Senior Machine Learning Engineer

3 weeks ago

Sydney, New South Wales, Australia Anduril Industries, Inc. Full time
Job Title: Senior Machine Learning Engineer

We are seeking a highly skilled Senior Machine Learning Engineer to join our team at Anduril Industries, Inc. in Australia. As a Senior Machine Learning Engineer, you will be responsible for designing, developing, and deploying machine learning models for perception and data pipelines for various autonomous systems across multiple sensor modalities.

Key Responsibilities:
  • Lead the design, development, integration, and support of machine learning models for perception and data pipelines.
  • 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 to ensure effective system integration and testing.
Requirements:
  • Bachelor's degree in Robotics, Mechatronics, Computer Science, Engineering, or a relevant field.
  • 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.
  • Capacity to learn and grow individually, while mentoring junior team members effectively.
  • Ability to obtain and maintain an Australian Government Security Clearance.
Preferred Qualifications:
  • Experience with the delivery of capability with a public sector customer.
  • Experience with workflow management tools such as Flyte, Airflow, and Kubeflow.
  • Experience with deep learning frameworks such as PyTorch.
  • Experience with edge ML applications.
  • Experience with inference engines such as TensorRT.
  • Experience writing C++, Go, Python, or Rust.
  • Proficiency in data management and traceability techniques to maintain high-quality datasets and enable reproducibility of experiments and results.

We are an equal-opportunity employer, and we encourage candidates from all backgrounds to apply. If you are passionate about working on problems that matter, we'd love to hear from you.

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