Description

At Meta's Reality Labs Research, our goal is to make world-class consumer virtual, augmented, and mixed reality experiences. Come work alongside industry-leading scientists and engineers to create the technology that makes VR and AR pervasive and universal. Join the adventure of a lifetime as we make science fiction real and change the world. We are a world-class team of researchers and engineers creating the future of augmented and virtual reality, which together will become as universal and essential as smartphones and personal computers are today. And just as personal computers have done over the past 45 years, AR and VR will ultimately change everything about how we work, play, and connect.We are developing all the technologies needed to enable breakthrough Smartglasses, AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interfaces, haptic interaction, eye/hand/face/body tracking, perception science, and true telepresence. Some of those will advance much faster than others, but they all need to happen to enable AR and VR that are so compelling that they become an integral part of our lives.The Audio team at Meta Reality Labs is looking for a software engineer to enable large-scale collection, processing and management of the data that underpins the research & development of audio AR & VR technologies. You will be supporting on-site data collection activities and building tooling for data processing and management as needed. You will be working closely with researchers and engineers building novel computational & machine learning systems.

Software Engineer - Data Collection Responsibilities:

• Investigate, design and implement novel tools and platforms that enable more efficient and effective delivery of data to researchers for the training and evaluation of ML models
• Conduct data analysis with meticulous attention to detail to identify opportunities for future data quality enhancements
• Develop comprehensive documentation to facilitate the efficient adoption and utilization of tools and data
• Build a community of researchers and other team members by sharing software engineering best practices, tips and techniques
• Collaborate in a team environment across multiple scientific and engineering disciplines, making the architectural trade offs required to rapidly deliver software solutions

Minimum Qualifications:

• BSc degree in Computer Science or a related field, or equivalent work experience
• 3+ years of professional programming experience in building performance sensitive systems
• Experience working with large data collection systems and datasets for machine learning
• Proficient in software design in Python

Preferred Qualifications:

• Experience shipping one or more products on large code bases that span a range of platforms and tools
• Experience processing data from user-connected sensors (audio, video, IMU)
• Experience with Linux, networking and shell scripting
• Demonstrated experience working within interdisciplinary teams
• Experience working in AR/VR

About Meta:

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 today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

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.