Meta Platforms
Research Engineer, Wearables AI
Reality Labs at Meta is seeking Research Engineers to develop and enhance on-device AI/ML models for our Wearables devices. This role is pivotal in advancing our capabilities in interpreting and processing biomedical signals for gesture recognition, contributing to innovative solutions in human-computer interaction. 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 Minimum Qualifications
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 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 PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field $70.67/hour to $208,000/year + bonus + equity + benefits Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
Reality Labs at Meta is seeking Research Engineers to develop and enhance on-device AI/ML models for our Wearables devices. This role is pivotal in advancing our capabilities in interpreting and processing biomedical signals for gesture recognition, contributing to innovative solutions in human-computer interaction. 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 Minimum Qualifications
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 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 PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field $70.67/hour to $208,000/year + bonus + equity + benefits Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.