Machine Learning for Digital Twins Co-Op (AI)

TL;DR

Machine Learning for Digital Twins Co-Op (AI): Building, training, and evaluating ML models for physical and experimental systems with an accent on operator learning, surrogate modeling, and uncertainty quantification. Focus on framing open-ended scientific questions as concrete ML tasks and validating models against active experimental campaigns.

Location: Cambridge, MA USA

Company

hirify.global is building Scientific Superintelligence to solve humankind's greatest challenges through AI and proprietary AI Science Factory instruments.

What you will do

• Contribute to ML models for scientific and experimental systems focused on digital twin sub-problems.
• Build and train surrogate, operator-learning, or physics-informed models using experimental and simulation data.
• Calibrate models, quantify uncertainty, and validate them against active experimental campaigns.
• Frame open-ended scientific questions as concrete ML tasks with clear datasets, baselines, and evaluation criteria.
• Document findings and share results through write-ups and cross-departmental presentations.

Requirements

• Pursuing a Master's or PhD in Machine Learning, Computer Science, Applied Mathematics, Physics, or a related quantitative field (PhD preferred).
• Strong programming skills in Python and hands-on experience with PyTorch, JAX, or TensorFlow.
• Experience applying machine learning to scientific, engineering, physical, or experimental systems.
• Familiarity with neural operators, spatiotemporal modeling, or physics-informed ML.
• Ability to work with messy, heterogeneous, or evolving scientific datasets.
• Location: Must be based in or able to work in Cambridge, MA, USA

Nice to have

• Experience with Fourier Neural Operators, DeepONets, graph neural operators, or transformer-based operators.
• Knowledge of online/offline model updating, simulator calibration, or out-of-distribution detection.
• Experience with Bayesian optimization, active learning, or applications in materials science, chemistry, and robotics.

Culture & Benefits

• High-velocity startup environment tackling problems of historic importance.
• Opportunity to work with cutting-edge proprietary AI Science Factory instruments.
• Core values based on truth, trust, curiosity, grit, and velocity.
• Equal employment opportunity for all candidates.