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

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2mo ago

🚀 Off-cycle Internship


AI generated summary

  • The candidate must have a Ph.D. in Computer Science or related fields and proficiency in programming languages such as Python, C or C++. They should also have experience in machine learning algorithm development, implementation frameworks like TensorFlow or PyTorch, signal processing, sensor fusion techniques, and eligibility to work in the country of employment. Preferred qualifications include experience with developing machine learning algorithms for motion tracking, familiarity with resource-constrained environments, and knowledge of inertial sensors and emerging AR/VR technologies.
  • The candidate will collaborate with teams to develop advanced deep learning algorithms for motion sensing, analyze datasets using signal processing and machine learning, optimize algorithms for low power consumption, conduct testing and validation, and effectively communicate findings and results.

Off-cycle Internship

Software EngineeringSunnyvale


  • 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.


  • 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.

Education requirements

Currently Studying

Area of Responsibilities

Software Engineering


  • 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.


Work type

Full time

Work mode