Thermo ML Resident
Boston
ML Team /
On-site
Overview
Extropic is looking for junior ML scientists to join our residency program on either a part-time or full-time basis. Our hardware massively accelerates certain kinds of probabilistic inference, and residents will help pioneer the science of training models in the thermodynamic paradigm.
Responsibilities
- Collaborate with senior researchers to derive the theory of new probabilistic models and their learning rules, including energy-based models and diffusion models
- Scale up experimentation infrastructure and optimize over the design space of models
- Implement, visualize, and evaluate new architectures, training algorithms, and benchmarks
- Publish papers, contribute to open source, and communicate design insights to our hardware team
Required Qualifications
- Experience in scientific Python
- Experience with JAX or similar deep learning framework (PyTorch, TensorFlow, or Keras)
- Strong foundations in probability and linear algebra
- Projects or papers demonstrating hands-on experience in applied machine learning and data science
- Familiarity with deep learning theory and literature, including theory of over-parameterization and scaling laws
Preferred Qualifications
- Experience training energy-based models (EBMs) or diffusion models
- Experience with graph neural networks (GNNs) or graph message passing algorithms
- Experience with infrastructure for deep learning experimentation and training (Slurm, Ray, Kubernetes, Weights & Biases, etc.)
- Strong theoretical background in information geometry
- Strong grasp of computational Bayesian methods, including MCMC sampling methods and variational inference
- Publications in top ML conferences (NeurIPS, ICML, ICLR, CVPR, etc.)
$75,000 - $150,000 a year
Salary and equity compensation will vary with experience
Extropic is an equal opportunity employer
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
