Remote within United States
Posted 11 months ago
Systems Engineer role at AI Research Lab, Imbue
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:
You are:
Benefits:
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
An academic degree in the relevant field is good to have
5+
years of commercial experiencePython
intermediate
Systems Engineer
advanced
English
intermediate
Imbue is a San Francisco-based AI research lab that trains foundational models to develop AI agents. Imbue was founded by Kanjun Qiu and Josh Albrecht in 2021. They recently raised $200m in September 2023 at a $1 billion valuation, making them one of the very few female-led AI unicorns. Imbue’s focus is an AI “agent”: a type of computing system that can simulate human decision-making to complete complex tasks, ensuring they are robust, secure and safe. Whilst chatbots like ChatGPT receive a user’s query and generate a near-instant response, Imbue’s agents would act more like a virtual research assistant that can crunch analysis, recommend follow-on experiments and even set them up, all unsupervised.
Compensation
Competitive
Role type
Full time
Visa sponsorship
Not provided
Benefits & perks
Flexible Working
Conferences
Equity
Supportive culture
Team events
Learning budget
$81K - 125K
Full time
Remote
2022-08-20T14:00:12.865Z
$81K - 125K
Full time
Remote
2022-08-20T14:00:12.865Z
$81K - 125K
Full time
Remote
2022-08-20T14:00:12.865Z
Ground Floor, Verse Building, 18 Brunswick Place, London, N1 6DZ
108 E 16th Street, New York, NY 10003
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