# Machine Learning Engineer (Computer Vision & VLM) at Orcrist Technologies

> Remote · Germany · Unspecified · ML / AI · open. Source: https://alderhq.app/jobs/greenhouse%3Aorcristtechnologies%3A4980344101 (read 2026-11-11).

## Facts (observed)

- Company: [Orcrist Technologies](https://alderhq.app/companies/orcrist-technologies)
- Location text: Remote / Germany; Remote
- Where it can be done from (inferred): Remote · Germany (evidence: "Location: Remote / Germany; Remote")
- Posted: 2026-09-18 (54 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-07
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.eu.greenhouse.io/orcristtechnologies/jobs/4980344101
- Skills listed (inferred): Kubernetes

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (Germany, n 7): p25 €75k, median €85k, p75 €155k

## Description (the employer's text)

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.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Aorcristtechnologies%3A4980344101 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.