ML & Data Science Engineering Intern

About the role

Join our AI Research team as an ML & Data Science Intern to work on cutting-edge machine learning projects and gain practical experience in AI development.

Responsibilities

• Assist in developing and training machine learning models
• Conduct data analysis and feature engineering
• Implement ML algorithms and experiment with new techniques
• Help with model evaluation and performance optimization
• Participate in research discussions and team meetings
• Document experiments and findings
• Contribute to ML pipeline development and automation

Qualifications

• Currently pursuing MS or PhD in Computer Science, Data Science, or related field
• Strong foundation in machine learning and statistics
• Experience with Python and ML libraries (PyTorch, TensorFlow, scikit-learn)
• Understanding of deep learning fundamentals
• Familiarity with data analysis tools (pandas, numpy)
• Strong mathematical and analytical skills
• Research projects or ML competitions experience is a plus
• Knowledge of NLP or computer vision is beneficial

Benefits

• Competitive internship stipend
• Mentorship from ML researchers and engineers
• Access to GPU resources and ML infrastructure
• Opportunity to work on real AI research problems
• Potential for research publications
• Flexible schedule for academic commitments
• Possible conversion to full-time role
• Conference and learning resources access