[Hiring] Senior Machine Learning Engineer @Atlassian

Role Description

Atlassian is looking for a Senior Machine Learning Engineer to join our Search & Intelligence organization. We build AI-native experiences, agentic systems, models, evaluation frameworks, and data platforms that power Atlassian’s AI products.

Your role and impact:

• Develop and productionize machine learning systems for search, retrieval, ranking, conversational experiences, and AI agents.
• Own projects across the ML lifecycle, from problem definition and data development through experimentation, evaluation, deployment, and continuous improvement.
• Make evaluation a first-class part of AI development by defining quality, building evaluation datasets and benchmarks, analyzing model behavior, and using results to guide product and engineering decisions.
• Collaborate with product managers, software engineers, data scientists, research scientists, and platform teams.
• Independently solve complex problems, contribute to technical direction, and mentor other engineers.

What you’ll do:

• Build and productionize machine learning models and AI systems for Search & Intelligence products.
• Own projects from concept through deployment, monitoring, evaluation, and iteration.
• Develop AI-native experiences across search, retrieval, ranking, recommendations, conversational systems, and agentic workflows.
• Design evaluation-driven development processes, including quality metrics, test cases, benchmarks, and acceptance criteria.
• Build evaluation datasets, regression suites, and pipelines for search, RAG, chat, and agentic systems.
• Conduct offline and online evaluations, human assessments, model-based evaluations, and error analysis.
• Design scalable architectures that meet requirements for quality, reliability, latency, privacy, and cost.
• Apply modern techniques in information retrieval, ranking, embeddings, NLP, deep learning, and large language models.
• Communicate technical decisions and results clearly across technical and non-technical audiences.
• Mentor engineers and contribute to engineering and ML best practices.

Qualifications

• A Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field, or equivalent experience.
• At least 4 years of experience developing and deploying machine learning or AI systems in production.
• Strong Python skills and experience with Java, Kotlin, TypeScript, or another production language.
• Experience with SQL and large-scale data processing technologies such as Spark.
• Experience building, evaluating, deploying, and scaling models with large datasets.
• Experience designing evaluation strategies, analyzing model quality, and using results to guide improvements.
• Familiarity with cloud-based ML and data platforms such as AWS or Databricks.
• Ability to independently solve ambiguous problems and deliver practical, production-quality solutions.
• Strong communication and collaboration skills.
• An agile mindset and commitment to continuous improvement.

• Experience building AI-native products, RAG systems, conversational assistants, or tool-using agents.
• Experience with evaluation-driven development, benchmarks, regression testing, human evaluation, or LLM-as-a-judge.
• Experience evaluating agent planning, tool use, task completion, or multi-step reasoning.
• Experience with search relevance, ranking, recommendations, personalization, embeddings, or NLP.
• Experience fine-tuning, post-training, evaluating, or optimizing large language models.
• Experience with ML platforms, model serving, data pipelines, observability, or responsible AI.
• Experience mentoring engineers or influencing technical direction within a team.

Benefits

• A wide range of perks and benefits designed to support you and your family.
• Health and wellbeing resources.
• Paid volunteer days.
• For more information, visit go.atlassian.com/perksandbenefits .