Machine Learning Engineer, Confluence

Mountain View, United States

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Atlassian

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

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Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Confluence Cloud enables teams to build, organize, and collaborate in one single place from virtually anywhere. It is a team workspace where knowledge and collaboration meet. The mission of the Confluence Smarts team is to personalize and accelerate teamwork by anticipating users' needs. For that, we are looking for a Machine Learning Engineer or Data Scientist to join our Confluence Smarts team based in Mountain View, CA.

In this role, you'll get to:

  • Work with large datasets of behavioral and textual data
  • Build, test, and improve ML models from idea through the roll-out
  • Deliver significant business impact for our customers
  • Help us understand and improve customer experiences using advanced text analytics and machine learning models.
  • Gain exposure to unique challenges within the SaaS Enterprise domain

On your first day, we will expect you to have:

  • Bachelor or higher degree, or its equivalent, in Computer Science or a related technical field or equivalent practical experience
  • 2+ years of related industry experience in the data science domain
  • Proven track record of delivering quality data analysis, model building, and delivering customer impact with machine learning solutions
  • Proficiency in Python and Java languages
  • Proficiency with industry-standard data science frameworks or libraries (e.g. Spark, pandas, scikit-learn, TensorFlow, PyTorch, Keras, SpaCy, etc.)
  • Excellent communication skills in written and verbal forms, and an ability to communicate complex technical issues to a range of technical and non-technical audiences (management, peers, clients)
  • Passion to solve complex problems and keep users in mind
  • Passion for learning and always improving yourself and the team around you

It's great, but not required if you have:

  • Peer-reviewed scientific paper or delivered talk at a relevant conference
  • Development experience with search, recommendation systems, advertisement
  • Development experience with big data systems and interfaces, e.g., Databricks
  • Development experience with AWS services
  • Development experience with large-scale distributed systems
  • Practical knowledge of agile software development methodologies (e.g., Scrum, Kanban)
More about the teamConfluence Smarts consists of both seasoned senior and junior engineers. We believe and live by all the Atlassian values every day and help each other to reach our goals as a team. We can’t wait for you to join us!
Our perks & benefits
To support you at work and play, our perks and benefits include ample time off, an annual education budget, paid volunteer days, and so much more.
About Atlassian
The world’s best teams work better together with Atlassian. From medicine and space travel, to disaster response and pizza deliveries, Atlassian software products help teams all over the planet. At Atlassian, we're motivated by a common goal: to unleash the potential of every team.
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 learn more about our culture and hiring process, explore our Candidate Resource Hub.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile AWS Big Data Computer Science Data analysis Databricks Distributed Systems Kanban Keras Machine Learning ML models Pandas Python PyTorch Scikit-learn Scrum spaCy Spark TensorFlow

Perks/benefits: Career development Travel

Region: North America
Country: United States
Job stats:  15  1  0

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