Senior Machine Learning Engineering Manager

Overview 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 Engineering Manager to join our Core Machine Learning team. The Core Machine Learning team builds and deploys advanced AI/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. Responsibilities 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 the engineering manager, you will need to work with the product managers, Growth engineering teams, Performance Marketing online marketers, Data Science and Data Engineering teams to:Manage the end-to-end machine learning lifecycle, from data collection and preprocessing, to model development and deployment, to evaluation and monitoring.Research and implement novel machine learning techniques and algorithms that can improve the performance, scalability, and robustness of our Recommendation system, and other AI/ML models.Mentor and coach your team members on best practices, code quality, design patterns, testing, debugging, and documentation.Hire, onboard, and retain top talent for your team and foster a culture of innovation, collaboration, and excellence.Communicate effectively with internal and external partners, present technical concepts and results clearly and concisely, and solicit feedback and input from various stakeholders.Your backgroundMaster or PhD in a quantitative subject (Computer Science, Mathematics, Statistics, Operations Research, or relevant work experience)5+ years of experience managing machine learning engineering teams running core services at scaleExperience building and scaling machine learning models in business applications using large amounts of dataAbility to communicate and explain data science concepts to diverse audiences, craft a compelling storyFocus 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 Qualifications 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: $229,200 - $305,600Zone B: $206,300 - $275,100Zone C: $190,300 - $253,700 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.Job SummaryCategory: Engineering