Time Series Researcher - Forward deployed

About the role

The Time Series Researcher owns the core of Orbital’s temporal intelligence. This role exists to design, validate, and deploy foundational time-series models that operate under real world constraints: noisy sensors, partial observability, physical laws, and high economic stakes. This is a customer facing role part of forward deployed team working with customer engineering teams, fine tuning our model to their plants.

What you'll do

• Orbital’s foundational time-series modelling stack
• Physics-informed and probabilistic model design
• Uncertainty quantification and robustness under sensor faults
• Research → production translation for time-series models
• Benchmarking standards and validation protocols used across the company

What you need

• 3–6 yrs of experience
• Machine learning
• Deep learning
• Python
• Statistics
• AWS
• PyTorch
• PhD

Good to have

• Physics
• CI/CD
• Docker
• Azure