Computer Vision Engineer – Video & VLM (m/f/d)
Improve our computer vision pipeline end to end, from person and hand tracking to action recognition with VLMs - Fine-tune and evaluate visi
Improve our computer vision pipeline end to end, from person and hand tracking to action recognition with VLMs - Fine-tune and evaluate visi
We are seeking a senior machine learning (ML) research developer to join our team working on a novel AI safety agenda.
We are seeking a Senior Machine Learning (ML) Research Scientist to join our team working on a novel AI safety agenda.
Entwickelt und trainiert Deep-Learning-Modelle für Wahrnehmung und Navigation autonomer Schwermaschinen und integriert sie in Robotiksysteme.
Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
Design and adapt vision-language and video models for scene understanding, temporal reasoning and activity / action recognition - Build and
Entwickelt und trainiert generative 3D-Weltmodelle und Diffusionsmodelle für Bild und Video, inklusive verteiltem Training und Produktivsetzung.
At Helsing, we are pioneering the future of autonomous decision-making for defence.
Your mission dida is a machine learning software company with exciting problems for instance in computer vision and natural language processing.
Your mission You will - work on machine learning research projects, in particular addressing the question of how machine learning methodolog
Entwickelt KI-Systeme, die Vision und Sprache für die Autonomie schwerer Robotermaschinen verbinden, und begleitet sie bis zum Produktiveinsatz.
Master s degree or PhD in Computer Science, Information Systems, Robotics, Computer Vision, or a related field.
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality.
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality.
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and simulation.
As an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications.
Bridge the gap: Develop and maintain the hardware abstraction layers that allow our higher-level autonomy modules to interact seamlessly with the physical robot.
As an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications.
is hands-on and code-heavy — you will work inside the same monorepo as the research team, mostly in Python, and should be as comfortable ref
Lead R&D efforts to prototype a new robotic manipulator, conducting rigorous testing to validate design specifications and performance criteria.
adjoe builds the technologies behind mobile apps growth and monetization.
At ARX Robotics, you will help advance the perception capabilities of next-generation unmanned ground vehicles.
adjoe builds the technologies behind mobile apps growth and monetization.
Overview We are looking for experienced Machine Learning and AI Experts to help train and evaluate advanced AI models.
To strengthen our AI for Science (AI4S) team, we are looking for AI/ML Engineers with a track record in developing and validating machine le
Warum dieser Job gelistet ist
Eindeutige KI-Rollenbezeichnung im Stellentitel. Prüfverfahren ansehen
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
- 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 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.
Employee Share Options Program for all permanent employees An increasing benefits list: currently includes Urban Sports club and quarterly team retreats. Be on the forefront in defining what artificial intelligence means in manufacturing Gain hands-on experience in working in an AI-first software company Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact Network with professionals and leaders in the field, opening doors to potential future career opportunities We have a very flat hierarchy, open 360° feedback, and flexible working hours Ethics⚖: We are committed to developing ethical AI software Don t meet all the requirements? Almetra is committed to creating a workplace that is diverse, fair, and inclusive. We encourage candidates from all backgrounds, even if they do not meet every qualification, to submit their application. We firmly believe that having a team with diverse perspectives only strengthens our company and drives innovation. Our commitment also extends to providing an accessible environment for everyone, including those with disabilities. Please let us know if you require any accommodations during the application process or while working with us, and we will do our best to support you. Only full-time, permanent roles are eligible for stock options. Part-time roles, contract roles, work-student, internships and freelance roles are not eligible for stock options.
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.
Interesse an dieser Position?
Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur OriginalanzeigeModelle bauen, trainieren und verbessern: von klassischem Machine Learning über Computer Vision bis zum Feinschliff großer Sprachmodelle.