Senior Machine Learning Engineer - Rovo Chat

Senior Machine Learning Engineer – Rovo Chat

Join to apply for the Senior Machine Learning Engineer – Rovo Chat role 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.

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.

The Rovo Chat Quality team ensures Rovo Chat is reliable, factual, low‑latency, and useful  are a high‑visibility team driving agent architecture, effective evaluations, custom models (RL & SFT) as well as improving reliability and observability.

• 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 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

• 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

Mid‑Senior level

Full‑time

Engineering and Information Technology

Software Development

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. 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.

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 .

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 .