Principal Ai Engineer, Demand Forecasting

Analog Devices Foundation

CA, United States
$230,000 to $316,250; discretionary performance-ba...
Time series foundation models
Deep learning models
Python programming
Lead the research and development of advanced demand forecasting models to drive business decision-making and operational efficiency

Job Summary

  • Lead the research and development of advanced demand forecasting models to drive business decision-making and operational efficiency.
  • Explore and implement cutting-edge time series forecasting techniques, including advanced deep learning models and time series foundation models.
  • This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.

Matching Summary

Lead the research and development of advanced demand forecasting models to drive business decision-making and operational efficiency.

Salary

$230,000 to $316,250; Discretionary performance-based bonus; Medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time

Skills & Requirements

Must-have

  • time series foundation models
  • deep learning models
  • Python programming
  • PyTorch, TensorFlow, SKLearn
  • intermittent time series forecasting
  • time series evaluation metrics

Nice-to-have

  • hierarchical forecasting approaches
  • forecast reconciliation techniques
  • analytical mindset
  • business acumen

Key Requirements

  • MS or Ph.D. in Statistics, Mathematics, Econometrics, Operations Research, Computer Science, Electrical Engineering, or a related field
  • 10+ years of combined research and industrial experience
  • Demonstrated ability to lead projects and teams
  • Export licensing review process may apply

Work Rights

Not specified

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