Machine Learning Engineer - Embedded Systems

Bang & Olufsen

Lyngby, Denmark

You’ll work on developing and optimizing machine learning models tailored for our embedded systems, ensuring seamless integration and unmatched performance.

Key responsibilities

Develop and optimize machine learning and deep learning models for embedded platforms.
Maintain and enhance the technical understanding of tools, libraries, and OS principles for our systems.
Collaborate with cross-functional teams to ensure alignment and address technical challenges.
Stay informed about emerging trends and best practices in AI/ML and data engineering.
Propose and evaluate AI/ML technologies to achieve specific goals.
Document processes, adaptations, and integration strategies comprehensively.
Participate in technical strategy discussions and contribute to long-term AI strategies.

What you bring

You are a passionate and skilled ML engineer with a strong technical foundation. You thrive in collaborative environments and are eager to push the boundaries of AI/ML in embedded systems.

Moreover, you bring:

Advanced degree (MS/PhD) in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or a related field.
Proficiency in Python, C, C++ and CI/CD principles.
Experience with development and debugging tools for embedded applications.
Familiarity with AI/ML Infrastructure, model deployment, MLOps, and TinyML principles.
Knowledge of both classical and modern AI/ML methods.
Good interpersonal and communication skills, with fluency in written and spoken English.

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