Senior Machine Learning Engineer

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology.

At Anduril Australia, we are developing un-crewed maritime and air domain systems that leverage unsupervised autonomy for the delivery of long endurance, multi-mission capability to our customers.

As a Senior Machine Learning Engineer, you will 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.

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.

Required 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 the 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).

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.

Anduril is an equal-opportunity employer, and we encourage candidates from all backgrounds to apply.

The salary range for this role is highly competitive, with actual salary offer varying based on work experience, education, and business considerations. Highly competitive equity grants are included in the majority of full-time offers. Additionally, Anduril offers top-tier benefits for full-time employees.