- Abstracting cloud and physical GPU resources.
- Implementing a caching system for models and datasets.
- Profiling and optimizing third-party C++ code.
- Using eBPF for continuous system profiling.
- Turning man pages into bug fixes.
- Creating observability tools for distributed systems.
- Writing shaders, learning about video encoding on the GPU, etc.
You are: - Very comfortable writing Python and reading Bash.
- Obsessive about deeply understanding how systems work.
- Happy to debug any weird problem all the way down.
- Familiar with Docker, cloud services, physical servers, and systems internals.
- Excited to work on open-source code.
- Passionate about engineering best practices.
- Self-directed and independent.
- Excellent at getting things done.
Benefits: - Work directly on creating software with human-like intelligence.
- Very generous compensation
- Spend time learning and pairing with world-class engineers working across diverse problems who are excited to share their knowledge to get you up to speed.
- Flexible working hours
- Work remotely (or on-site in SF)
- Time and budget for learning and self-improvement
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.
WorksHub are not directly affiliated/are not a direct part of Imbue
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Remote Systems Engineer - San Francisco, United States - Imbue
Description
Summary:
As a systems engineer, you'll work on pioneering machine learning infrastructure that enables running large numbers of experiments in parallel across local and cloud GPUs, extremely fast training, and guarantees that Imbue can trust experiment results. This allows them to do actual science to understand, from first principles, how to build human-like artificial general intelligence.
You'll also play a role in open-sourcing infrastructure for the machine learning community.
No machine-learning experience is required.
Example projects: