Senior Machine Learning Engineer - Rovo Chat
Atlassian
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.
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.