What are the responsibilities and job description for the Machine Learning Engineer Intern position at Nexa AI?
Introduction
Nexa AI is an on-device AI research and deployment company. We specialize in tiny, multimodal models (e.g. Octopus v2, OmniVLM, OmniAudio), local on-device inference framework (e.g. nexa-sdk), and model optimization techniques (e.g. NexaQuant). Our work has been recognized by industry leaders like Google, Hugging Face, AMD, and more. And we partner with enterprises and SMBs to bring local intelligence to every device.
Responsibilities
Send your resume to career@nexa4ai.com
Nexa AI is an on-device AI research and deployment company. We specialize in tiny, multimodal models (e.g. Octopus v2, OmniVLM, OmniAudio), local on-device inference framework (e.g. nexa-sdk), and model optimization techniques (e.g. NexaQuant). Our work has been recognized by industry leaders like Google, Hugging Face, AMD, and more. And we partner with enterprises and SMBs to bring local intelligence to every device.
Responsibilities
- Builds on device ML infrastructure at scale
- Assist in developing and optimizing LLMs for on-device deployment
- Support on-device AI research efforts
- Contribute to the development of our SDKs across multiple platforms, including Windows, MacOS, Android, iOS, and Linux
- Minimum BS/MS in Computer Science
- Familiar with PyTorch
- Excellent understanding of computer science fundamentals, including data structures, algorithms, and coding
- Knowledge of operating system internals, compilers, and low-power/mobile optimization
- Experience with low-level programming in C and frameworks like CUDA, OpenCL
- Proficiency in multithreading and performance optimization
- Part Time: Remote 20hrs /week
- Full Time: Cupertino, California
Send your resume to career@nexa4ai.com
Salary : $1,000 - $20,000
