Base Salary
$171k - $269k/yr
Responsibilities
- Develop and implement advanced machine-learning algorithms for business-critical applications.
- Build scalable, reliable, and performant forecasting algorithms, including deep-learning-based models.
- Lead the end-to-end machine-learning lifecycle from problem definition through deployment and iteration.
- Design system and model architectures for production-quality machine-learning solutions.
- Develop model-evaluation approaches and use data-driven insights to improve model quality and business impact.
- Build and improve machine-learning infrastructure and modeling applications that scale with business needs.
- Collaborate with business, engineering, analytics, Growth, GTM, Product, Finance, and Sales teams.
- Provide technical guidance and mentorship to junior ML engineers.
- Explain machine-learning concepts and recommendations to technical and non-technical audiences.
Benefits
- Flexible work from an office, from home, or a combination of the two, depending on location and legal-entity availability.
- Virtual interviews and onboarding as part of a distributed-first work model.
- Health and wellbeing resources.
- Paid volunteer days.
- Additional benefits, bonuses, commissions, and equity may be available.
Categories
About Atlassian
Atlassian powers the collaboration that helps teams accomplish what would otherwise be impossible alone. From space missions and motor racing to bugs in code and IT requests, no task is too large or too small with the right team, the right tools, and the right practices. Over 300,000 global companies and 80% of the Fortune 500 rely on Atlassian’s software, like Jira, Confluence, Loom, and Trello, to help their teams work better together and deliver quality results on time. With our 300,000+ customers and team of 10,000+ Atlassians, we are building the next generation of team collaboration and productivity software. We believe the power of teams has the potential to change the world — one that is more open, authentic, and inclusive.