Job highlights
Identified by Google from the original job post
Qualifications
Bachelor's, Master's, or PhD degree in computer science, computer vision, machine learning, artificial intelligence, human-computer interaction, robotics, or related technical field
3+ years of experience with Python and at least one deep-learning software library (e.g., PyTorch, Caffe2, TensorFlow), including formulation, training, and evaluation of new algorithms and writing reusable modules
3+ years of experience utilizing general software engineering skills, including debugging, version control, logging, documentation, code review, etc
3+ years of experience building ML solutions for challenging real-world interactive applications and proving them through end-to-end prototypes and/or products
Strong written and verbal communication and project management skills
Responsibilities
Build and maintain data and machine learning pipelines, including the consumption and integration of data from a variety of sensors
Design, build and test machine learning systems for real-time sensing and inference (eg., real-time pose estimation, hand-object recognition, task recognition)
Collaborate with other researchers and engineers to advance research in machine learning methods and applications
Job description
Responsibilities
• Build and maintain data and machine learning pipelines, including the consumption and integration of data from a variety of sensors.
• Design, build and test machine learning systems for real-time sensing and inference (eg., real-time pose estimation, hand-object recognition, task recognition).
• Collaborate with other researchers and engineers to advance research in machine learning methods and applications.

Minimum Qualifications
• Bachelor's, Master's, or PhD degree in computer science, computer vision, machine learning, artificial intelligence, human-computer interaction, robotics, or related technical field.
• 3+ years of experience with Python and at least one deep-learning software library (e.g., PyTorch, Caffe2, TensorFlow), including formulation, training, and evaluation of new algorithms and writing reusable modules.
• 3+ years of experience utilizing general software engineering skills, including debugging, version control, logging, documentation, code review, etc.
• 3+ years of experience building ML solutions for challenging real-world interactive applications and proving them through end-to-end prototypes and/or products.
• Strong written and verbal communication and project management skills.

Preferred Qualifications
• Experience with hand, eye, and/or body tracking.
• Experience with multimodal modeling, embeddings, and/or time-series modeling.
• Experience designing data-collection protocols and recording datasets for machine-learning systems.