Apply on Employer Site

Meta · 2 days ago

Research Engineer, HealthTech

Burlingame, CA

Full-time

Onsite

Entry, Mid Level

2+ years exp

Meta is seeking Research Engineers to develop and enhance on-device AI/ML models for their Wearables devices. This role focuses on advancing capabilities in biomedical signal interpretation and processing, contributing to cutting-edge technologies across various devices.

Computer Software

Comp. & Benefits

Responsibilities

Lead the design, development, and optimization of on-device AI models for gesture recognition

Adapt standard machine learning methods to best leverage embedded systems (e.g. CPU, HTP, NPU, etc.)

Research and develop Deep Learning models under hardware constraints

Explore and adopt new model optimization and quantization techniques

Stay updated with the latest advancements in Embedded AI, particularly in on-device modeling and signal processing

Collaborate with cross-functional teams to integrate AI/ML model into broader product offerings

Set technical direction for research projects

Qualification

AI/ML experienceEmbedded SystemsPython programmingC++ programmingDeep Learning modelsSignal processingResearch skillsTeam collaboration

Required

Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta

2+ years industry experience in AI/ML and Embedded Systems, with a focus on on-device models

Programming experience in Python, C++, or similar

Preferred

Exposure to embedded systems, microcontrollers, edge AI or IoT applications and signal processing

First-author publications in machine learning, signal processing, electrical engineering, computer science, computational neuroscience, statistics, physics, or related fields

Experience with memory optimization, quantization, and/or sparsity

PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field