Senior Machine Learning Engineering Manager, Atlassian

Senior Machine Learning Engineering Manager

Atlassian

Location:
Australia, Sydney

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Not provided

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Job Description:

The GenAI foundation and quality team works cross-functionally, providing generative AI, machine learning infrastructure, and modeling applications. The role involves managing the ML lifecycle, researching novel techniques, mentoring the team, and collaborating with internal and external stakeholders.

Job Responsibility:

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

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

What we offer:

Health and wellbeing resources
Paid volunteer days
Wide range of perks and benefits to support family and personal goals

Additional Information:

Job Posted:
April 30, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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