Collaborate with Research Scientists and Machine Learning Engineers to contribute to the design and execution of research experiments aimed at improving the performance, efficiency, and scalability of ML models.
Curate, preprocess, and manage large datasets for training and evaluation of machine learning models, including LLMs.
Execute continued training and alignment of LLMs for specific applications such as conversational AI, summarization and multi-modal agents.
Evaluate advanced ML algorithms, providing detailed reports on model performance, strengths, and areas of improvement.
Publish research in internal and external industry workshops and in top-tier academic journals or conferences to spearhead innovation in the field of Enterprise AI and ML.
Required Qualifications
Completed Bachelors degree in Computer Science or a related field.
Currently pursuing a PhD in Computer Science or a related field with an anticipated degree completion date between September 2025 - June 2026.
Strong foundation in AI/ML, LLMs, modeling and/or optimization techniques.
Desired Skills and Attributes
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 Hugging Face 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.
Strong communication skills to articulate complex ideas and collaborate with multidisciplinary teams.
Compensation
At Atlassian, we strive to design equitable, 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. Base pay within 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 current base pay ranges for new hires in each zone are:
Zone A: - $66/hr
Zone B: - $59/hr
Zone C: - $55/hr
This role may also be eligible for benefits, bonuses, commissions, and equity.
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.
Our perks & benefits
Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more.
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.
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