PhD AI Research Intern

• Collaborate cross-functionally with Research Scientists and Machine Learning Engineers to design, implement, and evaluate experiments that advance the performance, efficiency, and scalability of modern ML and LLM systems for our AI products
• Curate, preprocess, and manage large-scale datasets for training and evaluation, ensuring data quality, diversity, and reproducibility across experiments
• Conduct continued training, fine-tuning, and alignment of large language models for specialized applications such as conversational AI, summarization, generative search, and multimodal agents
• Evaluate cutting-edge ML algorithms through rigorous experimentation and provide detailed analyses highlighting performance insights, failure modes, and opportunities for improvement
• Contribute to publications and presentations at internal workshops or top-tier academic venues, helping to drive innovation in Enterprise AI and large-scale ML systems

• Completed Bachelors degree in Computer Science or a related field
• Currently pursuing a PhD in Computer Science or a related field at any stage of your doctoral studies
• Degree completion date cannot be earlier than September 2026 - June 2027
• Strong foundation in AI/ML, LLMs, modeling and/or optimization techniques
• Exhibit a solid grasp of algorithms and data structures
• Demonstrate proficiency in Python programming and ability to write clean, efficient, and well-documented code
• Experience working with large-scale datasets, including data preprocessing, augmentation, and scaling techniques
• Has expertise in managing data using Python libraries such as NumPy, Pandas, Matplotlib, in addition to leveraging models from Hugging Face and has practical knowledge of applied machine learning and deep learning frameworks, like PyTorch
• Demonstrated exposure to natural language processing (NLP) and Computer Vision (CV)
• Familiarity with state-of-the-art research in machine learning and AI, as evidenced by relevant coursework, publications, or projects
• Strong communication skills to articulate complex ideas and collaborate with multidisciplinary teams

Having publications in top-tier AI conferences or journals will be considered an asset or a plus

• health and wellbeing resources
• paid volunteer days