Senior Machine Learning Engineer, Search & Intelligence

About the Position

Atlassian is looking for a Senior Machine Learning Engineer to join our Search & Intelligence organization. Our team builds the intelligent experiences, agentic systems, models, evaluation frameworks, and data pipelines that power Atlassian’s AI products and accelerate AI innovation across the company.

Responsibilities

As a Senior Machine Learning Engineer, you will:

• Lead the development and productionization of advanced machine learning systems.
• Work across the full machine learning lifecycle, from problem definition and data exploration to model development, experimentation, evaluation, deployment, and ongoing optimization.
• Partner with product managers, software engineers, data scientists, and other technical stakeholders to translate product challenges into scalable AI solutions.
• Contribute to architectural decisions, raise engineering and scientific standards, and mentor other machine learning engineers.
• Develop state-of-the-art machine learning algorithms and models for production environments.
• Design robust system and model architectures.
• Build and improve machine learning solutions across various AI capabilities.
• Design and execute rigorous experiments and evaluations to measure model quality and product impact.
• Collaborate with cross-functional teams to integrate AI capabilities into Atlassian products and services.
• Communicate technical decisions, trade-offs, results, and recommendations clearly.
• Mentor and support machine learning engineers and contribute to technical strategy.

Requirements

• A Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related field, or equivalent practical experience.
• At least 5 years of professional experience developing and deploying machine learning or data science solutions in production.
• Strong programming skills in Python and one or more production languages such as Java, Kotlin, or TypeScript.
• Strong knowledge of SQL and experience working with large-scale data processing technologies such as Spark.
• Experience designing, training, evaluating, deploying, and scaling machine learning models using large and complex datasets.
• Experience building performant, reliable, and maintainable production-quality software.
• Familiarity with cloud-based data and machine learning environments, such as AWS, Databricks, or comparable platforms.
• Experience designing evaluation strategies and using metrics, experimentation, and error analysis to guide model and product improvements.
• Experience collaborating effectively across product, engineering, analytics, and data science teams.
• An ability to independently navigate ambiguous and complex problems, break them into manageable components, and deliver practical solutions.
• Strong written and verbal communication skills, with the ability to explain complex technical concepts clearly.
• An agile development mindset and an appreciation for rapid iteration, continuous improvement, and learning from results.

Nice to Have

• End-to-end experience integrating machine learning or AI capabilities into customer-facing products.
• Experience building search, recommendation, ranking, personalization, or natural language processing systems.
• Experience developing deep learning models and applying large language models to production use cases.
• Experience with agentic systems, tool-using models, or multi-step reasoning and planning systems.
• Experience fine-tuning, evaluating, monitoring, and optimizing large language models.
• Experience working in a consumer or B2C environment, a SaaS product organization, or an enterprise B2B environment.
• Experience with ML platforms, model serving, feature stores, data pipelines, observability, or responsible AI practices.
• A track record of technical leadership, influencing architecture and strategy beyond your immediate team, and mentoring other engineers.
• Experience balancing long-term technical investments with pragmatic delivery in an evolving product environment.

We Offer

• Competitive salary ranging from $171,063 - $269,075 per year, depending on the geographic pay zone.
• A wide range of perks and benefits designed to support you, your family, and to help you engage with your local community.
• Flexible work arrangements, allowing you to choose where you work – whether in an office, from home, or a combination of the two.
• Opportunities for professional development and career growth.

About the Company

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.