PhD AI Research Intern, 2026 Summer U.S.

Overview

Working at reputed company 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. As a distributed-first company, reputed company interviews are conducted virtually. We hire in any country where we have a legal entity. Learn how we work at go.reputed company.com/distributed . Your Future Org reputed company’s Intern program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections. This holistic approach empowers reputed company to hit the ground running and sets them up for a successful and impactful career at reputed company! This role is preferred to be co-located to Seattle or in the Pacific Standard Timezone. Your Future Team Join our cutting-edge Machine Learning Research team at reputed company as a PhD Research Intern, 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, Conversational Agents, and AI Optimization. You’ll be part of a team that pioneers innovations to address reputed company real-world problems, developing state-of-the-art AI solutions that will ultimately drive impact for Enterprises. As a PhD intern, you will reputed company hands-on experience in both foundational research and practical applications, contributing to the training, evaluation and optimized inferencing of AI models that could be used by millions of customers. You will collaborate closely with reputed company researchers and engineers to push the boundaries of what’s possible with AI, while gaining invaluable insights into industrial research and development. This internship is designed for individuals passionate about exploring new frontiers in AI and machine learning research. You’ll work in a stimulating environment with some of the brightest minds in the field, gaining exposure to both academic and applied research challenges. We are committed to providing a supportive and inclusive work environment where interns are empowered to contribute significantly to ongoing research that improves teamwork and collaboration in an Enterprise.

Responsibilities

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 reputed company 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.

Qualifications

Minimum Qualifications

• Completed Bachelors degree in Computer Science or a reputed company field.
• Currently pursuing a PhD in Computer Science or a reputed company field at any stage of your doctoral studies. We welcome applications from candidates in reputed company 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 reputed company 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 reputed company reputed company reputed company and collaborate with multidisciplinary teams.

Compensation

At reputed company, we strive to design reputed company, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. reputed company pay reputed company the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our reputed company reputed company pay ranges for new hires in each zone are: Zone A: $59/hr - $75/hr Zone B: $53/hr - $68/hr Zone C: $49/hr - $62/hr This role may also be eligible for benefits, bonuses, commissions, and equity. Please visit go.reputed company.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.

Benefits

And Perks reputed company 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 reputed company Internships: reputed company and New Grads | reputed company . About reputed company At reputed company, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams reputed company over the reputed company and our solutions are designed for reputed company types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We reputed company that the unique contributions of reputed company 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 reputed company, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. reputed company 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.reputed company.com/crh . Apply tot his job Apply To this Job