Atlassian is looking to integrate cutting-edge AI capabilities within its products to transform how teams interact with their tools and extract knowledge and insights from data to propel teamwork forward.
Requirements
- 8+ years of experience in machine learning, with a focus on large-scale model development and optimization.
- Deep expertise in LLM and transformer architectures (e.g., GPT, BERT, T5).
- Strong proficiency in Python and ML frameworks such as PyTorch, JAX, or TensorFlow.
- Experience with distributed training techniques and large-scale data processing pipelines.
- Proven track record of deploying machine learning models in production environments.
- Familiarity with model optimization techniques, including quantization, pruning, and knowledge distillation.
- Experience with LLMs and domain-specific fine-tuning.
Responsibilities
- Craft and implement innovative machine learning models in Atlassian tools.
- Dive deep into vast datasets to extract meaningful insights.
- Design, build, and refine models that can accurately perform tasks such as topic and entity extraction, search ranking, and retrieval augmented generation at scale.
- Join forces with product managers, designers, and developers.
- Be the voice of AI within the team.
- Educate and inspire your colleagues about the potential of AI, leading workshops and knowledge-sharing sessions.
- Steering the development and deployment of advanced machine learning algorithms and system architecture.
Other
- Ph.D. or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
- Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
- Excellent communication skills and ability to translate technical concepts for diverse audiences.
- Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space
- Contributions to open-source ML projects or publications in top-tier conferences.
