Machine Learning Engineer – English Speaking Research Lab

🏢 Robert Bosch GmbH📍 Ulm, Baden-Württemberg, Germany💼 Vollzeit💻 Vor Ort🏭 Automotive & Technology Research💰 60000-90000 pro Jahr

Über das Unternehmen

Robert Bosch GmbH is a leading global supplier of technology and services. Our operations are divided into four business sectors: Mobility Solutions, Industrial Technology, Consumer Goods, and Energy and Building Technology. As a multinational engineering and electronics company headquartered in Gerlingen, Germany, Bosch is at the forefront of innovation in areas such as artificial intelligence, IoT, and automated driving. Our research labs in Ulm are vibrant hubs for cutting-edge development, fostering an international and collaborative environment dedicated to solving complex challenges and shaping the future of technology.

Stellenbeschreibung

We are seeking a highly motivated and skilled Machine Learning Engineer to join our English-speaking research laboratory in Ulm. In this role, you will be instrumental in designing, developing, and deploying advanced machine learning models and algorithms for various critical applications. You will work within a dynamic team of researchers and engineers, contributing to groundbreaking projects that push the boundaries of AI in areas such as predictive analytics, computer vision, and natural language processing. This is an excellent opportunity to apply your expertise to real-world problems and significantly impact our innovative product development and research initiatives.

Hauptverantwortlichkeiten

  • Design, develop, and implement machine learning algorithms and models.
  • Collect, preprocess, and analyze large datasets to identify patterns and insights.
  • Evaluate and optimize model performance, ensuring robustness and scalability.
  • Collaborate with cross-functional teams to integrate ML solutions into existing systems.
  • Stay abreast of the latest advancements in machine learning and artificial intelligence.
  • Contribute to the scientific community through publications and presentations.
  • Participate in code reviews and maintain high standards of code quality and documentation.
  • Communicate complex technical concepts effectively to diverse audiences.

Erforderliche Fähigkeiten

  • Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Strong understanding of machine learning principles, algorithms, and statistical modeling.
  • Experience with data preprocessing, feature engineering, and model evaluation.
  • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) for ML deployment.
  • Excellent problem-solving skills and an analytical mindset.
  • Fluency in English, both written and verbal.

Bevorzugte Qualifikationen

  • Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
  • Experience with specific domains such as computer vision, NLP, or reinforcement learning.
  • Familiarity with MLOps practices and tools.
  • Knowledge of distributed computing frameworks (e.g., Apache Spark).
  • Experience working in an agile development environment.
  • Proficiency in German is a plus, but not required.

Vorteile & Zusatzleistungen

  • Competitive salary and performance-based bonuses.
  • Comprehensive health, dental, and vision insurance.
  • Generous paid time off and holidays.
  • Flexible working hours and work-life balance initiatives.
  • Opportunities for professional development and continuous learning.
  • Access to cutting-edge research and technology.
  • Collaborative and international work environment.
  • Pension scheme and employee assistance programs.

So bewerben Sie sich

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  • Einen aktuellen Lebenslauf
  • Ein kurzes Anschreiben, das Ihre Erfahrung und Motivation zusammenfasst

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