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Computer Vision Engineer (R&D Focus) в Stealth startup
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1250 to 2500 USD gross per month · Remote
The company provides football data science by enabling anyone to use their smartphone to film their matches and use computer vision to get high quality data/statistics back on each individual/player performance.
The company provides football data science by enabling anyone to use their smartphone to film their matches and use computer vision to get high quality data/statistics back on each individual/player performance.
1250 to 2500 USD gross per month · Remote
Responsibilities5
•Enhancing our sports analytics platform, which leverages smartphone cameras to capture and analyze detailed football match metrics
• Research & development in detection, tracking, and classification for football matches
• Design and implement robust algorithms to extract critical match metrics from video footage captured by smartphone cameras.
• Develop models for player identification, ball movement, and game events
• Continuously refine and optimize models for accuracy
• Optimize models for speed and robustness in real-world conditions
• Research & development in detection, tracking, and classification for football matches
• Design and implement robust algorithms to extract critical match metrics from video footage captured by smartphone cameras.
• Develop models for player identification, ball movement, and game events
• Continuously refine and optimize models for accuracy
• Optimize models for speed and robustness in real-world conditions
Requirements6
• Minimum B.Sc. degree in Computer Science or related field
• Proven experience in computer vision research and development
• Strong track record of implementing computer vision models
• Knowledge of computer vision libraries and frameworks
• Experience with deep learning techniques and architectures
• Familiarity with video processing and analysis techniques
• Proven experience in computer vision research and development
• Strong track record of implementing computer vision models
• Knowledge of computer vision libraries and frameworks
• Experience with deep learning techniques and architectures
• Familiarity with video processing and analysis techniques
Contacts
📱 @Jungleb0b0 (please send your CV and relevant porfolio/github)