Machine Learning Engineering Manager, Chemistry & Process Engineering
Core
Lead a team of ML engineers building surrogate and hybrid models for chemistry and process engineering to inform and control industrial plant operations.
Role type
Senior IC Machine Learning Engineering Manager (Chemistry & Process Engineering)
Builds
Production ML models for unit operations, optimization, and control layers in chemical processing plants
Domain
Chemical engineering, process engineering, heavy industry (minerals, energy)
Deliverable
production ML models
Required skills
Machine learning, scientific computing, chemical engineering, chemistry, materials science, Python, modern ML frameworks, experiment tracking, model validation, uncertainty quantification, physics-literate skepticism, team management, hiring, technical direction, cross-functional communication
Preferred skills
PhD in chemical engineering/chemistry/materials science, model predictive control, real-time optimization, mining/hydrometallurgy/energy/chemicals background, building teams from scratch
Technologies
Python, modern ML frameworks, experiment tracking tools
Responsibilities
Manage and grow a team of ML engineers, own technical direction and model validation standards, partner with TPM on roadmap, collaborate with process engineers and operators, ensure model rigor in physics-heavy domains, own production lifecycle (deployment, monitoring, retraining), establish engineering practices, plan headcount and hiring pipeline
Seniority
Senior, hands-on IC with management responsibilities