AI Research Intern

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.

• 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.

Required Qualifications

• 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. We welcome applications from candidates in all years of their PhD program, including those in the early stages. Degree completion date cannot be earlier than September 2026 - June 2027.

• Strong foundation 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 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.

• 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 articulate complex ideas and collaborate with multidisciplinary teams.

Compensation

In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:

Zone A: $59/hr - $76/hr

Zone B: $54/hr - $69/hr

Zone C: $49/hr - $63/hr

Benefits and Perks
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit .

About Atlassian
At Atlassian, were motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyones perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

To learn more about our culture and hiring process, visit go.atlassian.com/crh.