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Machine Learning Research Engineer in San Francisco - Imbue
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Machine Learning Research Engineer in San Francisco - Imbue
- San Francisco, California, United States
- San Francisco, California, United States
Über
Summary: In this role, you’ll work with Imbue's researchers to do cutting‑edge deep learning research—conducting experiments, creating infrastructure, and developing tooling & visualizations—with the goal of developing more human‑like machine intelligence.
Note: This research role requires being onsite in San Francisco.
Example projects:
Implement a self‑supervised network using contrastive and reconstruction losses.
Create a library on top of PyTorch to enable efficient network architecture search.
Implement networks from newly published papers.
Run massively parallel experiments to understand all variants of an architecture.
Develop more realistic simulations for training Imbue's agents.
Create visualizations to help deeply understand what Imbue's networks learn and why.
You are:
Passionate about understanding the fundamentals of intelligence.
Very comfortable writing Python.
Excited to be a world‑class ML engineer.
A fan of paired programming.
Passionate about engineering best practices.
Benefits:
Work directly on creating software with human‑like intelligence.
Generous compensation, equity, and benefits.
$20K+ yearly budget for self‑improvement: coaching, courses, conferences, etc.
Actively co‑create and participate in a positive, intentional team culture.
Spend time learning, reading papers, and deeply understanding prior work.
Frequent team events, dinners, off‑sites, and hanging out.
About the company: Imbue builds AI systems that reason and code, enabling AI agents to accomplish larger goals and safely work in the real world. Imbue trains its own foundation models optimized for reasoning and prototype agents on top of these models. By using these agents extensively, they can gain insights into improving both the capabilities of the underlying models and the interaction design for agents.
Imbue aims to rekindle the dream of the *personal* computer, where computers become truly intelligent tools that empower us, giving us freedom, dignity, and agency to pursue the things we love.
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Sprachkenntnisse
- English
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