Senior Machine Learning Engineering Manager

March 21

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

💵 $229.3k - $305.7k / year

⏰ Full Time

🟠 Senior

👮‍♀️ Software Engineering Manager

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Atlassian

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Atlassian powers the collaboration that helps teams accomplish what would otherwise be impossible alone.From space missions and motor racing to bugs in code and IT requests, no task is too large or too small with the right team, the right tools, and the right practices. Over 300,000 global companies and 80% of the Fortune 500 rely on Atlassian’s software, like Jira, Confluence, Loom, and Trello, to help their teams work better together and deliver quality results on time.With our 300,000+ customers and team of 10,000+ Atlassians, we are building the next generation of team collaboration and productivity software.We believe the power of teams has the potential to change the world—one that is more open, authentic, and inclusive.

b2b enterprise software • bug tracker • issue tracker • enterprise wiki • corporate wiki

10,000+ employees

💰 $3.2G Secondary Market on 2014-04

📋 Description

• drive the development and implementation of the cutting-edge machine learning algorithms • training sophisticated models • collaborating with product, engineering, and analytics teams, to build the AI functionalities into each Atlassian product and service • daily responsibilities will encompass a broad spectrum of tasks such as designing system and model architectures, conducting rigorous experimentation and model evaluations, and providing guidance to emerging ML engineers • your role is pivotal, stretching beyond these tasks, ensuring AI's transformative potential is realized across our offerings.

🎯 Requirements

• 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 • It's great, but not required, if you have • Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space • Experience in developing deep learning-based models and working on LLM-related applications • Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions

🏖️ Benefits

• health coverage • paid volunteer days • wellness resources • and so much more.