Senior Machine Learning Engineer - Growth

About the Position

We're seeking a Senior Machine Learning Engineer for our Growth team to develop scalable ML systems that drive customer engagement and sales experiences.

Responsibilities

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.

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, 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 evaluation frameworks 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

Nice to 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

We Offer

• Competitive salary ranging from $171,063 - $269,075 per year, depending on the geographic pay zone
• A wide range of perks and benefits designed to support you, your family, and to help you engage with your local community
• Opportunity to work in a flexible, hybrid environment

About the Company

At Atlassian, we're 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 everyone's 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 go.atlassian.com/crh.