Senior Machine Learning Engineer

Senior Machine Learning Engineer

European Tech Recruit are working closely with a multinational semiconductor company, based in Amsterdam, who are looking for a talented Senior Machine Learning Engineer to join their cutting edge future research group .

As a Senior Machine Learning Engineer for their AI Research, you work directly with ML research teams to implement algorithms, conduct experiments, develop research-oriented software tools, as well as work together with both research and product teams to bring AI models to embedded devices.

Responsibilities as Senior Machine Learning Engineer :

• Rapid prototyping, large-scale experimentation and fast iteration, always emphasizing code quality, maintainability, and efficiency.
• Contribute to comprehensive system design and engineering efforts, facilitating the transition of research prototypes toward commercial deployment.

Requirements:

• PhD or M.S. in computer science, electrical engineering, robotics, or a related field, or a B.S. with several years of employment in related fields.
• Excellent Python programming skills demonstrated through relevant industry or academic experience.
• Proven experience with machine learning and frameworks such as PyTorch and hands-on experience with training deep neural networks, generating and evaluating experimental results, and improving training pipelines.
• Proven experience with embedded computing and/or the Android platform, and a solid understanding of C++.
• Background in software development, incl. testing, debugging, and test-driven development.
• Ability to work in a multi-site software organization.

Desirable Experience:

• Strong software design, development, and debugging skills combined with a solid foundation in AI and general ML techniques.
• Proven hands-on experience evaluating and optimizing Generative AI workflows for accuracy, performance, and other key metrics.
• Experience with optimization of algebraic operations in algorithms for HW cores.
• Prior experience with ML model optimization frameworks and a familiarity with applying techniques such as quantization, pruning, etc.
• Familiarity with containerization tools, test frameworks and static analysis tools and ability to work with continuous integration infrastructure.

If this role is of any interest please apply directly on LinkedIn or send a copy of your CV to nh@eu-recruit.com.

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