Senior Machine Learning Engineering Manager

Overview 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. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Responsibilities • Manage the end-to-end machine learning lifecycle: data collection, preprocessing, model development, deployment, evaluation, and monitoring. • Experienced in advanced search algorithm and stack, good knowledge on LLM-based search applications and agentic search. • Research and implement novel ML techniques to improve performance, scalability, and robustness of recommendation systems and other AI/ML models. • Mentor and coach team members on best practices, code quality, design patterns, testing, debugging, and documentation. • Hire, onboard, and retain top talent; foster a culture of innovation, collaboration, and excellence. • Communicate effectively with internal and external partners; present technical concepts and results clearly; solicit feedback from stakeholders. Qualifications • Master’s or PhD in Computer Science, Mathematics, Statistics, or a related field. • 5+ years of experience managing ML engineering teams running core services at scale. • Proven track record of building and scaling ML models in business applications using large datasets. • Ability to communicate and explain data science concepts to diverse audiences. • Focus on business practicality and the 80/20 rule; high bar for output quality, but pragmatic about delivery. • Agile development mindset, with appreciation for constant iteration and improvement Compensation At 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: $232,200 - $303,150 Zone B: $209,700 - $273,775 Zone C: $193,500 - $252,625 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. Benefits & Perks 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. To learn more about our culture and hiring process, visit go.atlassian.com/crh. Apply tot his job