Working at AtlassianAtlassians 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.Atlassian is looking for a Senior Machine Learning Engineer (with statistics focus) to join our Core Machine Learning team. The Core Machine Learning team builds and deploys ML modeling solutions to drive revenue generation, expand our active user base, and provide sophisticated forecasting for company top-line metrics and revenue. This is accomplished by driving the complete end-to-end ML development cycle. This is a unique opportunity to work in a collaborative environment, implement the cutting edge machine learning techniques, especially forecasting modelings, and tackle challenging and distinctive problems.Your future teamThe Core Machine Learning team sits within the Data Technology Insights group in the Atlassian Corporate Engineering Organization. We work cross-functionally across stakeholders in Growth, GTM, Product, Finance and Sales organizations, providing machine learning infrastructure and modeling applications. Our team consists of ML engineers and system engineers, and provides many opportunities for collaboration, knowledge sharing, and individual growth. We are highly nimble, with a focus on velocity between conceptualization and initial output, and laser-focused on business impact.What you'll doAs a Senior Machine Learning Engineer (statistics focus), you will drive work on the development and implementation of the cutting edge machine learning algorithms, collaborating with business, engineering, and analytics teams. You will be tasked to build scalable, reliable and highly performant forecasting algorithms to forecast company top-line metrics in a granular way, empower human-in-the-loop for model iteration and reinforcement learning, and excel in explaining the model and algorithm effectively to business partners. Your daily responsibilities will encompass a broad spectrum of tasks such as business problem quantification, model development and evaluations, and providing guidance to emerging junior ML engineers. Your role is pivotal, stretching beyond these tasks, ensuring AI/ML's transformative potential is realized across our offerings.Your backgroundOn the first day, we'll expect you to have
- Master or PhD in a quantitative subject (Statistics, Mathematics, Operations Research, or relevant work experience)
- 5 years of related industry experience in the forecasting and machine learning domain
- Experience building and scaling forecasting and machine learning models in business applications using large amounts of data, familiar with time series modeling, bayesian modeling, or anomaly detection
- Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
- Expertise in Python with and the ability to write performant code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)
- 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 writing production-quality code with clean, and using CICD pipelines to automate delivery process
- 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
CompensationAt 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 - $265,800Zone B: $179,400 - $239,200Zone 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.Our perks & benefitsAtlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefitsto learn more.About AtlassianAt 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.