Senior Machine Learning Engineer
Core
Design and deploy advanced machine learning models for optimization, simulation, and real-world engineering systems to improve infrastructure and building design efficiency.
Role type
Senior Machine Learning Engineer (Applied AI)
Builds
Production ML models for engineering and infrastructure applications
Domain
Infrastructure, Civil Engineering, Energy Systems
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, scikit-learn, model design, optimization, model evaluation, end-to-end ML lifecycle ownership, technical leadership
Preferred skills
optimization, simulation, physics-informed ML, engineering-heavy domains (civil, HVAC, mechanical, energy), mentoring
Technologies
PyTorch, TensorFlow, scikit-learn
Responsibilities
Lead design and development of advanced ML models; Own end-to-end modelling lifecycle; Tackle complex, ambiguous problems; Design robust experimentation frameworks; Diagnose model failure modes; Collaborate with MLOps and software engineering teams; Partner with product managers and domain experts; Provide technical leadership and mentorship
Seniority
Senior, hands-on IC with leadership responsibilities