Research Scientist Intern, Machine Learning For Sensor Systems (Phd)

Meta Reality Labs is developing products that will contribute to the development of augmented and virtual reality. Amongst other focus areas, the group specializes in research and implementation of motion sensors with an eye towards driving the state of the art through relentless innovation. Our team applies a range of software engineering and Machine Learning techniques to develop algorithms for Sensor Systems. We’re looking for candidates with expertise in Machine Learning, data science and signal processing to help with the development of novel Sensor Systems and algorithms within the Motion Sensors Team, while collaborating with experts across multiple domains.Our internships are twelve (12) to sixteen (16) weeks long and we have various start dates throughout the year.

Research Scientist Intern, Machine Learning for Sensor Systems (PhD) Responsibilities:

• Collaborate with other researchers and engineers across both hardware and research teams to develop deep learning algorithms that advance the state-of-the-art in Motion Sensing
• Apply signal processing and Machine Learning methods to analyze datasets.
• Optimize algorithms for low power consumption while maintaining high accuracy. Conduct testing and validation of algorithms using relevant datasets and real-world scenarios.
• Document and communicate findings, methodologies, and results effectively.

Minimum Qualifications:

• Currently has, or in the process of obtaining, a Ph.D. degree in the field of Computer Science, Machine Learning, or related fields.
• Proficiency in programming languages such as Python, C or C++.
• Experience in Machine Learning algorithm development and state-of-the-art models (e.g., CNN, SVM, LSTM, RNN).
• Experience with Machine Learning implementation frameworks (e.g., TensorFlow, PyTorch).
• Understanding of signal processing and sensor fusion techniques.
• Must be eligible to work in the country of employment at the time of hire and maintain ongoing work authorization during employment.

Preferred Qualifications:

• Experience with developing Machine Learning algorithms for motion tracking and localization, e.g. sensor fusion, Extended Kalman filter, state estimation, AI/ML, and/or similar algorithms.
• Practical experience in implementing and optimizing Machine Learning algorithms in resource-constrained environments.
• Familiarity with inertial sensors, magnetometers, ultrasonic transducers, pressure sensors, and/or similar sensors.
• Familiarity with the emerging Augmented Reality and Virtual Reality technologies.
• Intent to return to a degree-program after the completion of the internship/co-op.

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.