ML Researcher, Representation Learning
Core
Invent representations for molecules, materials, and physical processes to enable AI systems to generalize and reason under uncertainty in materials discovery. (via careerplan.io/jobs/2521638-ml-researcher-representation-learning-at-dunia-innovations-gmbh)
Role type
Senior IC machine-learning researcher (representation learning)
Builds
Multi-modal foundation models combining graphs, sequences, text, images, simulations, and experimental data
Domain
Materials science + machine learning
Deliverable
production ML models
Required skills
representation learning, modern deep learning architectures, probabilistic reasoning, uncertainty quantification, software engineering, structured data modeling
Preferred skills
physics/chemistry domain knowledge, multi-modal data fusion
Technologies
graphs, sequences, text, images, simulations
Responsibilities
Design representations for molecules and materials that respect physical structure; Build abstractions that transfer across tasks and domains; Combine multiple data modalities into foundation models; Test ideas in production-grade systems used by scientists
Seniority
Senior, hands-on IC
