Senior Machine Learning Engineering Manager

Seattle - United States - Seattle, Washington United States; Remote - Remote; San Francisco - United States - San Francisco, California 94104 United States; Mountain View - United States or Remote - Mountain View, California 94041 United States

Atlassian

Atlassian's team collaboration software like Jira, Confluence and Trello help teams organize, discuss, and complete shared work.

View all jobs at Atlassian

Apply now Apply later

Overview

Working at Atlassian

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.

Responsibilities

Your Future Team

The Confluence AI pillar sits within the Confluence group at Atlassian. We work cross-functionally across stakeholders, providing generative AI and machine learning features. Our team consists of machine learning engineers, frontend engineers, and backend engineers. We are highly nimble, with a focus on velocity between conceptualization and initial output, and laser-focused on business impact.

What You’ll Do

As the engineering manager, you will need to work with product managers, user experience designers, program managers, and other teams, to:

  • Manage the end-to-end machine learning lifecycle, from data collection and preprocessing, to model development and deployment, to offline evaluation and online monitoring.

  • Research and push boundaries in GenAI techniques and algorithms that can improve the performance, scalability, and robustness of our AI experiences.

  • Mentor and coach your team members on best practices, code, and model 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.

  • Experiment with new models and features, while making data-driven decisions in A/B testing scenarios.

Qualifications

Compensation

At Atlassian, we strive to design equitable, explainable, and competitive 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: $205,700 - $274,300

Zone B: $185,200 - $246,900

Zone C: $170,800 - $227,700

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.

Benefits & Perks

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. To learn more, visit go.atlassian.com/perksandbenefits.

About Atlassian

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.

Apply now Apply later
Job stats:  0  0  0

Tags: A/B testing Confluence Engineering Generative AI Machine Learning ML models Research Testing

Perks/benefits: Career development Competitive pay Equity / stock options Health care Salary bonus

Regions: Remote/Anywhere North America
Country: United States

More jobs like this