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Join our cutting-edge Machine Learning Research team at Atlassian as a PhD Research Intern, where you'll have the opportunity to work on advanced machine learning (ML) and artificial intelligence (AI) technologies, particularly focusing on areas such as Large language models (LLMs), Generative AI, Conversational Agents, and AI Optimization. You’ll be part of a team that pioneers innovations to address complex real-world problems, developing state-of-the-art AI solutions that will ultimately drive impact for Enterprises.
Job Responsibility:
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
Requirements:
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
Strong foundation in AI/ML, LLMs, modeling and/or optimization techniques
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