
Artificial Intelligence • Geospatial Analytics • Gaming
blackshark. ai is a cutting-edge geospatial platform that provides a real-time, accurate, and photorealistic 3D digital twin of the entire planet. Leveraging advanced machine learning techniques, blackshark. ai analyzes current satellite and aerial imagery to extract insights about the Earth's infrastructure on a global scale. Its technology supports a range of applications, including simulation, visualization, and data analysis, making it invaluable for industries such as urban planning, aviation, and geospatial analytics.
51 - 200 employees
🤖 Artificial Intelligence
🎮 Gaming
💰 $15M Series A on 2023-11
November 7

Artificial Intelligence • Geospatial Analytics • Gaming
blackshark. ai is a cutting-edge geospatial platform that provides a real-time, accurate, and photorealistic 3D digital twin of the entire planet. Leveraging advanced machine learning techniques, blackshark. ai analyzes current satellite and aerial imagery to extract insights about the Earth's infrastructure on a global scale. Its technology supports a range of applications, including simulation, visualization, and data analysis, making it invaluable for industries such as urban planning, aviation, and geospatial analytics.
51 - 200 employees
🤖 Artificial Intelligence
🎮 Gaming
💰 $15M Series A on 2023-11
• Work within a highly motivated team to create resilient, high-scale, low latency, distributed microservices that run on hundreds of nodes in the cloud • Solve complex scaling challenges as we push the limits ML inference on vast amounts of geospatial data • Collaborate with a team of ML Engineers and GIS engineers to create and maintain cutting-edge GIS software products
• Strong practical knowledge of Python or experience with dynamic typing • Degree in Computer Science or equivalent experience • Familiar with databases such as PostgreSQL • Good grasp of software engineering fundamentals: unit testing, CI/CD, automated quality assurance, integration testing, reliability, and reproducibility • Outcome-oriented, proactive in identifying and solving issues • Ideally experience designing, developing and deploying large scale systems or pipelines in AWS • Some experience with setting up model training pipelines and running inference at scale
• Healthy work-life balance • Personalized benefits (learning opportunities, mental wellbeing programs, opportunity to personalize your benefits according to your needs, healthcare plan)
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