Entwickelt und trainiert generative 3D-Weltmodelle und Diffusionsmodelle für Bild und Video, inklusive verteiltem Training und Produktivsetzung.
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.
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality.
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.
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.
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
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
Huawei s Heisenberg Research Center in Munich is responsible for advanced technology research, architectural development, design and strateg
To strengthen our AI for Science (AI4S) team, we are looking for Software Engineers with a track record in developing production-grade, data
About Black Forest Labs We’re the team building the foundational layer for visual intelligence: multimodal models trained jointly on images,
What we build Most companies find out about supplier insolvencies, cyber attacks, factory fires or floods that affect their supply chain whe
As an AI Deployment Strategist with Science Focus, you will drive the adoption and deployment of Mistral s AI solutions for science-heavy pr
sensmore is a Berlin/Potsdam-based robotics startup delivering production-proven automation for industries where the world’s raw materials a
We are looking for an ML Engineer to own the production inference stack for our text-to-speech (TTS) and speech recognition (ASR) models, end to end.
/Preferred Qualifications Your impact: - Architect and implement agentic AI solutions for semiconductor applications - Develop multi-agent s
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency.
Protect AI models, algorithms, and data from emerging threats.
Definiert die Kamera-Erfassungsspezifikation für Manipulations-Trainingsdaten, baut das Evaluationsframework und trainiert erste Roboter-Policies auf eigenen Daten.
Nebius Science is looking for an AI Science Writer based in the EU.
AI Large Language Model (LLM) Technology Architect Career Level: Associate Manager / Specialist YOU ARE As a hands-on AI/LLM Architect, you
Entwickelt und verbessert 3D-Rekonstruktionsmethoden und Szenenrepräsentationen wie Gaussian Splats, von Optimierung pro Szene bis zu Feed-forward-Modellen.
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality.
Warum dieser Job gelistet ist
Das Arbeitsergebnis ist selbst KI: Ohne die KI-Aspekte (Diffusion, World Models, Modelltraining) gäbe es keine Kernaufgabe mehr.. Prüfverfahren ansehen
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality. We are moving beyond 2D pixels to build models that natively understand the physics and geometry of our world. Our mission is to redefine how industries, from robotics and AR/VR to gaming and cinema, generate and interact with physically-grounded 3D environments.
We’re looking for individuals who are bold, innovative, and driven by a passion for pushing the boundaries of what’s possible. You should thrive in an environment where creativity meets challenge and be fearless in tackling complex problems. Our team is built on a foundation of dedication and a shared commitment to excellence, so we value people who take immense pride in their work and place the collective goals of the team above personal ambition.
As a part of SpAItial, you’ll be at the forefront of the AI revolution in generative AI technology, and we want you to be excited about shaping the future of this dynamic field. If you’re ready to make an impact, embrace the unknown, and collaborate with a talented group of visionaries, we want to hear from you. Responsibilities - Architect generative world models that reason about space, time, and physics. - Design and develop image/video diffusion foundational ML models. - Large-scale distributed model training on top of distributed cloud infra. - Develop demos showcasing the trained model prototypes. - Processing and maintaining large data for model training. - Productionizing models, test-time model optimization.
Key Qualifications: - PhD in Computer Science or related field with a top-tier publication record in ML, Vision or graphics (CVPR, ECCV/ICCV, NeurIPS, SIGGRAPH, etc.). - Strong knowledge of generative models such as image or video diffusion. - Strong knowledge of cutting-edge architectures including diffusion transformers (DiT). - Rich experience with deep learning frameworks such as PyTorch. - Expert coding skills, and ability to rapidly iterate through ML experiments, including usage of modern AI coding tools. At SpAItial, we are committed to creating a diverse and inclusive workplace. We welcome applications from people of all backgrounds, experiences, and perspectives.
We are an equal opportunity employer and ensure all candidates are treated fairly throughout the recruitment process.
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.