Base Salary
$171k - $269k/yr
Responsibilities
- Design, build, and operate machine learning systems for personalized recommendations, engagement and activation journeys, cross-product expansion, and sales experiences.
- Build reliable datasets, features, models, evaluation frameworks, and decisioning services for large-scale personalized customer journeys.
- Design system architectures, run offline policy evaluations and online experiments, and monitor attribution, latency, quality, and fairness.
- Define the evolution strategy for Growth ML capabilities and drive implementation across short-, mid-, and long-term goals.
- Partner with product, engineering, data science, analytics, marketing, and sales teams to turn ambiguous growth opportunities into measurable production capabilities.
Requirements
- Bachelor’s or Master’s degree, preferably in Computer Science, or equivalent experience.
- 5+ years of related industry experience in machine learning.
- Expertise in Python and knowledge of Java and TypeScript, with familiarity with SQL, Spark, and cloud data environments such as AWS and Databricks.
- Experience building and scaling machine learning models, datasets, and evaluation systems using large amounts of data.
- Experience partnering with product, analytics, marketing, or sales teams on personalized customer journeys or sales-assist experiences.
- Familiarity with contextual bandits, uplift modeling, recommender systems, policy evaluation, causal inference, or related decision-optimization approaches.
- Preferred experience includes consumer or B2C SaaS, enterprise or B2B products, and ML applications in growth, personalization, recommendations, ranking, experimentation, or decisioning.
- Preferred understanding of engagement, activation, conversion, expansion, and retention metrics and downstream business outcomes.
Benefits
- Flexible work arrangement allowing employees to work from an office, from home, or in a combination of both.
- Benefits may include health and wellbeing resources, paid volunteer days, bonuses, commissions, and equity.
- Atlassian provides recruitment accommodations or adjustments when needed.
Tech Stack
Categories
About Atlassian
Atlassian powers the collaboration that helps teams accomplish what would otherwise be impossible alone. From space missions and motor racing to bugs in code and IT requests, no task is too large or too small with the right team, the right tools, and the right practices. Over 300,000 global companies and 80% of the Fortune 500 rely on Atlassian’s software, like Jira, Confluence, Loom, and Trello, to help their teams work better together and deliver quality results on time. With our 300,000+ customers and team of 10,000+ Atlassians, we are building the next generation of team collaboration and productivity software. We believe the power of teams has the potential to change the world — one that is more open, authentic, and inclusive.