Senior Machine Learning Engineer
Skills
About the role
This is a senior machine learning engineering role at Atlassian, working on the Rovo AI product, open remotely with a San Francisco base. It suits an experienced ML engineer who wants to stay hands-on while setting technical direction for agentic AI systems used by millions of users. The role centers on building evaluation systems and improving model and agent quality in production.
What you’ll do
- Architect and build production ML and evaluation systems including datasets and regression suites
- Advance Rovo's agentic capabilities across reasoning, planning, tool use and retrieval
- Close the loop between evaluation and product impact by shipping interventions
- Make technical decisions across model choice, prompting, fine-tuning and system architecture
- Lead cross-organizational initiatives with ML, engineering, product and design partners
- Establish reusable methods and quality standards for AI-powered experiences
- Mentor other engineers and provide technical leadership
What they’re looking for
- Track record architecting and shipping large-scale ML or AI systems with measurable impact
- Deep experience with LLM-powered products, agentic systems and model evaluation
- Strong production engineering skills in a modern ML stack
- Technical leadership setting direction across teams
- Excellent product and technical judgment balancing quality, latency and cost
- Strong communication and mentorship ability
What’s on offer
- Health and wellbeing resources
- Paid volunteer days
Questions about this role
Is this role remote?
Yes, it's a remote role based out of San Francisco, CA.
What product does this role work on?
Atlassian's Rovo Chat, an AI agent product.
How this role compares
One of 8 open Senior Machine Learning Engineer roles we are tracking today.
Posted 2 days ago, with 1 of the others posted since and 6 still open from before.
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