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Tier-1 brand, metro location, and broad ML intern appeal create high candidate competition.
Specialized ML, NLP, CV and research experience requirements make cross-industry fit limited and sensitive.
Graduation-year, degree requirements and specific ML programming and research skills create strict filters.
Analyze and process large-scale data (millions of samples) for machine learning applications such as hate speech and misinformation detection.
Develop and write production-quality code impacting LinkedIn's AI/ML systems for content safety and trustworthiness.
Collaborate on challenges involving NLP, computer vision, data mining, and recommendation/search relevance solutions.
Currently pursuing B.E./B.Tech/IDD Dual Degree/M.Tech/MSc in Computer Science, Statistics, Mathematics, Electrical Engineering, or Machine Learning; expected graduation in 2028.
Experience with at least one programming language: Python, Java, or C/C++.
Work Location: On-site full-time at LinkedIn office due to business needs.
Work Experience Required: Not explicitly mentioned in the JD.
Hands-on experience or knowledge in Natural Language Processing, Computer Vision, Information Retrieval, Recommender Systems, Machine Learning, Deep Learning, Advanced Statistics, or Optimization.
Familiarity with Deep Learning frameworks (e.g., TensorFlow) and Big Data processing tools like Spark or Scala is advantageous.
Demonstrated ability to design and execute research agendas, preferably with contributions to research communities or open-source projects.