Job description

Title: Research Scientist Location : Redmond, WA Duration : 12 Months Pay: $65-72/hr on W2 About the Team At *** 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. About the Role The team is looking for machine learning or computer vision engineers. This role focuses on developing and deploying advanced machine learning systems for egocentric human behavior understanding in AR and VR — including gaze direction, head orientation, and speaker identification in challenging, noisy environments. An ideal candidate will be passionate about adapting state-of-the-art machine learning, computer vision, and AI systems into egocentric machine perception on the one hand, and developing advanced proof-of-concept demonstration platforms and frameworks on the other. Responsibilities Implement time domain, multi-modal, and related multi-sensory machine learning models, primarily via adaptation of existing models and algorithms from literature (open source, existing frameworks from the team, etc.) Working with peers and collaborators, develop multi-view geometry tracking and localization frameworks for early prototyping and testing of Client machine learning and computer vision algorithms Support prototyping and R&D demonstration teams in deploying algorithms to wearable form factors such as smart glasses Leverage AI-native platforms for code development and fast build-and-test of Client algorithms (coding primarily in Python/PyTorch, with limited C++) Minimum Qualifications • M.S. in a relevant field such as Deep Learning, Machine Learning, Computer Vision, Computer Science, Statistics, or equivalent work experience • 3+ years experience with development and implementation of machine learning, computer vision, or deep learning algorithms • 3+ years experience with deep learning frameworks such as PyTorch or TensorFlow • 3+ years experience with scientific programming languages such as Python and C++ • Demonstrated ability to independently build, train, and evaluate machine learning models • Demonstrated ability to implement and evaluate working, end-to-end prototypical learning systems • Interpersonal skills: cross-group and cross-culture collaboration Additional Preferred Qualifications • Currently has, or is in the process of obtaining, a PhD in Deep Learning, Machine Learning, Computer Vision, Computer Science, Statistics, or a related field • Experience applying machine learning to motion capture data (e.g., OptiTrack, Vicon, or similar systems) • Experience with eye tracking systems (e.g., Tobii or comparable) • Experience with machine learning applied to human behavior analysis — gaze estimation, head pose estimation, speaker identification/diarization • Experience building tracking and localization systems such as SLAM Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation. #TMMT

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Title: Research Scientist
Location : Redmond, WA
Duration : 12 Months
Pay: $65-72/hr on W2
About the Team
Implement time domain, multi-modal, and related multi-sensory machine learning models, primarily via adaptation of existing models and algorithms from literature (open source, existing frameworks from the team, etc.)
Working with peers and collaborators, develop multi-view geometry tracking and localization frameworks for early prototyping and testing of Client machine learning and computer vision algorithms
Support prototyping and R&D demonstration teams in deploying algorithms to wearable form factors such as smart glasses
Leverage AI-native platforms for code development and fast build-and-test of Client algorithms (coding primarily in Python/PyTorch, with limited C++)
M.S. in a relevant field such as Deep Learning, Machine Learning, Computer Vision, Computer Science, Statistics, or equivalent work experience
3+ years experience with development and implementation of machine learning, computer vision, or deep learning algorithms
3+ years experience with deep learning frameworks such as PyTorch or TensorFlow
3+ years experience with scientific programming languages such as Python and C++
Demonstrated ability to independently build, train, and evaluate machine learning models
Demonstrated ability to implement and evaluate working, end-to-end prototypical learning systems
Interpersonal skills: cross-group and cross-culture collaboration
Currently has, or is in the process of obtaining, a PhD in Deep Learning, Machine Learning, Computer Vision, Computer Science, Statistics, or a related field
Experience applying machine learning to motion capture data (e.g., OptiTrack, Vicon, or similar systems)
Experience with eye tracking systems (e.g., Tobii or comparable)
Experience with machine learning applied to human behavior analysis — gaze estimation, head pose estimation, speaker identification/diarization
Experience building tracking and localization systems such as SLAM

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Additional Preferred Qualifications

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machine learningaipython

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