Edge AI Engineer for Wearables & Embedded ML

MVP Ventures; Washington (District of Columbia); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health Insurance

Dental Insurance

Vision Insurance

401k

Development Stipends

Unlimited PTO

Company Holiday

Fertility Benefits

Equity Packages

Job summary

MVP Ventures is seeking a skilled engineer to develop and deploy machine learning models for wearable devices with constrained hardware. You will own the full embedded stack, from low-level firmware drivers to modern user interfaces, enabling seamless edge AI capabilities.

The role requires deep expertise in embedded Linux, firmware development, and ML deployment on limited hardware, plus the ability to work across hardware-software boundaries to deliver robust wearable solutions.

Qualifications

• Experience in developing ML for edge devices and wearables.
• Strong background in embedded Linux and firmware.
• Ability to deploy ML models on resource-constrained hardware.

Responsibilities

• Develop and deploy ML models on hardware-constrained devices for wearables.
• Build and maintain the full embedded stack from firmware to user interfaces.

Skills

Edge AI

Computer Vision

Embedded Systems

Machine Learning Deployment

Firmware Development

Quantization

MLOps

Linux Development

GUI/UI Development

Wireless Communication Protocols

Microcontrollers

Prototyping

Job description

MVP Ventures is seeking a skilled engineer to develop and deploy machine learning models for wearable devices with constrained hardware. You will own the full embedded stack, from low-level firmware drivers to modern user interfaces, enabling seamless edge AI capabilities.

The role requires deep expertise in embedded Linux, firmware development, and ML deployment on limited hardware, plus the ability to work across hardware-software boundaries to deliver robust wearable solutions.