Senior Machine Learning Engineer Growth

Working at Atlassian

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Atlassian is seeking a Machine Learning Engineer to join our Growth organization. Growth builds intelligent personalized experiences that help customers discover value adopt more of Atlassian and progress through the customer lifecycle from awareness and activation to expansion retention and long-term value. 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.

Your future team

The Growth organization brings together product engineering data science analytics and product operations to improve how customers discover adopt and expand their use of Atlassian. We work across the full funnel from acquisition and onboarding through activation conversion expansion and retention. Our teams use experimentation personalization and intelligent orchestration to personalize and help customers see the right product feature or next step at the right time all while creating durable business value.

As part of Growth you will build ML capabilities that enable teams to deliver personalized and consistent measurable experiences across Atlassians portfolio. This includes building reliable data foundations features models evaluation frameworks and decisioning systems that support cross-product recommendations and personalized journeys; for example moving cross-flow ranking from fragmented fixed heuristics toward a unified value-aware orchestration system that ranks recommendations using user context probability of conversion and expected lifetime value going from generic noisy messaging to actionable and personalized recommendations that improve customer outcomes and business impact across surfaces such as navigation screen-space flags and app-switcher experiences.

What youll do

As a Machine Learning Engineer you will design build and operate ML systems that help Growth make better decisions across the customer and sales funnel. You will develop models and decisioning services for personalized recommendations engagement and activation journeys cross-product expansion and sales experiences providing contextual proactive support throughout the funnel. You will define the strategy on how our ML capabilities should evolve to support Atlassian short mid and long-term goals and drive their implementation.

You will partner closely with product engineering data science analytics marketing and sales teams to translate ambiguous growth opportunities into measurable experiments and production capabilities. Your work may include designing models and system architectures; building datasets features and evaluation frameworks; running offline policy evaluation and online experiments; monitoring attribution latency quality and fairness; and iterating based on customer and outcomes. You will help ensure that we optimize for durable customer and portfolio value not only short-term clicks or conversions.

Your background

On the first day well expect you to have

• Bachelors or Masters 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 and 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; very high bar for output quality but recognize the business benefit of having something now vs perfection sometime in the future

• Agile development mindset appreciating the benefit of constant iteration and improvement

• Experience in solving ambiguous and complex problems being able to navigate through uncertain situations breaking down complex challenges into manageable components and developing innovative solutions

• 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

Its great but not required if you have

• Experience working in a consumer or B2C space for a SaaS product provider or the enterprise/B2B space

• Experience applying machine learning to growth personalization recommendations ranking experimentation or decisioning problems across a customer funnel

• Understanding of engagement activation conversion expansion and retention metrics and how to balance short-term signals with downstream outcomes

At Atlassian we strive to design equitable explainable and competitive compensation programs. We follow consistent hiring practices and account for each candidates skills knowledge and experience when setting base pay within the range.

Please visit 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.

This role may also be eligible for benefits bonuses commissions and equity.

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: $206100 - $269075

Zone B: $185490 - $242168

Zone C: $171063 - $223332

Benefits & Perks

Atlassian 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 Atlassian

At 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 line with local law identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.