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About the Role
Atlassian is seeking a Machine Learning Engineer to join our Growth organization. You will help turn behavioral and product signals into scalable ML systems that support the growth funnel, drive meaningful engagement, and enable more relevant customer and sales experiences.
Responsibilities
- Design, build, and operate ML systems that help Growth make better decisions across the customer and sales funnel.
- Develop models and decisioning services for personalized recommendations, engagement and activation journeys, cross-product expansion, and sales experiences.
- Define the strategy on how our ML capabilities should evolve to support Atlassian short, mid, and long-term goals and drive their implementation.
- Partner closely with product, engineering, data science, analytics, marketing, and sales teams to translate ambiguous growth opportunities into measurable experiments and production capabilities.
- Design models and system architectures.
- Build datasets, features, and evaluation frameworks.
- Run offline policy evaluation and online experiments.
- Monitor attribution, latency, quality, and fairness.
- Iterate based on customer and outcomes.
- Optimize for durable customer and portfolio value, not only short-term clicks or conversions.
Requirements
- Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience)
- 5+ years of related industry experience in the machine learning domain
- Expertise in Python, and knowledge about other languages such as Java and Typescript, with the ability to write performant production-quality code
- Familiarity with SQL
- Knowledge of Spark
- Familiarity with cloud data environments (e.g. AWS, Databricks)
- Experience building and scaling machine learning models in business applications using large amounts of data
- Experience building datasets and evals to benchmark systems operating at a large scale
- Ability to communicate and explain ML concepts to diverse audiences, craft a compelling story
- Focus on business practicality and the 80/20 rule
- Agile development mindset
- Experience in solving ambiguous and complex problems
- Experience partnering with product, analytics, marketing, or sales teams to build personalized customer journeys or sales-assist experiences
- Familiarity with contextual bandits, uplift modeling, recommender systems, policy evaluation, causal inference, or other approaches for optimizing decisions under uncertainty
- Experience working in a consumer or B2B space for a SaaS product provider, or the enterprise/B2B space (great, but not required)
- Experience applying machine learning to growth, personalization, recommendations, ranking, experimentation, or decisioning problems across a customer funnel (great, but not required)
- Understanding of engagement, activation, conversion, expansion, and retention metrics, and how to balance short-term signals with downstream outcomes (great, but not required)
Skills
- Python
- Java
- Typescript
- SQL
- Spark
- AWS
- Databricks
- Machine Learning
- Contextual bandits
- Uplift modeling
- Recommender systems
- Policy evaluation
- Causal inference
Location
- United States
Work Type
- Office
- Home
- Hybrid
Experience Level
- 5+ years of related industry experience in the machine learning domain
Education Level
- Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience)
Salary/Compensations
- Zone A: $206,100 - $269,075
- Zone B: $185,490 - $242,168
- Zone C: $171,063 - $223,332
Benefits
- Health and wellbeing resources
- Paid volunteer days
About the Company
- Atlassian is 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.
Equal Opportunity
- 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.
- We can support with accommodations or adjustments at any stage of the recruitment process.
- Identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.