Machine Learning (Advanced)

JOB AD:

As a Machine Learning Researcher / Engineer you will:

• Innovate & develop state-of-the-art solutions to industry relevant problems in the field of privacy preserving on-device machine learning
• Actively propose and prototype novel research ideas/solutions considering real-world constraints
• Work on complex systems and develop research ideas into production ready software
• Incorporate software engineering practices at both research and development stages
• Have technical responsibility for one or more significant sections of the assigned research project.
• Translate complex functional and technical requirements into detailed design

Required Skills

• PhD degree in Computer Science/Engineering, Electrical Engineering, Mathematics, Statistics, or related disciplines (an equivalent period of industrial experience may be substituted).
• Demonstrated excellent knowledge of fundamentals of machine learning and artificial intelligence: First author publications in top ML/AI conferences/journals (e.g., ICML, NeurIPS, ICLR, CVPR, SysML, IEEE TPAMI, IEEE IoT, IEEE TNNLS, JMLR or similar) on at least one of the following topics:
• Distributed learning and optimization.
• Recommendation systems.
• Graph neural networks.
• AI/ML Security and Privacy.

Demonstrated success:

• Professional software development experience with Python or C/C++ is required.
• Creating comprehensive and well-written documentation.
• Familiarity with software engineering practices and tools such as Git, CI, Agile, etc.
• Experience with programming using machine learning frameworks (e.g., Tensorflow/PyTorch).
• Excellent communication, teamwork and a results-oriented attitude.
• Proficiency in problem solving and debugging.

Desirable Skills

• A proven track record in AI model development and deployment (on embedded or distributed devices is a plus).
• Performing test-driven development.
• Contribution to open source software libraries.