Production-Ready Time Series Scientist for Energy AI

Applied Computing; Georgia; Presencial; USD 120.000 - 170.000; Jornada completa

Descripción de la vacante

Applied Computing is seeking a Time Series Researcher to own Orbital’s temporal intelligence, designing, validating, and deploying time-series models under real-world constraints. You will work with customer engineering teams to fine-tune the model for client plants and own the full lifecycle from theory to production.

Ideal candidates have a PhD and 3+ years of hands-on time-series research, with strong Deep Learning and PyTorch production experience.

Formación

• PhD required in a relevant field.
• First-author publications in time-series, forecasting, or physics-informed ML.
• 3+ years hands-on research in time-series or sequence modelling.
• Experience with Deep Learning & probabilistic modelling.
• Expert Python skills with production-grade PyTorch code.
• Experience deploying ML models into real systems.

Responsabilidades

• Design and implement foundational time-series models for Orbital.
• Collaborate with customer engineering teams to tailor models to client plants.
• Lead end-to-end lifecycle from formulation to real-time inference and retraining.

Conocimientos

Time-series modelling publications

Deep learning & probabilistic modeling

Python & PyTorch production code

Production ML deployment

Research in time-series

Uncertainty quantification

Educación

PhD in CS, Statistics, Applied Mathematics, Physics, or related field

Descripción del empleo

Applied Computing is seeking a Time Series Researcher to own Orbital’s temporal intelligence, designing, validating, and deploying time-series models under real-world constraints. You will work with customer engineering teams to fine-tune the model for client plants and own the full lifecycle from theory to production.

Ideal candidates have a PhD and 3+ years of hands-on time-series research, with strong Deep Learning and PyTorch production experience.