Senior Machine Learning Engineer

Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Core Responsibilities

- As a Senior Machine Learning Engineer, you will design, build, and deploy scalable ML solutions that address core business and product challenges across multiple domains. You’ll own projects end-to-end, from data exploration and feature engineering through training, evaluation, deployment, and monitoring in production. A key part of the role is ensuring deployed models perform reliably, with continuous monitoring, troubleshooting, and improvements.

Collaboration and Leadership

- You’ll collaborate closely with product managers, data scientists, engineers, and stakeholders to identify opportunities for AI/ML impact and deliver high-quality solutions.

- Beyond individual contributions, you’ll provide technical leadership by mentoring junior engineers, reviewing code, and driving best practices in reproducibility, testing, and documentation.

Innovation and Enablement

- The role also emphasizes innovation and enablement. You’ll stay current with research and advancements in AI/ML, introducing new techniques and tools where valuable.

- You’ll also develop reusable frameworks, components, and guidelines to help teams across the organization adopt ML effectively.

- Strong communication is essential—both in documenting methodologies and results and in explaining technical concepts to diverse audiences.

On the first day, we’ll expect you to have

- Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience)

- 3+ years of related industry experience in the data science domain

- Expertise in Python or Java with the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)

- Experience building and scaling machine learning models in business applications using large amounts of data

- Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story

- Focus on business practicality and the 80/20 rule; very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future"

- Agile development mindset, appreciating the benefit of constant iteration and improvement

It’s great, but not required, if you have

- Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space

- Experience in developing deep learning-based models and working on LLM-related applications

- Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions

Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits.

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.

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