Job
- Level
- Erfahren
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Befristetes Dienstverhältnis
- Ort
- Heidelberg
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In diesem Job entwickelst du KI-gestützte Systeme für die automatisierte Analyse komplexer Bilder, integrierst moderne Sprach- und Bildmodelle und unterstützt interdisziplinäre Forschungsteams bei der Nutzung fortschrittlicher AI-Technologien.
Job Technologien
Deine Rolle im Team
- We are seeking a highly motivated individual to join an interdisciplinary team at the interface of natural language processing, computer vision, machine learning, and scientific imaging.
- Your work will focus on bringing modern foundation model technologies into imaging workflows and developing AI systems that make advanced image analysis methods more accessible to researchers.
- Responsibilities include:
- Developing and evaluating AI systems based on Large Language Models (LLMs), Vision-Language Models (VLMs), and multimodal foundation models.
- Designing agentic workflows that automate complex image analysis tasks.
- Building systems that can autonomously select, configure, and execute image analysis tools and pipelines.
- Integrating state-of-the-art computer vision frameworks like foundation models into AI-assisted workflows.
- Collaborating with and supporting researchers across the Helmholtz Association to identify high-impact use cases and develop tailored solutions.
- Developing sustainable open-source software and reusable tools for the Helmholtz community.
- Staying at the forefront of developments in foundation models, agentic AI, and scientific machine learning.
Unsere Erwartungen an dich
Ausbildung
- A master's degree or PhD in computer science, data science, physics, mathematics, or a related discipline.
Qualifikationen
- We are looking for a highly motivated and creative researcher or engineer with a strong interest in both computer vision and modern AI systems.
- You should have:
- Familiarity with open-source software development and software engineering best practices.
- Excellent communication skills and enthusiasm for interdisciplinary collaboration.
Erfahrung
- Strong programming skills in Python and experience with modern machine learning frameworks such as PyTorch.
- Experience in computer vision and deep learning.
- Hands-on experience with Large Language Models (LLMs), Vision-Language Models (VLMs), multimodal foundation models, or agentic AI systems.
- Experience with model evaluation, benchmarking, and experimental design.
Unser Angebot
- Opportunity to work at the forefront of AI, foundation models, and scientific imaging.
- Close integration with HI and the Helmholtz Foundation Model Initiative.
- Collaboration with leading researchers across multiple scientific domains.
- Access to cutting-edge compute infrastructure and large-scale AI resources.
- Excellent framework conditions: state-of-the-art equipment and opportunities for international networking at the highest level.
- 30 days of vacation per year.
- Flexible working hours.
- Remuneration according to TV-L incl. occupational pension plan and capital-forming payments.
- Possibility of mobile work and part-time work.
- Family-friendly working environment.
- Sustainable travel to work: subsidized Germany job ticket.
- Unleash your full potential: targeted offers for your personal development to further develop your talents.
- Our Corporate Health Management Program offers a holistic approach to your well-being.
Benefits
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
German Cancer Research Center in the Helmholtz Association
An den DKTK-Standorten München, zu denen das Klinikum rechts der Isar (MRI) und das LMU Klinikum (KUM) gehören, haben Sie die Möglichkeit, an einem der führenden Standorte der onkologischen Forschung in Deutschland mitzuwirken.
Description
- Sprachen
- Englisch
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Gesundheitswesen, Soziales
Machine Learning Engineer - Language Models and Agentic AI
- Ort
- Heidelberg
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
