Senior Machine Learning/MLOps Engineer - Join Anduril Australia

Company: Anduril Industries

Location: Australia

Job Title: Senior Machine Learning/MLOps Engineer

About Anduril Industries

Anduril Industries is a leading defense technology company on a mission to revolutionize U.S. and allied military capabilities with cutting-edge technology. Our innovative approach, combining Silicon Valley expertise, technology, and business models, is redefining how military systems are designed, built, and deployed.

Our Vision and Innovations

Anduril's family of advanced systems is powered by Lattice OS, an AI-driven operating system that transforms vast data streams into a real-time, 3D command and control center. As global strategic competition intensifies, our commitment to delivering cutting-edge technologies in autonomy, AI, computer vision, sensor fusion, and networking remains unwavering.

Join Us at Anduril Australia

We are expanding internationally and are looking for a Senior Machine Learning Engineer to join our team in Australia. This role focuses on developing un-crewed maritime and air domain systems using unsupervised autonomy to deliver long-duration, multi-mission capabilities. Projects include the Extra Large Autonomous Undersea Vehicle (XL-AUV) Program.

What You'll Do

• Lead the design, development, integration, and support of machine learning models for perception and data pipelines across various autonomous systems.
• Create software to manage and automate the ML lifecycle, including data management, pipelining, labeling, and training.
• Oversee model selection, training, validation, evaluation, deployment, and regression testing.
• Manage training data sourcing, integration, and quality control.
• Develop tools and processes for machine learning in classified environments.
• Collaborate with cross-functional teams to ensure effective system integration and testing.

Required Qualifications

• Bachelor’s degree in Robotics, Mechatronics, Computer Science, Engineering, or equivalent experience.
• Senior-level experience in delivering a production-grade software system with a mature ML component.
• Experience with ML operations including data acquisition, labeling, data curation, pipeline management, and continuous integration.
• Collaboration skills with data scientists and stakeholders to implement robust validation and verification strategies.
• Experience in delivering computer vision capabilities and working holistically on ML-enabled capabilities throughout the software stack lifecycle.
• Capacity to learn and mentor effectively, fostering team cohesion and growth.
• Ability to obtain and maintain an Australian Government Security Clearance.

Preferred Qualifications

• Experience working with public sector customers.
• Proficiency with workflow management tools such as Flyte, Airflow, and Kubeflow.
• Experience with deep learning frameworks like PyTorch.
• Knowledge of edge ML applications and inference engines such as TensorRT.
• Proficiency in programming languages like C++, Go, Python, or Rust.
• Strong data management and traceability techniques to ensure reproducibility.
• Aspirations to grow into a Tech-Lead-Manager role with line management responsibilities.

Why Anduril?

Anduril is an equal-opportunity employer committed to creating a diverse and inclusive workplace. We encourage candidates from all backgrounds to apply. Our highly competitive compensation package includes:

• Platinum Healthcare Benefits: Coverage varies by country but offers comprehensive medical, dental, and vision insurance.
• Private Medical Insurance for UK and AUS roles, covering employees and dependents.
• Fully covered Life/AD&D and long-term disability insurance.
• Generous PTO plans and holiday calendar, including paid Caregiver & Wellness Leave.
• Family Planning & Parenting Support.
• Free mental health resources and work-life services.
• Professional development stipend for all employees.
• Daily meals and commuter benefits depending on the region.
• Relocation assistance and 401(k) retirement savings plan (US roles only).