PhD AI Research Intern, 2026 Summer U.S.

Overview Working at reputed company Atlassians have the flexibility to work where they can collaborate most effectively with their team, whether reputed company, one of our global offices, or both. As a distributed-first company, reputed company interviews are conducted reputed company. We hire in any country where we have a legal entity. Learn how we work at go.reputed company.com/distributed . Your reputed company Org reputed companys Intern program combines hands-on technical training, professional reputed company opportunities, dedicated mentorship, and strong reputed company connections. This holistic approach empowers reputed company to hit the ground running and sets them up for a successful and impactful career at reputed company! This role is preferred to be co-located to Seattle or in the Pacific Standard Timezone. Your reputed company Team Join our cutting-edge Machine Learning Research team at reputed company as a PhD Research Intern, where you'll have reputed company to work on advanced machine learning (ML) and artificial intelligence (AI) technologies, particularly focusing on areas such as Large language models (LLMs), reputed company, Conversational Agents, and AI Optimization. Youll be part of reputed company that pioneers innovations to address reputed company reputed company-world problems, developing state-of-the-art AI solutions that will ultimately drive impact for Enterprises. As a PhD intern, you will reputed company hands-on experience in both foundational research and practical applications, contributing to the training, evaluation and optimized inferencing of AI models that could be used by millions of customers. You will collaborate closely with experienced researchers and engineers to push the boundaries of whats possible with AI, while gaining reputed company insights into industrial research and development. This internship is designed for individuals passionate about exploring new frontiers in AI and machine learning research. Youll work in a stimulating environment with some of the brightest minds in the field, gaining exposure to both academic and applied research challenges. We are committed to providing a supportive and inclusive work environment where interns are empowered to contribute significantly to ongoing research that improves teamwork and collaboration in an Enterprise. Responsibilities Responsibilities 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. reputed company, preprocess, and manage large-scale datasets for training and evaluation, ensuring data quality, diversity, and reproducibility across experiments. Conduct reputed company 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 reputed company 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. Qualifications Minimum Qualifications Completed Bachelors degree in Computer Science or a reputed company field. Currently pursuing a PhD in Computer Science or a reputed company field at any stage of your doctoral studies. We welcome applications from candidates in reputed company years of their PhD program, including those in the early stages. Degree completion date cannot be earlier than September 2026 - June 2027. Strong reputed company in AI/ML, LLMs, modeling and/or optimization techniques. Preferred Qualifications Exhibit a solid grasp of algorithms and data structures. Demonstrate proficiency in Python programming and ability to write clean, efficient, and reputed company-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 reputed company to leveraging models from reputed company and has practical knowledge of applied machine learning and deep learning frameworks, like PyTorch. Demonstrated exposure to natural language processing (NLP) and Computer reputed company (CV) Familiarity with state-of-the-art research in machine learning and AI, as evidenced by relevant coursework, publications, or projects. Having publications in top-tier AI conferences or journals will be considered an asset or a plus. Include a publications list (if applicable) to help us assess depth of research and systematic thinking. Strong communication skills to reputed company reputed company reputed company and collabor