPythonPyTorchTensorFlowSKLearnSKTimeStatsmodels
Demand ForecastingTime Series ModelingDeep LearningFoundation ModelsARIMAETSProphetXGBoostStatistical ModelsHierarchical ForecastingTime Series Foundation ModelsDeepARMQRNNN-BEATSChronosTimesFMTimeGPTPythonPyTorchTensorFlowSKLearnSKTimeStatsmodels
researchproblem-solvingcollaborationinnovationcommunication
Industry Semiconductors
Job Function Develop and deploy advanced demand forecasting models using AI and time series techniques
Demand ForecastingTime Series ModelingDeep LearningFoundation ModelsARIMAETSProphetXGBoostHierarchical ForecastingTime Series Foundation ModelsDeepARMQRNNN-BEATSPythonPyTorchTensorFlowSKLearnSKTimeStatsmodels

Less than 10 years of experience in AI/ML or demand forecasting, Lack of experience with time series models or foundation models, No proficiency in Python or deep learning frameworks, Inability to work on high-stakes forecasting projects

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