Senior Applied Researcher
Core
End-to-end ownership of complex machine learning problems in the Physical AI space, applying ML to solve intractable physics and engineering challenges for industrial products like automotive systems, aircraft, and advanced batteries.
Role type
Senior Applied Researcher (Physical AI)
Builds
Production-ready ML solutions for complex industrial products
Domain
Industrial AI / Physical Systems / Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, scientific computing (NumPy, pandas, SciPy), ML libraries (PyTorch, TensorFlow), statistical modelling, time-series analysis, high-dimensional data handling, production deployment, stakeholder alignment
Preferred skills
Engineering/physics/chemistry background, anomaly detection, optimisation, reliability-focused modelling, agent/autonomous systems, MLOps, sparse/noisy real-world data
Technologies
Python, NumPy, pandas, SciPy, scikit-learn, PyTorch, TensorFlow
Responsibilities
Frame complex ML problems, conduct experimentation, deploy and support ML systems in production, communicate technical decisions to cross-functional teams
Seniority
Senior, hands-on IC
