20 beste Stellen als machine learning engineer in poing – aktuell auf Personalsuche

Relational Foundation Model Engineer, Modern Data Stack
NVIDIA —München
- Vollzeit
- Doktorat
- Informatik
- Master
Staff Data Scientist - Trading & Quant (d/f/m)
Flexa —München
- 115.000 € – 135.000 € pro Jahr
- Vollzeit
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Direkt bewerben
10 Tage
Data Science Intern (all genders)
SKD SE —München
- Teilzeit
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Machine Learning / Applied AI Engineer (m/w/d)
ECOZA GmbH —München
- Vollzeit
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- Master
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- Machine Learning
Direkt bewerben
Intern AI Solutions for Financial Services (f/m/x)
BMW —München
- Vollzeit
- Informatik
- Flexible Arbeitszeiten
SW Optimization Engineer AI/ML
Apple —München
- Doktorat
- Informatik
- Master
AI Process Intelligence Engineer (m/w/d)
E.ON Energie Deutschland GmbH —München
- Teilzeit
- Hybrides Arbeiten
- Machine Learning
- APIs
- Mitarbeiter-Rabatt
- Weiterbildungsprogramme
10 Tage
Applied Biometrics Software Engineer (m/w/d)
Maurer Electronics GmbH —München
- Vollzeit
- Informatik
- Datenanalyse
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11 Tage
AI Engineer
Hirefive ltd —München
- 50.000 € – 90.000 € pro Jahr
- Vollzeit
Direkt bewerben
Senior Agentic AI Engineer (f/m/x)
BMW —München
- Per E-Mail
- Doktorat
- Informatik
- Englisch
- Erfolgsbeteiligung
- Flexible Arbeitszeiten
Senior Data Scientist (m/w/d) - Chemical Engineering & Verfahrenstechnik
Alexander Thamm GmbH —München
- Vollzeit
- Azure
- Master
- AWS
- Weiterbildungsprogramme
Direkt bewerben
Praktikant Data and AI Engineering Supply Chain (w/m/x)
BMW —München
- Vollzeit
- Azure
- Informatik
- Datenanalyse
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- Flexible Arbeitszeiten
(Senior) Data Scientist (m/w/d)
OMMAX GmbH —München
- Englisch
- Master
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AI Process & Agent Solutions Engineer (m/w/d)
C-P-S Group —München
- Vollzeit
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- Englisch
- SQL
- Homeoffice-Möglichkeit
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Direkt bewerben
(Senior) AI Engineer / MLOps Engineer (m/f/d)
VESTIGAS GmbH —München
- Vollzeit
- Informatik
- Master
- Bachelor
Direkt bewerben
Senior Quantitative Developer - Energy Trading (d/f/m)
Flexa —München
- 95.000 € – 115.000 € pro Jahr
- Vollzeit
- Doktorat
Direkt bewerben
Senior ML Engineer – Workforce Intelligence (m/f/d)
SIXT Germany —München
- Vollzeit
- Hybrides Arbeiten
- Flexible Arbeitszeiten
Direkt bewerben
Lead Machine Learning Engineer - Geometric Spatial AI (F/M/D)
NavVis —München
- Doktorat
- Master
- Flexible Arbeitszeiten
- Empfehlungsprogramm
Direkt bewerben
Forward Deployed Engineer – Gen AI (m/w/d)
Devoteam G Cloud Germany —München
- Per E-Mail
- Hybrides Arbeiten
- Informatik
- Machine Learning
- APIs
Direkt bewerben
10 Tage
Teamlead AI Engineering - RoboGym (human)
Neura Robotics —München
- Vollzeit
- Informatik
- Elektrotechnik
- Führungserfahrung
Direkt bewerben

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machine learning engineer jobs near poing

Relational Foundation Model Engineer, Modern Data Stack

NVIDIA -
München

Jetzt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

Doktorat
Informatik
Master

Vollständige Stellenbeschreibung

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join us!

NVIDIA is redefining what’s possible with AI, and our Relational Foundation Model team is at the forefront of that mission. We’re building a single, unified foundation model that understands the structure and relationships within any relational database or heterogeneous graph — a fundamentally new approach to enterprise AI. As an engineer on this team, you won’t just be fine-tuning existing models; you’ll be designing and experimenting with novel Transformer and GNN architectures that generalize across diverse relational schemas. Your work will directly impact real-world applications spanning recommendation systems, demand forecasting, fraud detection, and predictive maintenance — all powered by one extensible model. You’ll collaborate closely with researchers and engineers across the full ML lifecycle, from architecture exploration and large-scale training to post-training optimization and inference acceleration. This is a rare opportunity to contribute to foundational research that ships into production and shapes the modern data stack. If you’re excited about graph learning, relational reasoning, and building AI systems that go far beyond single-table benchmarks, this is the team for you.

What you’ll be doing:

Collaborate with researchers/engineers to enhance our Transformer and GNN-based models to operate seamlessly over any relational schema and heterogeneous graph.
Gain hands-on experience with high-impact use cases such as forecasting, entity matching, customer retention and fraud detection – all built on top of a single, extensible foundation model.
Leverage your knowledge in ML and AI to tackle real challenges while contributing to scalable and adaptable solutions that push the boundaries of what’s possible.
Work may span the full lifecycle of modern ML systems: from architecture design/training to post-training optimization and inference acceleration.
You will contribute to our next generation of the Relational Foundation Model.

What we need to see:

MS or PhD in Machine Learning, Computer Science, or equivalent program
Proficiency in Python and deep learning frameworks, such as PyTorch
At least 8 years of research experience in designing ML algorithm solutions
Practical experience in using Predictive Models in Real World Applications

Ways to stand out from the crowd:

Familiarity with graph-based machine learning; publications at venues such as NeurIPS, ICLR, ICML, or similar

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

Jetzt bewerben

Erweiterte Suche

machine learning engineer Jobs in poing

Relational Foundation Model Engineer, Modern Data Stack

Staff Data Scientist - Trading & Quant (d/f/m)

Data Science Intern (all genders)

Machine Learning / Applied AI Engineer (m/w/d)

Intern AI Solutions for Financial Services (f/m/x)

SW Optimization Engineer AI/ML

AI Process Intelligence Engineer (m/w/d)

Applied Biometrics Software Engineer (m/w/d)

AI Engineer

Senior Agentic AI Engineer (f/m/x)

Senior Data Scientist (m/w/d) - Chemical Engineering & Verfahrenstechnik

Praktikant Data and AI Engineering Supply Chain (w/m/x)

(Senior) Data Scientist (m/w/d)

AI Process & Agent Solutions Engineer (m/w/d)

(Senior) AI Engineer / MLOps Engineer (m/f/d)

Senior Quantitative Developer - Energy Trading (d/f/m)

Senior ML Engineer – Workforce Intelligence (m/f/d)

Lead Machine Learning Engineer - Geometric Spatial AI (F/M/D)

Forward Deployed Engineer – Gen AI (m/w/d)

Teamlead AI Engineering - RoboGym (human)

Ich möchte aktuelle Job-E-Mails für Stellen als machine learning engineer in poing erhalten

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