Senior Machine Learning Systems Engineer

Working at Atlassian
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.
Your Future Org
To become a 100-year company, we need a world-class engineering organisation made up of empowered teams who have the tools and infrastructure to do the best work of their careers.
As part of a unified R&D team, Engineering is prioritising key initiatives which support our customers in moving to cloud while simultaneously continuing to bring the most value to our customers through investments across our core product suite - including Jira, Confluence, Trello, and Bitbucket.
We're looking for people who want to write the future and who believe that we can accomplish so much more together.
Your Future Team
The Central AI org is part of the larger Atlassian Intelligence program. Its purpose is to accelerate AI innovation across all our products and platform, provide cohesive AI experiences and set up an Atlassian AI infrastructure for the future.
Responsibilities
As a Senior Machine Learning Engineer, you will work on the development and implementation of the cutting edge machine learning algorithms, training sophisticated models, collaborating with Product, Engineering and Analytics teams to build the AI functionalities into each Atlassian product and service.
Your daily responsibilities will encompass a broad spectrum of tasks such as designing system and model architectures, conducting rigorous experimentation and model evaluations and providing guidance to junior ML engineers. Your role is pivotal, stretching beyond theses tasks, ensuring AI's transformative potential is realizes across our offerings.
Minimum Qualifications

• Bachelors or Masters degree (preferably Computer Science)
• 3+ years of related industry experience in the data science domain
• Expertise in Python or Java with and the ability to write performant production quality code, familiarity with SWL, knowledge of Spark and cloud data environments (AWS, Databricks)
• Agile development mindset, appreciating the benefit of constant iteration and improvement

Preferred Qualifications

• 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

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: $199,400 - $265,800
Zone B: $179,400 - $239,200
Zone C: $165,500 - $220,600
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.
Benefits & Perks
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.
To learn more about our culture and hiring process, visit go.atlassian.com/crh .