Research Engineer - Machine Learning (ML)

About Us

Eon collects large-scale neuroscientific data sets to train machine learning based brain emulations. We believe it is possible to scale this technology in a safe, secure and trustworthy manner in the next decade and empower humanity in unprecedented ways.

Role

Collaborating with a diverse team, including product managers, researchers, and engineering departments, your role involves conducting research on the application of cutting‑edge ML technologies to large-scale neuro datasets and transforming these insights into scalable, production‑ready solutions.

Responsibilities

• Design, train, and fine‑tune transformer‑based ML models and systems, ensuring their applicability and effectiveness in neuroscience.
• Develop and maintain production‑grade ML systems, ensuring their scalability, efficiency, and reliability.
• Implement benchmarks that evaluate quality, safety, security, and trustworthiness in ML models and systems developed.
• Work in tandem with cross‑functional teams, including product development and data infrastructure
• Engage in collaborative research efforts to explore new ML architectures, including image and video transformer models and multimodal systems.
• Contribute to the creation of state‑of‑the‑art (SOTA) foundation models for both invasive and non‑invasive neuroscientific datasets.

Skills

We expect everybody, independent of their role to be

Representative projects

These are examples of projects that you would be working on when joining us :

Salary

Competitive salaries, including equity, apply.

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