Orcrist Technologies - Machine Learning Engineer (Computer Vision & VLM)
Requirements
• Eligible to work full-time in Germany and willing to undergo the required security clearance and background checks. • Nice-to-haves • Experience with georeferencing, satellite imagery, remote sensing, OpenStreetMap, or photogrammetry. • Experience with large-scale data pipelines, cloud infrastructure, or ML deployment. • Experience with sensors such as drones, antennas, or cameras. • Background in computer vision research, e.g. Fraunhofer IGD or similar. • Knowledge of Russian or Ukrainian language. • Interest or experience in military, intelligence, defense, or public safety domains.
Responsibilities
• Develop, train, evaluate, and fine-tune computer vision and visual language models. • Work on object recognition, detection, classification, and identification. • Build data pipelines, scrapers, and workflows for large-scale visual and geospatial datasets. • Experiment with state-of-the-art and open-source models and turn promising approaches into reliable systems. • Work with satellite imagery, geospatial data, sensors, and other visual intelligence sources. • Take ownership of experimental projects and rapidly explore new ideas and technologies. • Collaborate closely with other engineers and technical leadership on key initiatives. • Travel every 2–4 weeks for architecture reviews and team events. • Bachelor's degree or higher in Computer Science, Physics, Mathematics, or a related field; with excellent grade record from a leading university (Master's preferred). • with excellent grade record from a leading university • Strong academic record and excellent analytical and problem-solving skills. • Strong programming skills and experience developing or fine-tuning AI/ML models. • Experience with computer vision, VLMs, image understanding, or related ML applications. • Strong interest in data, analytics, and data pipelines. • Exceptional ability and motivation to learn new technologies and domains quickly. • Self-directed, hands-on, and comfortable working without close day-to-day management. • Strong team player with clear and honest communication. • Excellent German language skills.
Benefits
• Remote-first, Germany-wide: Work from wherever you do your best work, with regular team gatherings in Berlin and other off-site locations. • Remote-first, Germany-wide: • Flexibility by default: Flexible working hours help you make work fit your life. • Flexibility by default: • Your setup, your way: Get a personal home-office equipment budget to create a workspace that works for you. • Your setup, your way: • 30 days of vacation: Take the time you need to recharge and come back with fresh energy. • 30 days of vacation: • Keep growing: We invest in your personal and professional development. • Keep growing: • Get rewarded for impact: Performance bonuses are tied to agreed objectives and key results. • Get rewarded for impact: • A warm welcome: Every new team member gets a welcome goodie bag. • A warm welcome: • Good people, good times: From summer and Christmas parties to regular team gatherings, we make time to celebrate together. • Good people, good times: • A mission that matters: Work on challenges with tangible impact on public safety and national security. • A mission that matters:
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