Senior Machine Learning Engineering Manager

Key Skills

Aartificial intelligence, Algorithms, Design, Employee life cycle, Leadership Skill, Machine learning techniques

Job Description

We're looking for a senior machine learning engineering manager to join our Central AI team and lead a group of talented engineers who are responsible for creating and deploying state-of-the-art machine learning models and algorithms. You will report directly to the head of engineering and work closely with the Central AI leadership team to define and execute the vision and strategy for AI modeling training and evaluation, as well as the cutting edge machine learning algorithms development. You will also collaborate with the AI platform team, federated product teams, and other stakeholders to provide the modeling, framework, and prompt engineering support for the federated product teams to accelerate the AI feature development across the board.

As the engineering manager, you will need to work with the product manager, AI platform team, federated product 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 AI models and systems.
• 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.

Your background:

• Master or PhD in a quantitative subject (Computer Science, Operations Research, or relevant work experience)
• 5+ years of experience managing software 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

At Atlassian, we strive to design equitable and explainable compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience.

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: $229,300 - $305,700

Zone B: $206,300 - $275,100

Zone C: $190,300 - $253,700

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

Please visit go.atlassian.com/payzones 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.

Our perks & benefits

Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more.