AI Researcher, 2027 Graduate U.S.
About The Position
Atlassian is hiring an AI Researcher for its 2027 Graduate program, part of the Grad++ program, which provides hands-on technical training, professional growth opportunities, dedicated mentorship, and social connections. The role is preferred to be co-located in Seattle, Washington, or San Francisco, California. Atlassian otherwise supports working from home, an office, or a combination, subject to locations where it has a legal entity. The researcher will join Atlassian’s Machine Learning Research team and work on advanced machine learning and artificial intelligence technologies, including large language models, generative AI, search, conversational agents, and AI optimization. The team develops AI solutions to address real-world problems and drive impact for enterprise customers. The role applies AI and machine learning to product problems, helps improve Atlassian products, and contributes to Atlassian Intelligence features. The position may also be eligible for benefits, bonuses, commissions, and equity. U.S. base salary ranges depend on geographic pay zone: Zone A, $178,200–$232,650; Zone B, $160,380–$209,385; and Zone C, $147,906–$193,100.
Requirements
- Bachelor's degree or above in Computer Science or a relevant technical field.
- Currently enrolled full time in a doctorate program in Computer Science, Statistics, Machine Learning, Operations Research, Data Science, Mathematics, or a related field, or have relevant work experience, and be graduating by August 2027.
- Strong foundation in AI/ML, large language models, optimization, and related techniques.
- Experience with research, publishing, and building and scaling machine learning models using large amounts of data.
- Agile development mindset and appreciation for constant iteration and improvement.
- Must be able to obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
Nice To Haves
- Proficiency in Python and ability to write clean, efficient, well-documented code.
- Experience managing data with Python libraries such as NumPy, Pandas, and Matplotlib.
- Experience leveraging models from Hugging Face and practical knowledge of applied machine learning and deep learning frameworks such as PyTorch.
- Exposure to natural language processing, computer vision, reinforcement learning, and AI optimization.
- Familiarity with state-of-the-art machine learning and AI research, demonstrated through coursework, publications, or projects.
- Publications in top-tier AI conferences or journals.
- Ability to solve ambiguous and complex problems, navigate uncertainty, break challenges into manageable components, and develop innovative solutions.
Responsibilities
- Design system and model architectures.
- Conduct rigorous experimentation and model evaluations.
- Apply AI and machine learning to product problems to improve Atlassian products.
- Contribute to Atlassian Intelligence features.
Benefits
- Health and wellbeing resources
- Paid volunteer days
- Benefits, bonuses, commissions, and equity may be available
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
