Machine Learning Engineer Intern

Overview

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
• 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

You May Be a Good Fit If You
• 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

Logistics
• Part Time: Remote 20hrs+/week
• Full Time: Cupertino, California

How To Apply

Send your resume to

Company:

Nexa AI

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)

Tagged as: Industry, Machine Learning, NLP, United States