AI Researcher, 2027 Graduate U.S.

Atlassian • San Francisco, CA

14d • $147,906 - $232,650 • Hybrid

About The Position

Join Atlassian’s Machine Learning Research team to work on advanced machine learning and artificial intelligence, including large language models, generative AI, search, conversational agents, and AI optimization. The team develops state-of-the-art solutions to complex real-world problems and aims to create impact for enterprise customers.

The role involves designing system and model architectures, conducting experiments and model evaluations, and applying AI and machine learning to product challenges to improve Atlassian products and contribute to Atlassian Intelligence features. The role is preferred to be co-located in Seattle, Washington, or San Francisco, California. Atlassian’s Grad++ program offers hands-on technical training, professional growth opportunities, dedicated mentorship, and social connections. Atlassian supports working from home, a global office, or a combination, where team collaboration is effective, and hires in countries where it has a legal entity.

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 have relevant work experience, and 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, with 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; 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 relevant coursework, publications, or projects.
• Publications in top-tier AI conferences or journals are an asset or a plus.
• 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

• The role may be eligible for benefits, bonuses, commissions, and equity.
• Health and wellbeing resources.
• Paid volunteer days.
• Other perks and benefits are available; details are provided through Atlassian’s perks and benefits information.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern