AI Researcher, 2027 Graduate U.S.

Overview Working at Atlassian Atlassians have the flexibility to work where they can collaborate most effectively with their team, whether at home, one of our global offices, or both. We hire in any country where we have a legal entity. Learn how we work at [go.atlassian.com/distributed](#). Working at Atlassian Atlassian’s Grad++ program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections. This holistic approach empowers students to hit the ground running and sets them up for a successful and impactful career at Atlassian! This role is preferred to be co-located to Seattle, WA or San Francisco, CA. Your Future Team The mission of Atlassian is 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. AI/ML is significantly transforming how teams come together to plan, track, and deliver work across software and business teams using our products. We are looking for Machine learning engineers to further this mission and help make teams more productive leveraging AI across our product portfolio. About the role: Join our cutting-edge Machine Learning Research team at Atlassian where you'll have the opportunity to work on advanced Machine Learning (ML) and Artificial Intelligence (AI) technologies, particularly focusing on areas such as Large language models (LLMs), Generative AI, Search, Conversational Agents, and AI Optimization. You’ll be part of a team that pioneers innovations to address complex real-world problems, developing state-of-the-art AI solutions that will ultimately drive impact for Enterprises.

Responsibilities

Your daily responsibilities will encompass a broad spectrum of tasks such as designing system and model architectures, conducting rigorous experimentation and model evaluations. You will be responsible for application of AI/ML to various product problems to improve Atlassian products and actively contribute to Atlassian Intelligence features.

Compensation

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range. Please visit [go.atlassian.com/payzones](#) for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. This role may also be eligible for benefits, bonuses, commissions, and equity.

Pay Ranges

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 : $178,200 - $232,650 Zone B : $160,380 - $209,385 Zone C : $147,906 - $193,100

Qualifications

Required Qualifications

• 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 relevant work experience and are graduating by August 2027 .
• Strong foundation in AI/ML, LLMs, Optimization and related techniques.
• Experience with research, publishing, building and scaling machine learning models using large amounts of data.
• Agile development mindset, appreciating the benefit of 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.

Preferred Qualifications

• Demonstrates proficiency in Python programming and ability to write clean, efficient and well-documented code.
• 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.
• Demonstrates exposure to natural language processing (NLP), Computer Vision (CV), Reinforcement Learning (RL), and AI Optimization.
• 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.
• Excels in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions.

Benefits & 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 [ go.atlassian.com/perksandbenefits ](#). About Atlassian 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. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's 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 ](#). In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.