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 data foundations, datasets, features, models, evaluation frameworks, and decisioning services at scale.
- Define and implement the strategy for evolving ML capabilities across short-, mid-, and long-term Growth objectives.
- Design system architectures, run offline policy evaluations and online experiments, and monitor attribution, latency, quality, and fairness.
- Partner with product, engineering, data science, analytics, marketing, and sales teams to develop measurable experiments and production capabilities.
- Optimize decisioning systems for durable customer and portfolio value rather than only short-term clicks or conversions.
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 the ability to write performant, production-quality code.
- Familiarity with SQL, Spark, and cloud data environments such as AWS and Databricks.
- Experience building and scaling machine learning models in business applications using large amounts of data.
- Experience building large-scale datasets and evaluation systems.
- Experience solving ambiguous and complex problems and communicating ML concepts to diverse audiences.
- 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 approaches for optimizing decisions under uncertainty.
- Preferred experience includes consumer or B2C SaaS, enterprise or B2B products, and applying ML to growth, personalization, recommendations, ranking, experimentation, or decisioning problems.
Benefits
- Flexible work arrangement allowing employees to work from an office, from home, or in a combination of the two.
- Health and wellbeing resources, paid volunteer days, and additional benefits and perks.
- The role may be eligible for bonuses, commissions, equity, and other benefits.
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.