Atlassian
The Role
Develop and deploy scalable machine-learning solutions, particularly deep-learning forecasting models for company top-line metrics. Lead the full ML lifecycle from problem definition and experimentation through production deployment and improvement. Design production-grade architectures, evaluate and improve models, collaborate with cross-functional teams, explain technical concepts to varied audiences, and mentor junior engineers.
Summary Generated by Built In
Engineering | Mountain View, United States or Remote | Remote, Remote | San Francisco, United States | Austin, United States
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. We are looking for a Senior Machine Learning Engineer to join our Confluence Cloud AI team.
The Confluence Cloud AI team builds and deploys machine-learning solutions that drive revenue generation, expand our active user base, and provide sophisticated forecasting for company top-line metrics. We work across the complete end-to-end machine-learning development lifecycle, from problem definition and experimentation through production deployment and ongoing improvement.
This is a unique opportunity to work in a highly collaborative environment, apply advanced machine-learning techniques, particularly forecasting models, and solve challenging, high-impact problems. You'll collaborate with stakeholders across Growth, GTM, Product, Finance, and Sales while working alongside experienced ML engineers and full-stack engineers.
Working at Atlassian
Atlassians have flexibility in 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, as part of being a distributed-first company.
Drive the development and implementation of advanced machine-learning algorithms for business-critical applications.
Build scalable, reliable, and highly performant forecasting algorithms, including deep-learning-based models, to forecast company top-line metrics at a granular level.
Lead the end-to-end machine-learning development lifecycle, including problem definition, data preparation, modeling, experimentation, evaluation, deployment, and iteration.
Design system and model architectures that support production-quality machine-learning solutions.
Develop rigorous model-evaluation approaches and use data-driven insights to improve model quality and business impact.
Collaborate with business, engineering, analytics, Growth, GTM, Product, Finance, and Sales teams to translate complex problems into practical solutions.
Build and improve machine-learning infrastructure and modeling applications that can scale with the needs of the business.
Explain machine-learning concepts and recommendations clearly to both technical and non-technical audiences.
Provide technical guidance and mentorship to junior ML engineers.
Balance high-quality output with business practicality, rapid iteration, and measurable customer and business outcomes.
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
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What the Team is Saying
Tiffany
Engineering Senior Associate, United States
I love working at Atlassian because my work contributions are celebrated by my team and I can see how my work aligns with the company's mission.
Gautam
Software Engineer, United States
Atlassian creates indispensable value for thousands of companies every day, but our biggest investment is in our people.
Tygrr
Product Manager, United States
I have never had so much fun while working with some of the smartest and most compassionate people, building impactful products.
Ashleigh
Frontend Engineer, United States
Atlassian is a great company to both build innovative products and level up your career all at once.
Jensen
Senior Frontend Software Engineer, United States
Atlassian is the first company where I felt like people were truly cared for. The company recognizes that its people are the center of its success.
Javier
Senior Solutions Engineer, United States
Atlassian offers some fantastic benefits, including time off to volunteer. This provides me with an additional sense of purpose and community.
Atlassian Compensation & Benefits Highlights
Parental & Family Support
—
Parental leave spans 26 weeks for birthing parents and 20 weeks for non-birthing parents, alongside inclusive family-formation benefits such as fertility treatment, adoption, and surrogacy. Additional supports include menopause resources and caregiving-related programs.
Retirement Support
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Retirement programs include a U.S. 401(k) company match with immediate vesting and multiple contribution options. These are complemented by other financial wellbeing tools like HSAs/FSAs.
Healthcare Strength
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Medical coverage is paired with mental-health resources, disability and life insurance, and options such as HSA/FSA. Descriptions also point to solid plan choices with access to counseling, coaching, and 24/7 support.
Learn more about Atlassian's Compensation & Benefits →
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