We're hiring a Staff Engineer (ML) to join our Test Engine team, responsible for defining and leading the technical strategy for machine learning within Test Engine, specifically building the models and infrastructure behind predictive test selection.
Requirements
- Deep proficiency in Python, with strong experience building production ML systems end-to-end
- Proven experience designing and operating ML infrastructure at scale — model registries, feature stores, serving layers, experiment tracking, or similar
- Strong experience with data processing at scale — whether batch or streaming frameworks (Spark, Flink, or similar)
- Deep proficiency in SQL
- Comfort working in cloud environments (AWS) and with containerised workloads (Docker, Kubernetes)
- Hands-on experience training, evaluating, and deploying ML models in production
- Experience with classification, ranking, or prediction problems where the signal-to-noise ratio is challenging
- Track record of building ML capabilities that scaled beyond a single use case
- Experience with feature engineering from structured and semi-structured data (code diffs, execution logs, dependency graphs, or similar)
- Experience instrumenting production models with observability: accuracy, latency, coverage, drift
- Excellent written and verbal communication skills, especially in a remote-first environment
- Ability to distil complex technical concepts into clear explanations for diverse audiences
- Collaborative, pragmatic mindset — balancing technical quality with business context
- Comfortable mentoring engineers and leading technical discussions across teams
- Proven ability to build alignment across teams and influence technical direction without authority
Benefits
- Competitive compensation, including salary, equity, and benefits package
- Flexible, remote-first culture (Remote in the ANZ & PST Regions)
- Meaningful technical challenges at scale
- Opportunities for professional growth, technical leadership, and cross-team influence
- A collaborative, inclusive, and innovative culture where your ideas make a real impact
