Base Salary
$171k - $269k/yr
Responsibilities
- Architect and build production ML and evaluation systems operating at scale.
- Develop datasets, simulations, automated judges, regression suites, experimentation platforms, and online quality signals.
- Advance Rovo’s reasoning, planning, tool selection and use, action correctness, retrieval, memory, and long-horizon execution capabilities.
- Identify systemic failure modes, develop interventions, ship them to production, and measure customer impact.
- Make technical decisions across model choice, prompting, fine-tuning, data strategy, system architecture, and inference.
- Lead cross-organizational initiatives with ML, engineering, product, analytics, research, and design teams.
- Establish reusable methods, systems, and quality standards for AI-powered experiences.
- Provide technical leadership through design reviews, mentorship, and long-term vision.
Requirements
- Track record of architecting and shipping large-scale ML or AI systems with measurable customer and business impact.
- Deep experience with LLM-powered products, agentic systems, model evaluation, experimentation, and dataset development.
- Strong production engineering skills and ability to remain hands-on in a modern ML stack.
- Experience setting technical direction, influencing across teams, and leading complex initiatives from ambiguity to production.
- Strong product and technical judgment across quality, speed, reliability, safety, latency, and cost tradeoffs.
- Ability to communicate complex ideas clearly and improve the effectiveness of other engineers through mentorship and technical leadership.
Benefits
- Flexible work arrangement allowing work from an office, home, or a combination of both.
- Health and wellbeing resources and paid volunteer days.
- The role may be eligible for benefits, bonuses, commissions, and equity.
- Employment is available in countries where Atlassian has a legal entity.
Categories
About Atlassian
Atlassian powers the collaboration that helps teams accomplish what would otherwise be impossible alone. From space missions and motor racing to bugs in code and IT requests, no task is too large or too small with the right team, the right tools, and the right practices. Over 300,000 global companies and 80% of the Fortune 500 rely on Atlassian’s software, like Jira, Confluence, Loom, and Trello, to help their teams work better together and deliver quality results on time. With our 300,000+ customers and team of 10,000+ Atlassians, we are building the next generation of team collaboration and productivity software. We believe the power of teams has the potential to change the world — one that is more open, authentic, and inclusive.