The Machine Learning Research Scientist position at Meta's Reality Labs Research focuses on audio and speech processing within the realm of augmented and virtual reality. The role involves developing innovative algorithms and signal processing techniques to enhance interactions with AI agents in challenging acoustic environments. The successful candidate will collaborate with a dedicated team of researchers and engineers to push the boundaries of audio technology. This position offers the opportunity to work at the intersection of acoustics, speech, and machine learning.

• Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field.
• Ph.D. or equivalent experience in Applied Mathematics, Audio Engineering and Signal Processing, Acoustics, Electrical Engineering, Computer Science, Biomedical Engineering, or a related field.
• Experience in developing and shipping speech input solutions.
• 3+ years of experience in developing, implementing, and evaluating algorithms and signal processing techniques for speech.
• 3+ years of experience in programming in C++, MATLAB, or Python.
• Experience collaborating with geographically distributed or cross-functional teams.

• Develop novel algorithms and signal processing techniques to solve complex problems at the intersection of machine learning, acoustics, and signal processing.
• Develop sensor fusion solutions with limited compute and memory.
• Develop ML algorithms that deliver on engineering best practices and product quality.
• Lead the development of applications to enable quick prototyping, proof-of-concept, and demonstrations.
• Collaborate with teams in the larger Reality Labs organization and provide creative leadership on cross-team technologies.

• Employees at Meta are often offered comprehensive benefits, including medical/dental/vision coverage, mental-health resources, family planning support (fertility, adoption, surrogacy), and caregiving programs. Financial benefits typically include a competitive retirement plan, equity awards, life insurance, and access to financial coaching and legal support. Time-off benefits commonly feature generous PTO and holidays, unlimited sick time, various paid leaves, flexible “Global Travel Days,” and a 30-day paid break every five years.