[Hiring] ML Engineer @Orcrist Technologies

Role Description

We are looking for a hands-on Machine Learning Engineer to develop and productionize modern computer vision and visual language capabilities across major intelligence and public safety projects. You will work directly with state-of-the-art and open-source computer vision models, visual language models (VLMs), and related AI technologies — training, evaluating, fine-tuning, and optimizing them for real-world use cases.

You will work on challenging problems including:

• Object recognition and identification
• Image and document understanding
• Geospatial data
• Satellite imagery
• Large-scale visual data

The role combines model development with practical engineering:

• Building data pipelines and scrapers
• Running experiments
• Taking promising approaches into reliable systems

This is a highly hands-on role for someone with:

• Exceptional learning ability
• Strong analytical and engineering skills
• A genuine interest in applying AI to complex problems in the intelligence and public safety domain

You will work closely with other engineers, technical leadership, and cross-functional teams to turn ideas and experiments into impactful capabilities.

What you’ll do:

• 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

Qualifications

• 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)
• 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
• 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

Benefits

• Remote-first, Germany-wide: Work from wherever you do your best work, with regular team gatherings in Berlin and other off-site locations
• Flexibility by default: Flexible working hours help you make work fit your life
• Your setup, your way: Get a personal home-office equipment budget to create a workspace that works for you
• 30 days of vacation: Take the time you need to recharge and come back with fresh energy
• Keep growing: We invest in your personal and professional development
• Get rewarded for impact: Performance bonuses are tied to agreed objectives and key results
• A warm welcome: Every new team member gets a welcome goodie bag
• Good people, good times: From summer and Christmas parties to regular team gatherings, we make time to celebrate together
• A mission that matters: Work on challenges with tangible impact on public safety and national security