Meta Platforms
Software Engineer, Sensor Fusion and Machine Learning
Meta Platforms, Burlingame, California, United States, 94012
Software Engineer, Sensor Fusion and Machine Learning
Burlingame, CA Full Time Meta is building the Metaverse, the "spatial internet" where immersive virtual worlds will coexist with the real world. Spatial AI team under Reality Labs (RL) develops cutting-edge technologies that serve as the foundation of Meta AR/VR products. From tracking & localization to context/semantic understanding, our team takes new technologies from early concept to the product level while prototyping and realizing the new experiences they open up. We are looking for software engineers who are passionate about building tracking & positioning solution for AR/VR devices. In this role, you will be involved in novel technology development using a variety of sensors for inertial and visual motion tracking, spatial mapping & understanding, and sensor fusion for positioning and places identification. You will collaborate with other engineers and researchers in deploying such solutions in RL devices and light-up the next generation experiences such as world-locked rendering, AI powered spatial recommendation, and fitness tracking. Responsibilities
Lead the design and development of advanced tracking and sensor fusion algorithms that leverages visual/IMU inertial tracking with other sensor data (e.g., GPS, WiFi, magnetometer, barometer, etc.) to achieve robust and accurate device position estimation for AR/VR devices in any environments Follow the state of art tracking & localization technology and define our tech roadmap for adopting these technologies into RL devices Lead execution and collaboration with multidisciplinary engineering and research teams to drive technologies development from incubation to production Be a go-to person to escalate the most complex online/production performance issues that require an in depth knowledge Define projects for other engineers to possibly solve and achieve impact based on your direction Minimum Qualifications
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Industry experience coding with C++ and Python for design and development of tracking, sensor fusion and machine learning technologies and systems Experience in designing software systems and machine learning models targeted for edge devices Demonstrated familiarity with modern machine learning algorithms and experience with modern machine learning frameworks such as PyTorch Preferred Qualifications
Experience with common digital signal processing techniques such as digital filtering, Fourier transform, correlation, and modulation. Experience in handling sensors such as IMU, magnetometer, WiFi/BLE, Camera and GNSS. PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics or related technical field. Experience in inertial/visual motion tracking, Kalman filters and state estimation, neural inertial fusion, visual or wireless positioning. Experience mobile optimization, DSP acceleration, Android Open Source Project. $85.10/hour to $251,000/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.
Burlingame, CA Full Time Meta is building the Metaverse, the "spatial internet" where immersive virtual worlds will coexist with the real world. Spatial AI team under Reality Labs (RL) develops cutting-edge technologies that serve as the foundation of Meta AR/VR products. From tracking & localization to context/semantic understanding, our team takes new technologies from early concept to the product level while prototyping and realizing the new experiences they open up. We are looking for software engineers who are passionate about building tracking & positioning solution for AR/VR devices. In this role, you will be involved in novel technology development using a variety of sensors for inertial and visual motion tracking, spatial mapping & understanding, and sensor fusion for positioning and places identification. You will collaborate with other engineers and researchers in deploying such solutions in RL devices and light-up the next generation experiences such as world-locked rendering, AI powered spatial recommendation, and fitness tracking. Responsibilities
Lead the design and development of advanced tracking and sensor fusion algorithms that leverages visual/IMU inertial tracking with other sensor data (e.g., GPS, WiFi, magnetometer, barometer, etc.) to achieve robust and accurate device position estimation for AR/VR devices in any environments Follow the state of art tracking & localization technology and define our tech roadmap for adopting these technologies into RL devices Lead execution and collaboration with multidisciplinary engineering and research teams to drive technologies development from incubation to production Be a go-to person to escalate the most complex online/production performance issues that require an in depth knowledge Define projects for other engineers to possibly solve and achieve impact based on your direction Minimum Qualifications
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Industry experience coding with C++ and Python for design and development of tracking, sensor fusion and machine learning technologies and systems Experience in designing software systems and machine learning models targeted for edge devices Demonstrated familiarity with modern machine learning algorithms and experience with modern machine learning frameworks such as PyTorch Preferred Qualifications
Experience with common digital signal processing techniques such as digital filtering, Fourier transform, correlation, and modulation. Experience in handling sensors such as IMU, magnetometer, WiFi/BLE, Camera and GNSS. PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics or related technical field. Experience in inertial/visual motion tracking, Kalman filters and state estimation, neural inertial fusion, visual or wireless positioning. Experience mobile optimization, DSP acceleration, Android Open Source Project. $85.10/hour to $251,000/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.