Job Description

Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.

Facebook Reality Labs (FRL) Sensors Team is helping build novel products in Augmented and Virtual Reality. Facebook AR/VR research in Computer Vision, Localization, Sensor Fusion, and Machine Learning is driving the state-of-the-art forward through relentless innovation. Our team explores, develops, and delivers new cutting-edge technologies that serve as the foundation of current and future AR/VR products at Facebook. We are looking for candidates with experience in Machine Learning and Signal Processing, to assist with the development of novel software and hardware systems within the FRL Sensors Team, while collaborating with experts across multiple domains.

Responsibilities

• Collaborate with other researchers and engineers across Facebook to develop novel concepts and algorithms that advance the state-of-the-art in AR/VR systems
• Work with the team to help define, implement, and validate data collection pipelines, and run practical experiments related to Sensor Systems and Machine Learning Algorithms
• Design and implement state-of-the-art Machine Learning Algorithms using PyTorch, TensorFlow, or other platforms
  

Minimum Qualification

• PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics, or related fields
• 3+ years’ industry experience working with modern Machine Learning algorithms, specifically Deep Convolutional Networks, Recurrent Neural Networks, Clustering, and Dimensionality Reduction
• 3+ years’ experience in building and training machine learning models in Python, using PyTorch or TensorFlow
• Prototyping and engineering experience in at least one relevant specialization area including, Human Activity Recognition (HAR), Natural Language Processing (NLP), and Time Series Forecasting
• Demonstrated experience in classical Digital Signal Processing techniques, such as Digital Filtering, Fast Fourier Transform (FFT), Wavelet Transform
• Interpersonal experience with cross-group and cross-culture collaboration
  

Preferred Qualification

• Hands-on experience working with Motion Sensors such as Inertial Sensors, Pressure Sensors, Magnetometers, Ultrasonic Transducers
• Experience with Simultaneous Localization and Mapping (SLAM), Visual Inertial Odometry (VIO), Sensor Fusion and State Estimation
• Experience in software engineering in C/C++
• Familiarity with the emerging Augmented Reality and Virtual Reality technologies
• Proven track record of achieving significant results as demonstrated by first-authored publications or implementation of substantial Machine Learning algorithms
• High levels of creativity and quick problem-solving skills
  

Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.