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Experience Level
Experience
Qualifications
QualificationsMinimum of 3 years of experience in C++ and Python; familiarity with TypeScript is advantageous. At least 2 years of experience working with machine learning frameworks and model inference. Demonstrated problem-solving abilities and strong communication skills. In-depth knowledge of operating systems. Comprehensive understanding of software system design principles. Experience with local LLMs and hands-on tinkering within LM Studio. A genuine passion for creating impactful AI experiences.
About the job
Your Opportunity
Join our innovative team at LM Studio as a Software Engineer specializing in AI/ML Systems. We seek a dynamic individual who thrives at the crossroads of machine learning and systems engineering, enjoys tackling complex challenges, and is dedicated to crafting exceptional products.
In this role, you will be responsible for developing and enhancing on-device inference engines and integrations for local large language models (LLMs) and advanced AI technologies within LM Studio. You will design and maintain the runtime that facilitates on-device model inference, provide immediate support for new models on launch day, and optimize performance across diverse hardware setups.
Collaboration is key here. You will engage closely with model authors and upstream open-source communities (such as llama.cpp, MLX, and others) to ensure that LM Studio users access cutting-edge AI experiences.
If you're passionate about bridging the gap between models and systems and care about delivering outstanding local AI-powered experiences for both users and developers, this position could be your next great adventure!
About LM Studio
At LM Studio, we are pioneering the development of innovative AI solutions that empower users and developers alike. Our team is composed of talented individuals dedicated to pushing the boundaries of what's possible in machine learning and systems engineering. Join us as we create the next generation of AI-driven products.
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