Meta Platforms
Research Engineer, Wearables Multimodal AI
Meta Platforms, Burlingame, California, United States, 94012
Research Engineer, Wearables Multimodal AI
Reality Labs at Meta is building products that make it easier for people to connect with the ones they love most, enjoy top-notch, wire-free VR, and push the future of computing platforms. We are a team of world-class experts developing and shipping products at the intersection of hardware, software and content. As Research Engineer on the Reality Labs team at Meta, you can help build new, innovative hardware and software that radically redefine the way people work, play and connect. What we build today could one day be the norm. So to be here today is to truly be at the heart of change and the frontier of what's to come. Meta is seeking AI Software Engineers to join our Research & Development teams. The ideal candidate will have industry experience working on VLM, LLMs and related topics. The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist on the web. We are hiring in multiple locations. Responsibilities
Apply relevant AI and machine learning techniques to build intelligent rich visual systems that improve Meta's products and experiences Consistently and sustainably advance the state of AI for your problem, including setting and executing against roadmaps for 6-month plus timeframes Effectively define projects for other engineers to possibly solve and achieve impact based on your direction Develop novel, accurate AI algorithms and advanced systems for large scale applications Understand why some signals and model configurations work while others don't and be able to drive more gain from these findings Define use cases and develop methodology and benchmarks to evaluate different approaches Minimum Qualifications
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 Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 2+ years of experience developing computer vision algorithms or computer vision infrastructure in C/C++ or Python Experience in one or more of the following areas: Deep Learning, Computer Vision, AR/VR, 3D Vision, Robotics, Machine Learning or artificial intelligence Preferred Qualifications
Experience in deep learning and PyTorch Experience with distributed systems or on-device algorithm development Experience contributing to AI Publications For those who live in or expect to work from California if hired for this position, please click for additional information. Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible todaybeyond the constraints of screens, the limits of distance, and even the rules of physics. $56.25/hour to $173,000/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.
Reality Labs at Meta is building products that make it easier for people to connect with the ones they love most, enjoy top-notch, wire-free VR, and push the future of computing platforms. We are a team of world-class experts developing and shipping products at the intersection of hardware, software and content. As Research Engineer on the Reality Labs team at Meta, you can help build new, innovative hardware and software that radically redefine the way people work, play and connect. What we build today could one day be the norm. So to be here today is to truly be at the heart of change and the frontier of what's to come. Meta is seeking AI Software Engineers to join our Research & Development teams. The ideal candidate will have industry experience working on VLM, LLMs and related topics. The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist on the web. We are hiring in multiple locations. Responsibilities
Apply relevant AI and machine learning techniques to build intelligent rich visual systems that improve Meta's products and experiences Consistently and sustainably advance the state of AI for your problem, including setting and executing against roadmaps for 6-month plus timeframes Effectively define projects for other engineers to possibly solve and achieve impact based on your direction Develop novel, accurate AI algorithms and advanced systems for large scale applications Understand why some signals and model configurations work while others don't and be able to drive more gain from these findings Define use cases and develop methodology and benchmarks to evaluate different approaches Minimum Qualifications
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 Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 2+ years of experience developing computer vision algorithms or computer vision infrastructure in C/C++ or Python Experience in one or more of the following areas: Deep Learning, Computer Vision, AR/VR, 3D Vision, Robotics, Machine Learning or artificial intelligence Preferred Qualifications
Experience in deep learning and PyTorch Experience with distributed systems or on-device algorithm development Experience contributing to AI Publications For those who live in or expect to work from California if hired for this position, please click for additional information. Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible todaybeyond the constraints of screens, the limits of distance, and even the rules of physics. $56.25/hour to $173,000/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.