Machine Learning Research Intern - Summer/Fall 2025

Ensemble is offering a research internship for juniors, seniors, and grad students who want real-world experience contributing to open-source ML tooling and authorship-creditable research.

Ensemble is a seed-stage ML infrastructure startup focused on practical, open-source advancements in model size, multimodal capability, and inference efficiency.

Our flagship project, NdLinear, helps shrink and accelerate neural networks with minimal or no loss in accuracy via a direct replacement of the linear layer in neural nets.

Your role will include:

Assisting senior ML engineers with experiments and benchmarks
Running and documenting research case studies using NdLinear
Testing new features and contributing to product feedback cycles
Supporting paper writing and public releases where applicable

🚨For you application to be considered, you must complete all of the following:

⭐️ Star NdLinear on GitHub

📊 Create a small project using NdLinear on an open-source dataset

This can be a benchmark comparison (e.g., replacing a linear layer in a ResNet or ViT and reporting results), or a more creative use case you care about.
This is the most important part of the application, thus reasonable detail/rigor will be both noticed and appreciated.

📩 Send the following to internship@ensemblecore.ai:

Your GitHub handle / a link to your profile
Your resume
Your NdLinear project (as a Colab notebook, GitHub repo, or similar)

We’re looking for curiosity, clarity, and initiative—not specific credentials. If accepted, you'll gain authorship opportunities, experience in cutting-edge ML research, and a chance to work with a sharp, mission-driven team.

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