Senior Machine Learning Engineer Manager

Role Description

The Rovo Chat & GenAI Platform team sits within the Rovo Chat and TWG Group in the Atlassian Rovo Intelligence & Experience Organization. We work cross-functionally across stakeholders in Growth, GTM, Product, Finance, and Sales organizations, supporting Rovo Chat product, providing generative AI, machine learning infrastructure, and modeling applications. Our team consists of ML engineers and system engineers, and provides many opportunities for collaboration, knowledge sharing, and individual growth. We are highly nimble, with a focus on velocity between conceptualization and initial output, and laser-focused on business impact.

As the engineering manager, you will have the opportunities to work with the product managers, Growth engineering teams, Performance Marketing online marketers, Data Science, and Data Engineering teams to:

• Manage the end-to-end machine learning lifecycle, from data collection and preprocessing, to model development and deployment, to evaluation and monitoring.
• Research and implement novel machine learning techniques and algorithms that can improve the performance, scalability, and robustness of our Recommendation system, and other AI/ML models.
• Mentor and coach your team members on best practices, code quality, design patterns, testing, debugging, and documentation.
• Hire, onboard, and retain top talent for your team and foster a culture of innovation, collaboration, and excellence.
• Communicate effectively with internal and external partners, present technical concepts and results clearly and concisely, and solicit feedback and input from various stakeholders.

Qualifications

• Master or PhD in a quantitative subject (Computer Science, Mathematics, Statistics, Operations Research, or relevant work experience)
• 5+ years of experience managing machine learning engineering teams running core services at scale
• Experience building and scaling machine learning models and agentic systems in business applications using large amounts of data
• Ability to communicate and explain data science 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

Requirements

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

Benefits

• 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.