Senior Machine Learning Engineer - Rovo Chat

Posted 2 Days Ago
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Hiring Remotely in San Francisco, CA
In-Office or Remote
168K-264K Annually
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Atlassian provides tools to help every team unleash their full potential.
The Role
As a Senior Machine Learning Engineer, you will develop and scale machine learning models for Rovo Chat, ensuring reliability and utility, while communicating solutions across teams.
Summary Generated by Built In
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.
About Atlassian Rovo Chat
Rovo Chat is Atlassian's flagship product, driving the next generation of user experience for Atlassian customers, designed to help people get work done across Atlassian products and 3rd party knowledge sources including Slack, Notion and Google Drive.
As a core ML surface, it's where we ship cutting-edge LLM, retrieval, and agentic orchestration work directly into the hands of millions of users, with clear, measurable impact on how teams search, reason, and execute work every day.
Learn more here: https://www.atlassian.com/software/rovo
Your Future Team
The Rovo Chat Quality team ensures Rovo Chat is reliable, factual, low-latency, and useful at scale. We are a with high visibility team driving agent architecture, effective evaluations, custom models (RL & SFT) as well as improving reliability and observability.
Your Background
  • Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience)
  • 5+ years of related industry experience in the machine learning 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 (e.g. AWS, Databricks)
  • Experience building and scaling machine learning models in business applications using large amounts of data
  • Ability to communicate and explain machine learning 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 in developing deep learning-based models and working on LLM-related applications
  • Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space
  • 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: $202,500 - $264,375
Zone B: $182,700 - $238,525
Zone C: $168,300 - $219,725
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 .

Top Skills

AWS
Databricks
Java
Python
Spark
SQL

What the Team is Saying

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The Company
HQ: San Francisco, CA
11,000 Employees
Year Founded: 2012

What We Do

Atlassian creates teamwork solutions for high-performing teams. Our portfolio of collaboration and work management software products includes Jira, Confluence, Trello, Loom and Rovo. More than 300,000 businesses worldwide rely on Atlassian’s technology, including 80 percent of Fortune 500 companies. Our solutions support various business teams and they help organizations plan, track, and deliver their biggest ideas together.

Why Work With Us

At Atlassian, we believe we can accomplish so much more together than apart — which is why everything from our tooling — to our distributed workforce — to how our teams are structured is rooted in collaboration. Come join us and help unleash the potential of every team.

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Atlassians have flexibility in where they work to support their family, personal goals, and other priorities. Our approach to distributed work allows us to tap into talent beyond our office locations, and to reimagine how work gets done.

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