Turtle Privacy AB
Remote
ML
Remote
Computer Vision Engineer (R&D Focus) at Turtle Privacy AB
This vacancy has expired
The posting is more than 90 days old or has passed its employer-provided deadline and no longer accepts applications.
Applications: 00
Computer Vision Engineer (R&D Focus)
Turtle Privacy AB
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.
Responsibilities:
•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
Requirements:
• 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
Contacts:
📱 @Jungleb0b0 (please send your CV and relevant porfolio/github)
Turtle Privacy AB
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.
Responsibilities:
•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
Requirements:
• 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
Contacts:
📱 @Jungleb0b0 (please send your CV and relevant porfolio/github)
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