Job Description

• NO Helmet detection, ANPR, Face reading YOLO8
• Work with smart city project
• Design and develop innovative REST APIs and SDKs to deliver computer vision and machine learning capabilities
• Design and implement parallel algorithms in computer vision and machine learning applied to DOE image-based data
• Work on incredibly hard problems in computer vision & machine learning that are of value in the real world
• Lead the team in solving challenges at the forefront of computer vision, designing and architecting the computer vision related project
• Develop software tools involving data-intensive computing, analytics and machine learning, enforcing reproducibility
• Participate in developing algorithms using machine vision and machine learning to recognize subjects, actions, and situations in photos and videos
• Be involved in the entire research and development workflow including formulating the algorithm, collecting sample data, preparing sample data for training supervised learning algorithms, and testing the algorithms
• Be immersed in a 'special operations team' of innovative and top caliber computer scientists, engineers and machine intelligence experts in a collegial and fun environment
• Create world-class computer vision products and cutting edge concepts
• Help drive optimization, testing and tooling to improve data & video quality

Job Type: Full-time

Pay: ?453,629.72 - ?1,754,670.66 per year

Benefits:

• Paid sick time

Schedule:

• Monday to Friday

Supplemental pay types:

• Overtime pay

Experience:

• total work: 1 year (Preferred)

Work Location: In person