20 beste Stellen als machine learning on edge in münchen – aktuell auf Personalsuche

Machine Learning Engineer (all genders)
Avelios Medical —München
- Vollzeit
- Informatik
- Flexible Arbeitszeiten
Machine Learning Engineer (all genders)
Avelios Medical GmbH —München
- Vollzeit
- Informatik
- Flexible Arbeitszeiten
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Terra Quantum —München
- Informatik
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Mistral AI —München
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- Master
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BMW —München
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Machine Learning Scientist
Nucs AI —München
- Vollzeit
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Working Student - Post-Training for Robot Learning
Animore —München
- Informatik
- Master
Direkt bewerben
Working Student Machine Learning (all genders)
Avelios Medical GmbH —München
- Teilzeit
- Flexible Arbeitszeiten
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Apple —München
- Doktorat
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Tools for Humanity —München
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Intern Machine Learning (all genders)
Avelios Medical GmbH —München
- Vollzeit
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Calibration Engineer (m/w/d)
autonomous-teaming —München
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Working Student Machine Learning (all genders)
Avelios Medical —München
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Intern Machine Learning (all genders)
Avelios Medical —München
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Head of Operations (f/m/d)
QuantumDiamonds GmbH —München
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Staff Engineer AMS Implementation (f/m/div)
Infineon Technologies AG —München
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IT Systems Administrator / IT Operations Engineer (m/f/d)
autonomous-teaming —München
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Direkt bewerben
Lead Machine Learning Engineer - Geometric Spatial AI (F/M/D)
NavVis —München
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Intern Artificial Intelligence (m/f/d)*
Munich Re —München
- Vollzeit
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Hidden Gem (f/m/d)
QuantumDiamonds GmbH —München
- Vollzeit
Direkt bewerben

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Machine Learning Engineer (all genders)

Avelios Medical
München

Jetzt bewerben

Details zur Stelle

Vollzeit

Leistungen

Firmenfahrrad-Leasing
Flexible Arbeitszeiten
Kostenfreies oder vergünstigtes Deutschland-Ticket

Qualifikationen

Informatik

Vollständige Stellenbeschreibung

ABOUT US

Our mission at Avelios is to unlock clinical data to power seamless healthcare operations for better patient care. To do so, we have built a modular software platform that digitizes and optimizes workflows in hospitals with cutting-edge technology in a user-friendly way. With our software, we enable hospitals, doctors & nurses to provide their patients with the best possible care.
We are growing fast and want to keep expanding our team and business to fundamentally digitize healthcare for the better. We appreciate different backgrounds and see diversity as one of our strengths.

THE TEAM AND ROLE

As a Machine Learning Engineer (all genders), you will drive the integration of intelligent systems into real-world clinical environments. Collaborating with our interdisciplinary development teams, your role will focus on bringing state-of-the-art models (LLMs, ASR, and more), into production and embedding them directly into Avelios software to improve everyday medical workflows. This is a unique opportunity to shape how AI transforms the way clinicians work.

YOUR RESPONSIBILITIES

Collaborate with our core development team to bring machine learning into production
Design and train ML models on large-scale clinical datasets
Integrate AI-powered solutions (LLMs, ASR, RAG, Embedding, and more in the future) into real medical workflows
Evaluate, benchmark, and fine-tune existing models to fit clinical use cases
Work with Federated Machine Learning frameworks for privacy-preserving model training
Collaborate with leading academic and research institutions
Own the reliability, performance, and quality of AI features in production
Leverage access to high-performance computing infrastructure to build robust ML pipelines

YOUR QUALIFICATIONS

Degree in Informatics, Computer Science, or a related field - or equivalent practical experience
Strong coding background - GitHub contributions are a plus
Hands-on experience deploying ML systems to production using PyTorch, LangChain, and Pydantic, including LLMs, ASR models, and RAG pipelines with vector databases (e.g., Qdrant).
Publications at top conferences or demonstrated cutting-edge results in applied ML (e.g., Speech Recognition or NLP) is a plus
Interest in new technologies and their application to real-world challenges
Fluency in English, German is a plus

YOUR BENEFITS

Variety in your tasks and the opportunity to take ownership
An international, informal team structure in a motivating start-up atmosphere, allowing you to participate directly in our customer growth story and the overall success of Avelios
Ability to gain valuable hands-on experience in a startup backed by leading international VCs
Support for your personal development through continuous learning and feedback
Set your own rhythm with flexible working hours and trust-based time tracking
A virtual stock option package (VSOP) that lets you participate in Avelios’ long-term value creation
A monthly meal allowance up to 75 euros, full coverage of the Deutschlandticket, Urban Sports Club or a subsidized Wellpass membership, a bike leasing program and Corporate Benefits that give you access to discounts from a wide range of providers in various areas

Jetzt bewerben

Erweiterte Suche

machine learning on edge Jobs in münchen

Machine Learning Engineer (all genders)

Machine Learning Engineer (all genders)

Researcher - Quantum Machine Learning & Quantum Information

Applied AI, Forward Deployed Machine Learning Engineer

Intern Machine Learning Engineering for Supply Chain (f/m/x)

Machine Learning Scientist

Working Student - Post-Training for Robot Learning

Working Student Machine Learning (all genders)

Machine Learning Compiler Engineer (m/f/d)

Senior Machine Learning Engineer

Intern Machine Learning (all genders)

Calibration Engineer (m/w/d)

Working Student Machine Learning (all genders)

Intern Machine Learning (all genders)

Head of Operations (f/m/d)

Staff Engineer AMS Implementation (f/m/div)

IT Systems Administrator / IT Operations Engineer (m/f/d)

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

Intern Artificial Intelligence (m/f/d)*

Hidden Gem (f/m/d)

Ich möchte aktuelle Job-E-Mails für Stellen als machine learning on edge in münchen erhalten

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