SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality.
Before the detail, here s the challenge you d help us solve.
The Inference Foundation team owns the core of Mistral s inference stack: the inference engine and its orchestration, from the feature set a
Build and ship models that predict user value, engagement, and reward behaviour.
Leitet die digitale Transformation und Datenanalyse der Arbeitsvorbereitung bei Airbus und automatisiert Prozesse mit RPA, ML und KI.
Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
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Your Mission At Accenture, you shape the environment in which you thrive – with ways of working that suit you.
Betreut SEM-Strategien für große Kunden, steuert Google-, Bing- und SA360-Kampagnen und baut KI-gestützte Automatisierungen und Tests auf.
Die KfW nutzt Cloud-Technologien, um Anwendungen mit Künstlicher Intelligenz umzusetzen.
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Betreut die BioNMR-Anlage, schult Nutzer, baut Python/R-Datenpipelines und integriert ML-Werkzeuge in die Spektrenverarbeitung.
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German (C1+) and English required You make sure 10+ software companies get real value out of AI.
& Verantwortlichkeiten Entwicklung und Implementierung von AI- und Agenten-Lösungen von der Idee bis zum produktiven Einsatz Konzeption mode
Job Title: System Integrator / Software Engineer – Robotic Hand (m/f/d) Location: Berlin, Germany Why this role matters Having secured disru
Baut Signierung, Provenienz und Delta-Updates für KI-Modelle als versionierte Pakete und testet sie auf echter Robotik-Hardware.
Warum dieser Job gelistet ist
KI ist Gegenstand der Rolle (Kernbegriffe in Titel/Anforderungen). 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 seeking a Research Engineer to own the backend that serves our world models. You will build and run the inference systems behind our product and API, turning frontier research models into fast, reliable, and scalable services. This is a hands-on role for someone who has already owned production APIs in an AI system and can work closely with researchers to bring new models to users.
Responsibilities - Own the inference services and APIs that power our product, from request to generated output. - Optimize serving performance, reliability, and cost at scale. Maximize GPU utilization and minimize device memory footprint. - Apply latest techniques for improving inference performance. - Deploy research models as production services, including customer-specific configurations. - Work with research and product colleagues to bring new models to users. Key qualifications - 3+ years of software engineering in an AI, machine learning, or computer vision product environment. - Experience designing and owning production APIs. - Strong Python, and experience shipping containerized services on GPU inference platforms. - Hands-on GPU inference performance work: profiling, memory, batching, and cold start. - Familiarity with 3D or computer vision data is a strong plus.
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.
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