Staff Ml Engineer

Buildkite

ANZ Region
On-site
Python proficiency for production ml systems
Ml infrastructure design at scale
Data processing with spark or flink
Buildkite is seeking a Staff ML Engineer to lead the technical strategy for machine learning within their Test Engine team. The role involves defining and implementing predictive test selection models, managing the ML architecture, and ensuring operational efficiency. The ideal candidate will have strong expertise in ML systems and a hands-on approach to engineering challenges

Job Summary

  • This role involves defining the technical strategy for machine learning within the Test Engine team to build predictive models for test selection.
  • The successful candidate will lead the end-to-end design of ML architecture, from feature engineering to serving infrastructure and feedback loops.
  • Buildkite's platform is trusted by leading engineering teams shipping software to over 1 billion daily users, offering a high-impact environment.

Matching Summary

Match Score: 85

Buildkite is seeking a Staff ML Engineer to lead the technical strategy for machine learning within their Test Engine team. The role involves defining and implementing predictive test selection models, managing the ML architecture, and ensuring operational efficiency. The ideal candidate will have strong expertise in ML systems and a hands-on approach to engineering challenges.

Skills & Requirements

Must-have

  • Python proficiency for production ML systems
  • ML infrastructure design at scale
  • Data processing with Spark or Flink
  • Deep SQL expertise
  • AWS cloud and Kubernetes experience
  • End-to-end model deployment ownership

Nice-to-have

  • Experience with classification and ranking problems
  • Knowledge of anomaly detection techniques
  • Background in change-point detection
  • Mentorship and knowledge sharing skills
  • Customer-facing technical communication

Key Requirements

  • Senior-level ML practitioner status
  • Proven track record in production ML systems
  • Experience with large-scale data pipelines

Work Rights

Not specified

Tailored Resume

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