Machine Learning Engineer – English Speaking Research Lab

Über das Unternehmen

Siemens Healthineers pioneers breakthroughs in healthcare. With a commitment to innovation, we empower healthcare professionals to deliver high-quality patient care. Our global team is dedicated to developing cutting-edge medical technologies and services, from diagnostic imaging to advanced therapy, and increasingly, leveraging AI to transform clinical practice and research. Join a culture of collaboration, excellence, and profound impact.

Stellenbeschreibung

We are seeking a highly motivated and skilled Machine Learning Engineer to join our innovative English-speaking research lab in Rheine. In this role, you will be at the forefront of developing and deploying advanced machine learning models for groundbreaking applications in healthcare technology. You will work closely with a multidisciplinary team of researchers, data scientists, and clinical experts to translate complex data into actionable insights and robust solutions that improve patient outcomes and revolutionize diagnostics and treatment. This is an exciting opportunity to contribute to projects with real-world impact in a dynamic, research-focused environment.

Hauptverantwortlichkeiten

• Design, develop, and implement machine learning algorithms and models, from concept to production, in an English-speaking research setting.
• Conduct extensive data preprocessing, feature engineering, and model evaluation to ensure robust and scalable solutions.
• Collaborate with researchers and domain experts to understand requirements, define project scope, and integrate ML solutions into larger systems.
• Perform rigorous experimentation, analyze results, and iteratively refine models for optimal performance and clinical relevance.
• Stay abreast of the latest advancements in machine learning, deep learning, and artificial intelligence, applying cutting-edge techniques where appropriate.
• Contribute to the documentation of research findings, methodologies, and codebases.
• Participate in code reviews, foster best practices, and ensure the maintainability and scalability of ML pipelines.
• Communicate complex technical concepts effectively to both technical and non-technical stakeholders in English.

Erforderliche Fähigkeiten

• Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong understanding of machine learning principles, algorithms (e.g., supervised, unsupervised, reinforcement learning), and statistical modeling.
• Experience with data preprocessing, feature engineering, and model evaluation techniques.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps principles.
• Solid programming skills and experience with version control systems (e.g., Git).
• Excellent problem-solving abilities and analytical skills.
• Fluent English communication skills, both written and verbal.

Bevorzugte Qualifikationen

• Master's or Ph.D. in Computer Science, Machine Learning, Data Science, or a related quantitative field.
• Experience with medical imaging (e.g., MRI, CT, X-ray) or other healthcare data.
• Knowledge of deep learning architectures (e.g., CNNs, RNNs, Transformers).
• Experience in a research and development environment.
• Publications in relevant ML/AI conferences or journals.
• Understanding of ethical considerations and regulatory aspects in AI for healthcare.

Vorteile & Zusatzleistungen

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and flexible working arrangements.
• Company-sponsored pension plan.
• Opportunities for continuous learning and professional development (conferences, training, certifications).
• Access to cutting-edge tools and technologies.
• Collaborative and international work environment.
• Employee assistance programs.
• On-site facilities (e.g., cafeteria, fitness).

Jetzt bewerben