Unlock the Power of Artificial Intelligence
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At Atlassian, we are committed to harnessing the potential of artificial intelligence (AI) and machine learning (ML) to revolutionize the way teams collaborate and work. We believe that by leveraging cutting-edge technologies like large language models (LLMs), generative AI, and multi-modal agents, we can create innovative solutions that drive real impact.
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Role Overview:
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We are seeking a highly motivated and talented PhD graduate in Computer Science or a related field to join our Machine Learning team. As a member of this team, you will have the opportunity to work on advanced AI and ML projects, collaborating with experienced researchers and engineers to push the boundaries of what is possible with AI.
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Key Responsibilities:
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* Collaborate with research scientists and ML engineers to design and execute research experiments aimed at improving the performance, efficiency, and scalability of ML models.
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* Curate, preprocess, and manage large datasets for training and evaluation of machine learning models, including LLMs.
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* Execute continued training, alignment, or fine-tuning of LLMs for specific applications such as generative AI features, summarization, and multi-modal agents.
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* Evaluate advanced ML algorithms, providing detailed reports on model performance, strengths, and areas of improvement.
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* Publish research in internal and external industry workshops and top-tier academic journals or conferences to spearhead innovation in the field of Enterprise AI and ML.
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Requirements:
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To be successful in this role, you will need:
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* Currently pursuing a PhD in Computer Science or a related field.
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* Anticipated degree completion between November 2024 and November 2025.
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* Strong foundation in AI/ML, LLMs, modeling, and/or optimization techniques.
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* Solid grasp of algorithms and data structures.
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* Proficiency in Python programming and ability to write clean, efficient, and well-documented code.
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* Experience working with large-scale datasets, including data preprocessing, augmentation, and scaling techniques.
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* Expertise in managing data using Python libraries such as NumPy, Pandas, Matplotlib, in addition to leveraging models from Hugging Face and practical knowledge of applied machine learning and deep learning frameworks like PyTorch.
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* Exposed to natural language processing (NLP) and computer vision (CV).
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* Familiarity with state-of-the-art research in machine learning and AI, as evidenced by relevant coursework, publications, or projects.
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* Strong communication skills to articulate complex ideas and collaborate with multidisciplinary teams.
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Benefits:
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As an Atlassian employee, you will enjoy a range of benefits designed to support your well-being and career growth, including health and wellbeing resources, paid volunteer days, and more.
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About Us:
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At Atlassian, we believe that every team has the potential to unleash greatness. Our software products help teams all over the world, and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
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Diversity and Inclusion:
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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.