Job Type
Full Time
Job Details
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.
Atlassian is looking for a Senior Machine Learning Engineer to join the Confluence AI team. This team builds and deploys AI/ML based on features within Confluence Cloud to delight customers, increase engagement and lead new revenue sources. This is a unique opportunity to work in a collaborative environment, implement modern machine learning techniques, including LLM (large language modelings), and have a remarkable impact within the enterprise SaaS industry.
Your future team
The Confluence AI team is tasked to lead the AI adoption with Confluence Cloud. Our team covers the whole lifecycle of feature development. The team's base is in Mountain View, CA, but the team is split geographically between the US West and East Coast. This is a remote-friendly opportunity. You will report to the Engineering Manager.
What you'll do- Manage AI/ML projects to achieve the desired outcome promptly
- Mentor more junior team members
- Identify opportunities to improve our productivity and bring the industry's best practices to the team
- Investigate production issues and provide improvements to maintain high quality for our customers
- Master or equivalent in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience)
- 5+ years of related industry experience in the data science domain
- Experience delivering impact in the domain of Content Recommendation, Text Classification, Knowledge Graphs.
- Expertise in Java & Python with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)
- Experience building and scaling machine learning models in business applications using large amounts of data
- Agile development mindset, appreciating the benefit of constant iteration and improvement
- Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space
- Experience developing deep learning-based models and working on LLM-related applications
Compensation
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: $199,400 - $265,800
Zone B: $179,400 - $239,200
Zone C: $165,500 - $220,600
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.
#LI-Remote
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.
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.
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