<ul><li>Define the technical vision and roadmap for AI Foundation and NextGen.</li><li>End-to-end ownership - from prototyping and development to productionization.</li><li>Hands-on work in prompt engineering, model iteration, and training/inference systems.</li><li>Collaborate with Product, Engineering, Data Science, and UX to align on priorities and deliver measurable impact. Facilitate product and technical decisions, ensuring alignment with business goals.</li><li>Drive platformization of AI/ML systems to improve scalability, reliability and adoption across teams.</li><li>Partner with customer teams to understand needs, build relationships, and expand the scope of AI adoption.</li><li>Explore and apply state-of-the-art AI/ML techniques to solve novel product challenges. Evaluate in-house model development vs. third-party APIs for ML/AI solutions. </li><li>Establish best practices for AI development, quality measurement, monitoring and scalability.</li></ul> Must-Have:<ul><li>7+ years of experience in machine learning engineering, including hands-on work with training/inference pipelines, prompt engineering, and ML systems, demonstrating deep expertise in applied ML.</li><li>Proven track record of tech-leading AI/ML products from conception to launch.</li><li>Strong platform mindset - experience building reusable tools/infras to accelerate AI development.</li><li>Strong programming skills in JS and Python.</li><li>Excellent communication and collaboration skills.</li></ul>Nice-to-Have:<ul><li>PhD or MS in a relevant field.</li><li>Background in ML modeling (training/finetuning ML models).</li><li>Experience with chatbots, generative AI, or LLM-powered applications.</li></ul>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 candidates 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: $206,100 - $269,075Zone B: $186,300 - $243,225Zone C: $171,900 - $224,425This role may also be eligible for benefits, bonuses, commissions, and equity.Please visit <a href="http://go.atlassian.com/payzones">go.atlassian.com/payzones</a> 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 &amp; PerksAtlassian 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 <a href="http://go.atlassian.com/perksandbenefits">go.atlassian.com/perksandbenefits</a>.About AtlassianAt Atlassian, were 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 everyones 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 <a href="http://go.atlassian.com/crh">go.atlassian.com/crh</a>.

Atlassian

Principle ML / AI Engineer

Atlassian

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