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Senior Machine Learning/Machine Learning Operations Engineer
2 months ago
Job Summary:
Anduril Industries, Inc. is a leading defense technology company that aims to revolutionize the military industry with cutting-edge technology. We are seeking a highly skilled Senior Machine Learning/Machine Learning Operations Engineer to join our team.
About the Role:
We are looking for a seasoned professional with expertise in designing, developing, and deploying machine learning models for perception and data pipelines. The ideal candidate will have a strong background in machine learning operations, including data acquisition, labeling, data curation, pipeline management, continuous integration, model versioning, and monitoring.
Key Responsibilities:
- Lead the design, development, integration, and support of machine learning models for perception and data pipelines for various 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.
Requirements:
- Bachelor's degree in Robotics, Mechatronics, Computer Science, Engineering, or 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.
- 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.
- Desire to grow into a Tech-Lead-Manager role, with responsibility for line management of engineers, in addition to delivery.
