机器学习工程师（计算机视觉与视觉语言模型）
ML Engineer (Computer Vision & VLM)
Orcrist 正在使用前沿技术构建下一代数据智能平台。我们处理海量数据，实现亚秒级查询。我们的产品是一个基于 Kubernetes 的平台，以 B2B SaaS 或自托管的本地解决方案形式交付，包括隔离部署。我们为国防、执法和企业客户提供服务，帮助他们将关键任务数据转化为可操作的情报。
职位描述
我们正在寻找一位动手能力强的机器学习工程师，负责在主要情报和公共安全项目中开发和生产化现代计算机视觉和视觉语言能力。你将直接与最先进的开源计算机视觉模型、视觉语言模型（VLMs）及相关 AI 技术合作——进行训练、评估、微调和优化，以适应实际应用场景。
你将面对包括目标识别与识别、图像和文档理解、地理空间数据、卫星图像和大规模视觉数据等挑战性问题。该职位结合了模型开发与实际工程：构建数据管道和爬虫，运行实验，并将有前景的方法转化为可靠的系统。
这是一个高度动手的职位，适合具备出色学习能力、强大的分析和工程技能，并对在情报和公共安全领域应用 AI 解决复杂问题有真实兴趣的人。你将与其它工程师、技术领导和跨职能团队紧密合作，将想法和实验转化为有影响力的能力。
你将负责的工作
- 开发、训练、评估和微调计算机视觉和视觉语言模型。
- 从事目标识别、检测、分类和识别工作。
- 构建用于大规模视觉和地理空间数据集的数据管道、爬虫和工作流。
- 实验最先进的开源模型，并将有前景的方法转化为可靠系统。
- 与卫星图像、地理空间数据、传感器和其他视觉情报来源合作。
- 对实验项目负责，并快速探索新想法和技术。
- 与其他工程师和技术领导密切合作，参与关键项目。
- 每 2-4 周进行一次架构评审和团队活动的出差。
关于你
- 计算机科学、物理、数学或相关领域的学士学位或更高学历；来自顶尖大学的优异成绩（硕士优先）
查看英文原文
Orcrist is building a next generation data intelligence platform using cutting-edge technologies. We're handling petabyte-scale data with sub-second queries. Our product is a Kubernetes‑based platform delivered as B2B SaaS or as a self‑hosted on‑prem solution, including air‑gapped deployments. We enable customers across defense, law enforcement, and enterprise to turn mission-critical data into actionable intelligence.
Role
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, and large-scale visual data. The role combines model development with practical engineering: building data pipelines and scrapers, running experiments, and taking promising approaches into reliable systems.
This is a highly hands-on role for someone with exceptional learning ability, strong analytical and engineering skills, and 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.
About you
- 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.
What we offer
- 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.