Senior Machine Learning Engineer

A Global semiconductor giant based in Amsterdam are seeking to bolster their team with a talented Senior Machine Learning Engineer.

Please note this opportunity is based on-site in Amsterdam and requires rights to work in the Netherlands in place before starting.

Responsibilities:

• Collaborate closely with machine learning research teams to implement novel algorithms, run experiments, and build research-focused software tools.
• Partner with both research and product stakeholders to transition AI models from prototype to deployment on embedded devices.
• Drive rapid prototyping, large-scale experimentation, and fast iteration while maintaining high standards for code quality, efficiency, and maintainability.
• Contribute to system-level design and engineering efforts that enable research innovations to scale into production-ready solutions.
• Support the end-to-end lifecycle of ML research, from exploratory development through optimisation and commercialisation.

Requirements:

• Strong proficiency in Python, with hands-on experience using PyTorch for training, evaluating, and iterating on deep learning models.
• Solid understanding of machine learning workflows, including experimentation, metrics evaluation, and training pipeline optimization.
• Experience with model optimisation techniques such as quantisation, and familiarity with performance–accuracy trade-offs.
• Working knowledge of C++ and exposure to Android development and/or embedded computing platforms.
• Background in software engineering best practices, including testing, debugging, and collaborative development in distributed or multi-site teams.

If this role is of interest please apply directly on LinkedIn or send a copy of your CV to [email protected].

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