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About the Role
Join Atlassian's cutting-edge Machine Learning Research team as a PhD Research Intern. You will work on advanced ML and AI technologies, focusing on LLMs, Generative AI, Conversational Agents, and AI Optimization. This role offers hands-on experience in foundational research and practical applications, contributing to the training, evaluation, and optimized inferencing of AI models.
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.
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.
- Degree completion date cannot be earlier than September 2026 - June 2027.
- Strong foundation in AI/ML, LLMs, modeling and/or optimization techniques.
- Solid grasp of algorithms and data structures.
- 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.
- Expertise in managing data using Python libraries such as NumPy, Pandas, Matplotlib.
- Leverage models from Hugging Face.
- 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.
- Publications in top-tier AI conferences or journals will be considered an asset or a plus.
- Strong communication skills to articulate complex ideas and collaborate with multidisciplinary teams.
Skills
- Machine Learning (ML)
- Artificial Intelligence (AI)
- Large Language Models (LLMs)
- Generative AI
- Conversational Agents
- AI Optimization
- Python
- NumPy
- Pandas
- Matplotlib
- Hugging Face
- PyTorch
- Natural Language Processing (NLP)
- Computer Vision (CV)
Location
- Seattle (preferred)
- Pacific Standard Timezone (preferred)
Work Type
- Distributed-first
- Internship
Experience Level
- PhD Intern
Education Level
- Bachelors degree in Computer Science or related field
- Currently pursuing PhD in Computer Science or related field
Salary/Compensations
- Zone A: $59/hr - $76/hr
- Zone B: $54/hr - $69/hr
- Zone C: $49/hr - $63/hr
Benefits
- Health and wellbeing resources
- Paid volunteer days
About the Company
- At Atlassian, we're 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.
Equal Opportunity
- 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.
- We can support with accommodations or adjustments at any stage of the recruitment process.