Senior Machine Learning Engineering Manager

Atlassian • Seattle, WA

228d • $229,200 - $305,600

About The Position

Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. The GenAI foundation and quality team sits within the Search and AI Conversation Group in the Atlassian Central AI Organization. We work cross-functionally across stakeholders in Growth, GTM, Product, Finance and Sales organizations, 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.

Requirements

• 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 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

Responsibilities

• 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.

Benefits

• Health and wellbeing resources
• Paid volunteer days
• Equitable, explainable, and competitive compensation programs
• Eligibility for benefits, bonuses, commissions, and equity

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Publishing Industries
• Education Level: Master's degree