Computer Vision Engineer – Video & VLM (m/f/d)

At Almetra, we’re on a mission to reinvent how factories work.

Every car, wind turbine and medical device comes from a factory. But factories are running out of people and need better tools to see what’s really happening on the shop floor.

That’s where we come in. Almetra builds AI-powered computer vision systems that show manufacturers how their production lines actually run, and how to improve them.

As a Computer Vision Engineer – Video & VLM, you’ll own the video models at the core of our product, from tracking people at each station to recognising every step of the work with vision-language models. You’ll work closely with our Head of VLM, the ML team and our platform engineers.

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Your role

• Improve our computer vision pipeline end to end, from person and hand tracking to action recognition with VLMs

• Fine-tune and evaluate vision-language models on real factory video, especially on steps that look alike

• Run models reliably on video in the cloud and on edge devices in factories, with checks that catch weak results early

• Make models faster and cheaper to run (distillation, quantization, smaller backbones)

• Help shape how we approach video understanding at Almetra

You are

• Experience building computer vision and deep learning models for video (not only still images), ideally used by real users

• Hands-on experience fine-tuning VLMs or large video models (e.g. InternVL, Qwen-VL or similar)

• Strong PyTorch and multi-GPU training, plus clean, reproducible Python

• Experience running models in production pipelines, in the cloud and/or on edge devices (Docker, AWS, Jetson or similar)

• A pragmatic mindset: you care that it works every day, not only on the benchmark

Nice to have

• Person detection and tracking in crowded scenes, especially transformer-based detectors (DETR family, Grounding DINO)

• TensorRT, quantization and inference optimisation for edge

• Temporal grounding or video captioning

• Publications on video or multimodal learning

• Industrial, retail or other real-world camera settings

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Why this role matters

You bridge research and production — turning cutting-edge computer vision models into robust, real-time systems that power intelligent industrial automation.

What we offer

Employee Share Options Program for all permanent employees*