Senior Machine Learning Engineer

Atlassian Corp.; Mountain View, Northern (CA, KY); Hybrid; USD 206,000 - 269,000; Full time

Benefits offered by this job

Health and wellbeing resources

Paid volunteer days

Comprehensive benefits

Job summary

Atlassian is hiring a Senior Machine Learning Engineer to join the Confluence Cloud AI team. The role offers flexible work locations, including office, home, or a mix, with the ability to hire across countries where Atlassian has a legal entity.

You will drive forecasting ML solutions, collaborate across Growth, GTM, Product, Finance, and Sales, and mentor junior ML engineers. Work involves designing scalable ML architectures, deploying production-ready models, evaluating models rigorously, and

Responsibilities

• 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.
• Explain machine-learning concepts and recommendations clearly to both technical and non-technical audiences.

Job description

Engineering | Mountain View, United States or Remote | Remote, Remote | San Francisco, United States | Austin, United States |

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.

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.

This role may also be eligible for benefits, bonuses, commissions, and equity.

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: $206,100 - $269,075

Zone B: $185,490 - $242,168

Zone C: $171,063 - $223,332

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.

In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.

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