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Research Engineer, HealthTech
role at
Meta
This role focuses on developing and enhancing on‑device AI/ML models for Wearables devices, advancing our capabilities in interpreting and processing biomedical signals for health features and bleeding‑edge technologies across our devices.
Base pay range $56,250.00 per year – $173,000.00 per year
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 models into broader product offerings
Set technical direction for research projects
Minimum Qualifications
Currently has, or is in the process of obtaining, a Bachelor's degree in Computer Science, Computer Engineering, a related 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 Qualifications
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
About Meta Meta builds technologies that help people connect, find communities, and grow businesses. From its launch in 2004, Meta has changed the way people connect, empowering billions worldwide through apps like Messenger, Instagram, and WhatsApp. Today, Meta is moving beyond 2D screens toward immersive experiences such as augmented and virtual reality, shaping a future that goes beyond restrictions of screens, distance, and even the rules of physics. Meta is an equal‑employment‑opportunity and affirmative‑action employer and is committed to providing reasonable accommodations for candidates with disabilities.
Seniority level Not Applicable
Employment type Full-time
Job function Engineering and Information Technology
Industries Technology, Information and Internet
#J-18808-Ljbffr
Research Engineer, HealthTech
role at
Meta
This role focuses on developing and enhancing on‑device AI/ML models for Wearables devices, advancing our capabilities in interpreting and processing biomedical signals for health features and bleeding‑edge technologies across our devices.
Base pay range $56,250.00 per year – $173,000.00 per year
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 models into broader product offerings
Set technical direction for research projects
Minimum Qualifications
Currently has, or is in the process of obtaining, a Bachelor's degree in Computer Science, Computer Engineering, a related 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 Qualifications
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
About Meta Meta builds technologies that help people connect, find communities, and grow businesses. From its launch in 2004, Meta has changed the way people connect, empowering billions worldwide through apps like Messenger, Instagram, and WhatsApp. Today, Meta is moving beyond 2D screens toward immersive experiences such as augmented and virtual reality, shaping a future that goes beyond restrictions of screens, distance, and even the rules of physics. Meta is an equal‑employment‑opportunity and affirmative‑action employer and is committed to providing reasonable accommodations for candidates with disabilities.
Seniority level Not Applicable
Employment type Full-time
Job function Engineering and Information Technology
Industries Technology, Information and Internet
#J-18808-Ljbffr