On-device AI Frameworks Engineer Intern
Argmax
On-device AI Frameworks Engineer Intern
Argmax
Open-source on-device AI inference platform
We are looking for an intern to join our On-device AI Frameworks team at Argmax! In this role, you will design, implement and optimize software frameworks that expose developer-friendly APIs to run state-of-the-art inference workloads natively on Apple and Android devices. You will collaborate closely with industry leader engineer and researcher colleagues, advancing the frontiers of on-device inference technology and accelerating its market adoption.
AI Frameworks are at the core of Argmax SDK, our flagship developer toolkit trusted by Enterprises and developers in high-stakes industries such as healthcare. Argmax is a customer-obsessed team and we work very closely with them, sometimes in forward-deployed capacity.
Responsibilities
Qualifications
Preferred Qualifications
Perks
About Argmax
AI applications are scaling in user adoption at unprecedented rates. The infrastructure is crumbling:
- Spinner wheels are back in fashion
- The most sensitive types of user data are uploaded to the cloud and occasionally leaked
- Spiky demand leads to infrastructure capacity crunch and underutilization at the same time
Argmax is building the critical infrastructure required to bring real-time AI workloads to the edge:
- Autoscaling instantly and infinitely
- Private and compliant by design
- Reliable beyond even the multi-cloud platforms
The hardest part: We are directly migrating cloud workloads to the edge, without compromising accuracy that our customers work so hard to achieve. This is a hard core technology problem and we built the mission-driven team with a long-term vision to make on-device the default way to build AI applications. Join us if this sounds like you and you have 3+ years to stake!
Argmax builds an open-source platform and SDK to deploy foundation AI models on user devices, enabling on-device inference for privacy-friendly, real-time, offline AI. It offers FMOD (Foundation Models On Device) with toolkits like WhisperKit Pro for speech-to-text and speaker recognition and DiffusionKit Pro for diffusion models, designed to run on devices ranging from modern to older smartphones and tablets. The company differentiates itself through founders with deep Apple-on-device inference experience, a clear focus on per-device pricing and unlimited usage plans for developers and enterprises, and an emphasis on privacy, security, and predictable costs compared to cloud-based AI. Its goal is to accelerate the adoption of on-device AI by providing production-ready edge AI tooling that performs well on-device and can be deployed across various industries.
Explore more opportunities at Argmax