Multiple employees collaborating on work
Atlassian Logo

Atlassian

Machine Learning Engineer

Sorry, this job was removed at 02:58 p.m. (GMT) on Thursday, Apr 03, 2025
Remote
Hiring Remotely in Seattle, WA
Remote
Hiring Remotely in Seattle, WA

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.
What you'll do
As an Applied Machine Learning engineer, you will work on the development and implementation of the cutting edge machine learning algorithms, training models, collaborating with product, engineering, and analytics teams, to build the AI functionalities into each Atlassian products and services. Your daily responsibilities will encompass a broad spectrum of tasks such as designing system and model architectures, conducting rigorous experimentation and model evaluations. You will be responsible for application of AI/ML to various product problems to improve Atlassian products and actively contribute to Atlassian Intelligence features.
On your first day, we'll expect you to have

  • Master or PhD in Machine Learning, AI, Information retrieval or quantitative subjects (Statistics, Mathematics, Computer Science, Operations Research) or equivalent relevant work experience in data science domain.
  • Expertise in Python or Java with and the ability to write performant production-quality code, familiarity with SQL. Knowledge of Spark and cloud data environments is a plus (e.g. AWS, Databricks)
  • Experience building and scaling machine learning models using large amounts of data
  • 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


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: $173,300 - $231,100
Zone B: $156,000 - $208,000
Zone C: $143,900 - $191,800
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 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 .

Similar Jobs at Atlassian

2 Days Ago
Remote
Seattle, WA, USA
Expert/Leader
Expert/Leader
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
As a Senior Principal Machine Learning Engineer, you'll lead the development of machine learning algorithms, integrate AI functionalities across products, and mentor junior engineers while ensuring efficient collaboration across teams.
Top Skills: AWSDatabricksJavaPythonSparkSQL
4 Days Ago
Remote
Seattle, WA, USA
Senior level
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead design, development, and deployment of scalable ML systems, optimizing model performance and mentoring junior engineers to support business growth.
Top Skills: Cloud ComputingHigh-Performance ComputingMachine LearningMlops
2 Days Ago
Remote
Seattle, WA, USA
Expert/Leader
Expert/Leader
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
As a Senior Principal Machine Learning Engineer, you'll lead the development of machine learning algorithms, integrate AI functionalities across products, and mentor junior engineers while ensuring efficient collaboration across teams.
Top Skills: AWSDatabricksJavaPythonSparkSQL

What you need to know about the Edinburgh Tech Scene

From traditional pubs and centuries-old universities to sleek shopping malls and glass-paneled office buildings, Edinburgh's architecture reflects its unique blend of history and modernity. But the fusion of past and future isn't just visible in its buildings; it's also shaping the city's economy. Named the United Kingdom's leading technology ecosystem outside of London, Edinburgh plays host to major global companies like Apple and Adobe, as well as a growing number of innovative startups in fields like cybersecurity, finance and healthcare.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account