Machine Learning Intern

Job Posting Organization:
CERN, the European Organization for Nuclear Research, is a leading scientific research institution established in 195

• It is known for its groundbreaking work in particle physics and operates the largest particle physics laboratory in the world. CERN employs over 2,500 staff members and collaborates with thousands of scientists from more than 100 countries. The organization is dedicated to pushing the frontiers of science and technology, fostering innovation and collaboration among a diverse range of professionals including physicists, engineers, and administrative staff. Diversity is a core value at CERN, and it remains central to its mission and continued success.

Job Overview:
The Machine Learning Intern position at CERN focuses on the development and application of machine learning algorithms within the dynamic environment of the CMS Experiment's Trigger system. The intern will explore continual learning approaches to update trigger algorithms incrementally with new data, particularly decision tree-based algorithms. This role involves understanding the implementation of machine learning in changing environments, acquiring experience in fast machine learning techniques, and contributing to the design of trigger algorithms. The intern will also gain hands-on experience in Python programming and code development within larger teams, including machine learning operations (MLOps) and ML infrastructure. This position is ideal for students eager to develop their skills through practical training and teamwork in a collaborative setting.

Duties and Responsibilities:

• Develop a comprehensive understanding of implementing machine learning in dynamic environments, focusing on the impact on output quality and methods to mitigate these effects.
• Acquire experience in developing and applying machine learning techniques specifically for the CMS trigger system.
• Engage in the design and implementation of fast machine learning algorithms for trigger decision-making processes.
• Collaborate with team members to explore continual learning training techniques and their integration into the CMS trigger ML training infrastructure.
• Participate in team meetings and contribute to discussions on algorithm development and performance evaluation.
• Document findings and present results to the team and stakeholders.
• Maintain a proactive attitude towards learning and skill development throughout the internship.

Required Qualifications:
Candidates must be currently enrolled in a degree program in Applied Physics, Engineering Physics, or a related field. They should have completed at least 18 months of their studies (3 semesters) by the time of selection. The ideal candidate should demonstrate a good understanding of applied physics fundamentals relevant to their studies, possess curiosity and precision, and have a proactive attitude towards learning. Good communication skills and the ability to work effectively in a multicultural team are essential.

Educational Background:
The position requires candidates to be enrolled in a relevant degree program, specifically in Applied Physics, Engineering Physics, or a closely related field. Candidates must have completed a minimum of 18 months of their studies at the time of selection, ensuring they have a solid foundation in the principles of physics and engineering necessary for the role. PhD students or holders are not eligible for this internship.

Experience:
This internship is designed for students who are currently studying and do not require extensive prior experience. However, candidates should demonstrate a foundational understanding of machine learning concepts and programming, particularly in Python. Experience in collaborative projects or team settings is beneficial, as the role emphasizes teamwork and learning from others.

Languages:
A good knowledge of English or French is mandatory for this position, as effective communication within the multicultural team is crucial. Proficiency in additional languages may be considered an asset but is not required.

Additional Notes:
The internship is fully onsite at CERN in Geneva, with a contract duration ranging from 4 to 12 months. The ideal start date for the position is May 1, 202

• Interns will work 40 hours per week and receive a monthly allowance of 3452 Swiss Francs, which is tax-free. Additionally, interns are entitled to 30 days of paid leave per year plus 2 weeks of annual closure. Coverage by CERN’s comprehensive Health Insurance scheme is provided, with contributions automatically deducted from the allowance. A family supplement to the subsistence allowance may be available depending on individual circumstances, and travel expenses to Geneva upon joining CERN may also be covered.