ML Expert Leader

1 week ago

Melbourne, Victoria, Australia beBeeEngineer Full time $120,000 - $150,000
Machine Learning Engineer Lead

We are seeking a skilled Machine Learning Engineer to oversee the development and maintenance of our large-scale ML feature pipelines and services. As a seasoned engineer, you will help scale high-demand systems to meet the needs of various teams across multiple platforms.

  • Own and maintain mission-critical ML feature computation and serving systems supporting millions of daily requests.
  • Design and build next-generation ML feature platforms to enable faster iteration and higher-quality models.
  • Partner closely with Data Scientists, ML Modelers, and Software Engineers to deliver reliable, performant, and scalable systems.
  • Drive architectural decisions, system reliability improvements, and infrastructure automation.
  • Mentor junior engineers on best practices in distributed systems, feature engineering, and ML infrastructure.
  • Champion engineering excellence through code reviews, technical documentation, and continuous improvement.
Requirements
  • 5+ years of experience in software engineering, with at least 3+ in large-scale data or ML infrastructure.
  • Strong proficiency in programming languages such as Java, Python, Kotlin, or Go.
  • Experience building and operating distributed data systems at scale (e.g., Spark, Flink, Kafka, Databricks, Snowflake).
  • Proven ability to design for high performance, scalability, and reliability.
  • Deep knowledge of cloud infrastructure and containerized systems.
  • Strong collaboration skills and ability to work cross-functionally with ML practitioners and infrastructure engineers.
  • Experience mentoring junior engineers and driving technical direction on complex projects.
Nice to Have
  • Familiarity with ML workflows, platforms, and systems.
  • Experience building or maintaining ML batch or real-time feature systems.
  • Background in MLOps, experimentation platforms, or ML observability.
Benefits

We offer a range of benefits to support your career growth and well-being, including remote work options, medical insurance, flexible time off, retirement savings plans, and modern family planning.

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