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Thermo ML Resident

extropicBostonApplications & Algorithms
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Salary
$75K – $200K
Job type
Full-time
Experience
Entry
Posted
8 Sept 2026
Status
Open · checked 7d ago

About this role

This residency suits junior machine learning scientists seeking high autonomy and flexible part-time or full-time schedules in Boston. The Thermo ML Resident position at Extropic involves pioneering thermodynamic paradigm model training and probabilistic inference hardware acceleration.

Role Overview

Extropic seeks junior machine learning scientists for a residency program located in Boston. The program offers flexible part-time or full-time options lasting a minimum of three months, providing participants with significant autonomy.

Key Responsibilities

Partner with senior researchers to formulate theories regarding new probabilistic models and learning rules like diffusion and energy-based models.
Expand experimentation infrastructure while optimizing the model design space.
Build, assess, and visualize novel architectures, training algorithms, and benchmarks.
Share design insights with the hardware team, contribute to open source projects, and publish academic papers.

Requirements

Proficiency in scientific Python using deep learning frameworks such as JAX, PyTorch, TensorFlow, or Keras.
Solid foundational knowledge in linear algebra and probability.
Practical experience demonstrated through machine learning or data science projects and papers.

Nice to Have

Understanding of deep learning literature and theory, encompassing scaling laws and over-parameterization.
Background in training diffusion models or energy-based models.
Familiarity with graph neural networks or message passing algorithms.
Experience utilizing deep learning experimentation infrastructure like Ray, Slurm, Kubernetes, or Weights & Biases.
Academic background in information geometry.
Knowledge of computational Bayesian methods including variational inference and MCMC sampling.
Prior publications in machine learning conferences such as NeurIPS, ICML, ICLR, or CVPR.

Salary and Benefits

Compensation ranges from $75,000 to $200,000.

About the Company

Extropic is an equal opportunity employer focused on hardware that accelerates probabilistic inference. Employment offers are contingent upon obtaining authorization to receive items controlled under U.S. export control laws and regulations.

How to Apply

Interested candidates should apply directly on the official company careers page.

Skills and tech stack

PythonJAXPyTorchTensorFlowKerasSlurmRayKubernetesWeights & BiasesDeep LearningMachine LearningDiffusion

Questions candidates ask

What is the location and duration of the Thermo ML Resident position?

The role is based in Boston and requires a minimum commitment of 3 months on a part-time or full-time basis.

What is the salary range for this residency?

The compensation ranges from $75K to $200K.

What programming languages and frameworks are required?

Candidates must have experience in scientific Python along with deep learning frameworks such as JAX, PyTorch, TensorFlow, or Keras.

Are there any specific legal requirements for employment?

Yes, employment offers are conditioned on authorization to receive controlled items under U.S. export control laws and regulations.

What kind of projects will the resident work on?

Residents work on training models in the thermodynamic paradigm, developing theory for probabilistic models, scaling infrastructure, and evaluating new architectures.

Ready to apply?

The application is on the official extropic careers page.

Apply on company site