20 beste Stellen als research engineer in münchen, by – aktuell auf Personalsuche

Research Engineer - 3D World Models
SpAItial —München
- Vollzeit
- Forschungserfahrung
- Master
- Bachelor
Research Engineer - Graphics
SpAItial —München
- Vollzeit
- Informatik
- Master
- Bachelor
Senior Machine Learning Engineer/ Research Scientist
Tools for Humanity —München
- Vollzeit
- Machine Learning
- Python
12 Tage
Applied AI Architect, Industries
Anthropic —München
- 190.000 € – 215.000 € pro Jahr
- Master
- Bachelor
- Künstliche Intelligenz
- Flexible Arbeitszeiten
Research Engineer (m/w/d)*
Güntner GmbH —Fürstenfeldbruck
- Vollzeit
- Englisch
- Microsoft Office
- Python
- Flexible Arbeitszeiten
Direkt bewerben
12 Tage
AI Deployment Engineer - Startups
OpenAI —München
- Vollzeit
- Künstliche Intelligenz
- Umzugskostenzuschuss
Full Stack AI Engineer
MLabs —München
- 140.000 € – 200.000 € pro Jahr
- Vollzeit
- Hybrides Arbeiten
- JavaScript
- APIs
- Künstliche Intelligenz
Direkt bewerben
23 Std.
Working Student ML Engineer
deeplify —München
- 28 € – 35 € pro Stunde
- Hybrides Arbeiten
- Machine Learning
Direkt bewerben
Data Leakage Prevention (DLP) Engineer (m/w/d)
Baader Bank Aktiengesellschaft —Unterschleißheim
- Online-Bewerbung
- Informatik
- Englisch
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
Legal Engineer, Law Firms
Legora —München
- Vollzeit
- Künstliche Intelligenz
9 Std.
Senior Research Engineer, OmniDreams and Alpasim
NVIDIA —München
- Vollzeit
- Machine Learning
- APIs
Reinforcement Learning Research Engineer – Exploration & Decision Intelligence (m/w/d)
autonomous-teaming —München
- Vollzeit
- Doktorat
- Master
- C++
Direkt bewerben
Machine Learning Engineer (all genders)
Avelios Medical GmbH —München
- Vollzeit
- Informatik
- Master
- Machine Learning
- Flexible Arbeitszeiten
Senior Software Engineer, Accessibility
Synthesia —München
- Ab 120.000 € pro Jahr
- Vollzeit
- Hybrides Arbeiten
- Master
- Künstliche Intelligenz
- Kommunikationsfähigkeit
4 Tage
Artificial Intelligence for Video Compression - Research Scientist
Qualcomm —München
- 158.400 € – 237.600 € pro Jahr
- Informatik
- Doktorat
- Informatik
Senior Research Engineer - Video Foundation Models (Pre - Training)
Synthesia —München
- Vollzeit
- Hybrides Arbeiten
- AWS
- Python
Systems Engineer (m/f/d)
Beckman Coulter Diagnostics —München
- Vollzeit
- Master
- Bachelor
- Elektrotechnik
Staff Hardware Security Engineer
Arm —München
- 78.500 € – 106.300 € pro Jahr
- Hybrides Arbeiten
- Forschungserfahrung
- Montage
AI Engineer
Hirefive ltd —München
- 50.000 € – 85.000 € pro Jahr
- Vollzeit
- Linux
- Künstliche Intelligenz
- Python
Direkt bewerben
Integration Engineer (f/m/x)
Marvel Fusion —München
- Schreibfähigkeiten
- Master
- Bachelor
9 Tage

Ich möchte aktuelle Job-E-Mails für Stellen als research engineer in münchen, by erhalten

Wenn Sie sich bei Ihrem Konto anmelden, stimmen Sie den Nutzungsbedingungen, den Richtlinien zur Verwendung von Cookies sowie der Datenschutzerklärung von SimplyHired zu.

Weitere Job-Standorte erkunden

research engineer jobs near münchen, by

Research Engineer - 3D World Models

SpAItial
München

Jetzt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

PyTorch
Forschungserfahrung
Master
Bachelor
Machine Learning
Deep learning
Python

Vollständige Stellenbeschreibung

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 bold, innovative individuals driven by a passion for pushing the boundaries of generative 3D AI. You should thrive in an environment where creativity meets technical challenge and be fearless in tackling the hardest problems in 3D world modeling. 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 building World Models that bridge generative AI and the physical world. 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.

We're seeking a Research Engineer to develop cutting-edge generative methods that create physically-grounded 3D environments. You will work on building, training, evaluating, and optimizing models that generate high-quality 3D content from images, video, and other inputs—with a focus on world-scale scenes that understand geometry, physics, and spatial consistency. This role is ideal for early-career engineers who have strong fundamentals in machine learning and 3D data processing, are passionate about generative models, and want to help define the next generation of World Model systems.

Responsibilities

Design and develop cutting-edge generative 3D machine learning methods for creating high-quality 3D content from images, video, and other inputs.
Build, train, optimize, evaluate models for 3D reconstruction, novel view synthesis, and world generation.
Implement and experiment with state-of-the-art 3D representations including point clouds, meshes, and 3D Gaussian Splatting.
Develop training pipelines and loss functions that improve geometry accuracy, visual fidelity, and consistency.
Collaborate with researchers to integrate physics-aware priors and world model capabilities into generative systems.
Analyze model performance, debug failure cases, and iterate rapidly to improve quality and robustness.

Key Qualifications

Bachelor's or Master's degree, or equivalent project/research experience, in computer science, machine learning, computer vision, graphics, robotics, or a related field.
Strong fundamentals in deep learning and generative models, in particular diffusion models and transformers.
Solid understanding of 3D processing concepts such as camera geometry, depth, reconstruction, point clouds, meshes, or Gaussian splats.
Proficiency in Python and deep learning frameworks such as PyTorch, with experience in model training and optimization.
Ability to implement research papers, run experiments, and iterate quickly on new ideas.
Strong coding skills and passion for building reliable, scalable ML systems.

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.

Jetzt bewerben

Erweiterte Suche

research engineer Jobs in münchen, by

Research Engineer - 3D World Models

Research Engineer - Graphics

Senior Machine Learning Engineer/ Research Scientist

Applied AI Architect, Industries

Research Engineer (m/w/d)*

AI Deployment Engineer - Startups

Full Stack AI Engineer

Working Student ML Engineer

Data Leakage Prevention (DLP) Engineer (m/w/d)

Legal Engineer, Law Firms

Senior Research Engineer, OmniDreams and Alpasim

Reinforcement Learning Research Engineer – Exploration & Decision Intelligence (m/w/d)

Machine Learning Engineer (all genders)

Senior Software Engineer, Accessibility

Artificial Intelligence for Video Compression - Research Scientist

Senior Research Engineer - Video Foundation Models (Pre - Training)

Systems Engineer (m/f/d)

Staff Hardware Security Engineer

AI Engineer

Integration Engineer (f/m/x)

Ich möchte aktuelle Job-E-Mails für Stellen als research engineer in münchen, by erhalten

Related Searches

Weitere Job-Standorte erkunden

Tools für Jobsuchende

Arbeitgebertools

Durchsuchen

Bleiben Sie in Kontakt