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Senior Machine Learning Engineer

Anduril· Maritime & Maneuver Dominance : Undersea Dominance - Engineering & Operations
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Sydney, NSWPosted 9mo ago

About the role

Senior Machine Learning Engineer responsible for architecting, delivering, and sustaining ML-enabled perception, data pipelines, and lifecycle tooling for autonomous systems across multiple sensor modalities, with work spanning from data management to deployment in a classified environment.

Responsibilities

  • Lead the design, development, integration and support of machine learning models for perception and data pipelines for a variety of autonomous systems across multiple sensor modalities
  • Develop software to manage and automate the machine learning lifecycle, including data management, pipelining, labeling and training
  • Manage model selection, training, validation, evaluation, deployment and regression testing
  • Manage training data sourcing and integration, and quality
  • Develop tools and processes for machine learning in a classified environment
  • Collaborate with cross-functional teams, including software engineers, mechanical engineers, and systems engineers, to ensure effective system integration and testing

Qualifications

  • Bachelor’s degree in Robotics, Mechatronics, Computer Science, Engineering, a relevant field, or equivalent experience
  • Experience in a senior role with the delivery of a production grade software system with a mature machine learning component
  • Experience with the design, implementation and maintenance of ML Operations, including data acquisition, labeling, data curation, pipeline management, continuous integration, model versioning, and monitoring
  • Ability to collaborate with data scientists and stakeholders to define and implement robust validation and verification strategies
  • Experience with the delivery of computer vision capabilities, from the data side as well as the model side
  • Capacity to work holistically on machine learning enabled capabilities up and down the software stack and through lifecycle through design, implementation, operation and sustainment
  • Capacity to learn and grow individually, while mentoring junior team members effectively, building team cohesion and capacity
  • Eligible to obtain and maintain an Australian Government Negative Vetting 2 security clearance (NV2)

Skills

Required:Machine learning model developmentML Operations (MLOps)Data management and labelingSoftware tooling for ML lifecycleCross-functional collaboration

Benefits

  • Benefits package included (top-tier)
  • Equity grants included in majority of full-time offers
  • Health, recovery, and related support benefits as part of comprehensive package
Last updated Jul 8, 2026. Interested? Apply on the company site.

About Anduril

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