Atlassian, a global leader in collaboration software, is seeking a Machine Learning Engineer to join our Core Machine Learning team in Mountain View, CA. As a Machine Learning Engineer, you will design and deploy advanced ML models, including large-scale recommendation systems, to drive revenue, enhance user engagement, and support data-driven decision-making. This role provides a unique opportunity to apply cutting-edge machine learning techniques, collaborate across teams, and directly influence Atlassian’s growth strategy. You’ll work in a dynamic environment where your contributions as a Machine Learning Engineer will impact both internal business operations and millions of users worldwide.
Key Responsibilities – Machine Learning Engineer
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Develop and implement state-of-the-art machine learning algorithms for recommendation systems and growth optimization.
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Collaborate with business, engineering, and analytics teams to design scalable model architectures.
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Conduct rigorous experimentation, model evaluation, and performance monitoring.
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Apply ML solutions to support strategic business objectives and customer engagement.
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Stay up-to-date with emerging ML research and best practices to enhance production systems.
Your Team – Core Machine Learning
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Work within the Data Technology Insights group, collaborating with Growth, GTM, Product, Finance, and Sales teams.
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Partner with ML engineers and system engineers in a highly collaborative, nimble environment.
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Focus on translating conceptual ML ideas into actionable, high-impact solutions.
Qualifications – Machine Learning Engineer
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Master’s or PhD in Mathematics, Computer Science, Statistics, Operations Research, or equivalent experience.
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3+ years of hands-on experience in machine learning and production-level model deployment.
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Proficiency in Python, SQL, Spark, and cloud data environments (AWS, Databricks).
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Experience building scalable ML models using large datasets.
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Agile development mindset with an emphasis on iterative improvement.
Preferred Qualifications
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Experience designing recommendation algorithms or AI-driven solutions for Sales or SaaS products.
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Background in consumer/B2C or enterprise/B2B SaaS environments.
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Strong problem-solving skills, capable of tackling complex and ambiguous challenges.
Compensation & Benefits
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Competitive base pay by geographic zones in the US:
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Zone A: $175,500 – $229,125
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Zone B: $158,400 – $206,800
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Zone C: $145,800 – $190,350
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Eligibility for bonuses, commissions, and equity.
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Comprehensive health and wellness resources, paid volunteer days, and other perks.
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Flexible work options including office, remote, or hybrid arrangements.
Why Atlassian
Atlassian empowers teams worldwide by providing tools that make collaboration seamless. We foster a culture of diversity, inclusion, and creativity, where every team member’s contribution matters. Our hiring process accommodates candidates at all stages, and we strive to provide equitable opportunities for growth and development.