Senior Principal Machine Learning Systems Engineer, Search Platform
Working at Atlassian
Set technical direction
Drive measurable improvements
Identify and pursue moonshots
Lead model optimisation end-to-end
Define and enforce ML systems standards
Mentor and elevate
Partner across teams
- Search Quality, ML Platform, and product - to align roadmaps and unblock high-impact work
•
Translate ambiguous problems
United States
Zone A
Zone B
: $245,430 - $320,423
Zone C : $226,341 - $295,501
Qualifications
- 12+ years of engineering experience, with significant depth in ML systems and production ML infrastructure
- Proven track record designing and shipping
low-latency ML serving systems
at scale (sub-100ms ranking, retrieval, or inference pipelines)
- Deep expertise in
information retrieval and search
: dense/sparse retrieval, neural reranking, hybrid search, learning-to-rank
- Strong command of
model optimisation techniques
large-scale serving infrastructure
: model serving frameworks (Triton, TorchServe, vLLM or equivalent), GPU/CPU optimisation, autoscaling
- Track record of
technical leadership without authority
- influencing architecture and decisions across team and org boundaries
- Demonstrated ability to
identify high-leverage research directions
and drive them from prototype to production
- Experience with
online experimentation
and rigorous evaluation frameworks for ML systems
- Strong communication skills - able to distill complex trade-offs into crisp decisions for technical and non-technical audiences
Bonus
Benefits & Perks
go.atlassian.com/perksandbenefits
go.atlassian.com/crh
Not included in the source posting: what you'll do, qualifications.
Skills
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