AI Research Intern (PhD), 2027 Summer U.S.
About The Position
Atlassian is hiring a PhD Research Intern for its Machine Learning Research team. The intern will work on advanced machine learning and artificial intelligence, particularly large language models, generative AI, conversational agents, and AI optimization. The role combines foundational research with practical applications, including training, evaluating, and optimizing inference for AI models intended for use by Atlassian customers. The intern will collaborate with experienced researchers and engineers on industrial research and development focused on improving teamwork and collaboration in enterprise settings. The paid internship typically runs for 12 weeks between May/June and August/September 2027. The role is preferred to be co-located in Seattle or in the Pacific Standard Timezone. Atlassian operates as a distributed-first company, with flexibility to work at home, in a global office, or both; interviews are conducted virtually. The internship program includes technical training, professional growth opportunities, dedicated mentorship, and social connections.
Requirements
- Completed a bachelor's degree in Computer Science or a related field.
- Currently pursuing a PhD in Computer Science or a related field; candidates at any stage of their doctoral studies are welcome.
- Degree completion date cannot be earlier than September 2026 or later than June 2027.
- Strong foundation in AI/ML, LLMs, modeling, and/or optimization techniques.
Nice To Haves
- Solid grasp of algorithms and data structures.
- Proficiency in Python and ability to write clean, efficient, well-documented code.
- Experience with large-scale datasets, including preprocessing, augmentation, and scaling techniques.
- Experience managing data with Python libraries such as NumPy, Pandas, and Matplotlib; leveraging models from Hugging Face; and practical knowledge of applied machine learning and deep learning frameworks such as PyTorch.
- Exposure to natural language processing and computer vision.
- Familiarity with state-of-the-art machine learning and AI research, demonstrated through relevant coursework, publications, or projects.
- Publications in top-tier AI conferences or journals; applicants may include a publications list if applicable.
- Strong communication skills and ability to articulate complex ideas and collaborate with multidisciplinary teams.
Responsibilities
- Collaborate 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 AI products.
- Curate, preprocess, and manage large-scale training and evaluation datasets, ensuring quality, diversity, and reproducibility.
- Conduct continued training, fine-tuning, and alignment of large language models for applications such as conversational AI, summarization, generative search, and multimodal agents.
- Evaluate cutting-edge ML algorithms through rigorous experimentation and analyze performance, failure modes, and opportunities for improvement.
- Contribute to publications and presentations at internal workshops or top-tier academic venues.
Benefits
- Paid internship program, typically 12 weeks.
- Health and wellbeing resources.
- Paid volunteer days.
- Technical training, professional growth opportunities, dedicated mentorship, and social connections.
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What This Job Offers
Career Level
Intern
