• Assist in inventing, designing, developing, and evaluating innovative models on large-scale data.
• Support the design and implementation of scalable, efficient, automated Machine Learning pipelines. 
• Contribute to innovation projects from idea to implementation under guidance. 
• Collaborate closely with software engineering teams and customers to understand project requirements. 
• Be eager to learn about cybersecurity data analytics and related tools. 
• Help communicate results through internal reports, blogs, and assist in preparing for scientific papers and conference presentations. 

• Currently pursuing a degree in Computer Science, Data Science, Machine learning, or a related field
• Proficient in English.

Preferred Requirements:

• Basic understanding or coursework in software engineering is a plus.
• Experience with coursework in one or more of the following Machine Learning fields: supervised, semi-supervised, or unsupervised learning, explainability of models, advanced statistics, graph theory, game theory.
• Strong logical reasoning and problem-solving skills.
• Enthusiasm for completing tasks and making projects successful.
• Hands on experience with scikit-learn, Pandas, PyTorch, (py)Spark will boost the start.