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Research Scientist, Wearables AI
MetaNew York City, United Statesfull_timeVerifiedPosted 4 Feb 2025
💰 $208,000/yr($147,000/yr – $208,000/yr)
About the role
Reality Labs at Meta is seeking Research Scientists to develop and enhance 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.Research Scientist, Wearables AI Responsibilities
$१,४७,०००/year to $२,०८,०००/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.
Equal Employment Opportunity and Affirmative Action Meta is proud to be an Equal Employment Opportunity and Affirmative Action 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 support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@meta.com.
- Lead the design, development, and optimization of AI models for gesture recognition.
- Collaborate with cross-functional teams to integrate AI/ML model into broader product offerings.
- Conduct research and experiments to improve model accuracy and efficiency.
- 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 AI and machine learning, particularly in on-device modeling and signal processing.
- Set technical direction for research projects.
- Adapt standard machine learning methods to best leverage embedded systems (e.g. CPU, HTP, NPU, etc.).
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
- Industry experience in artificial intelligence and/or machine learning, with a focus on on-device models.
- Programming experience in Python, C++, or similar.
- Experience with memory optimization, quantization, and/or sparsity.
- 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.
$१,४७,०००/year to $२,०८,०००/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.
Equal Employment Opportunity and Affirmative Action Meta is proud to be an Equal Employment Opportunity and Affirmative Action 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 support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@meta.com.
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