Job Description

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Senior Machine Learning Engineer at Anduril Industries

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Anduril Industries is a defense technology company focused on transforming military capabilities with advanced technology. By applying 21st‑century innovation to defense, we build autonomous systems powered by Lattice OS , an AI‑driven operating system that turns data streams into a real‑time 3D command and control center.

What You’ll Do n

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- Lead the design, development, integration and support of machine learning models for perception and data pipelines across multiple sensor modalities.
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- Develop software to manage and automate the ML lifecycle, including data management, pipelining, labeling, and training.
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- Manage model selection, training, validation, evaluation, deployment, and regression testing.
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- Handle training data sourcing, integration, and quality assurance.
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- Create tools and processes for machine learning in a classified environment.
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- Collaborate with cross‑functional teams—software, mechanical, and systems engineers—to ensure effective integration and testing.
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Required Qualifications nn
- Bachelor’s degree in Robotics, Mechatronics, Computer Science, Engineering, or a related field.
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- Senior‑level experience delivering production‑grade software systems with mature ML components.
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- Experience designing, implementing, and maintaining ML Operations, including data acquisition, labeling, curation, pipeline management, CI, model versioning, and monitoring.
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- Ability to collaborate with data scientists and stakeholders on robust validation and verification strategies.
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- Experience delivering computer‑vision capabilities from data to model.
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- Capacity to work holistically on ML‑enabled capabilities throughout the software lifecycle.
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- Ability to mentor junior team members and build team cohesion.
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- Eligible to obtain and maintain an Australian Government Negative Vetting 2 security clearance (NV2).
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Preferred Qualifications nn
- Experience delivering capabilities to public‑sector customers.
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- Experience with workflow management tools such as flyte, airflow, or kubeflow.
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- Experience with PyTorch or other deep‑learning frameworks.
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- Experience with edge ML applications and inference engines such as TensorRT.
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- Proficiency in C++, Go, Python, or Rust.
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- Knowledge of data management and traceability techniques for reproducibility.
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- Desire to grow into a Tech‑Lead‑Manager role with line‑management responsibilities.
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Healthcare Benefits n

The salary range for this role is an estimate based on a wide range of compensation factors, including but not limited to work experience, education, and training. Actual offer may vary.

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- US roles: Comprehensive medical, dental,



and vision plans at little to no cost.
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- UK & AUS roles: Full cost of medical insurance premiums covered.
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- IE roles: Annual contribution toward private health insurance.
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Additional Benefits nn
- Income protection: life and disability insurance for all employees.
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- Generous PTO with a holiday hiatus in December; caregiver & wellness leave available.
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- Family planning & parenting support, including fertility treatments, adoption, and gestational carriers.
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- Mental health resources: free 24/7 therapy, life coaching, legal, and financial support.
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- Career development reimbursement.
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- Commuter benefits funded by the company.
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- Relocation assistance (role eligible).
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Retirement Savings Plan nn
- US roles: 401(k), Roth, and after‑tax options.
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- UK & IE roles: Pension plan with employer match.
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- AUS roles: Superannuation plan.
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The recruiter assigned to this role can share more information about specific compensation and benefit details during the hiring process.

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To view Anduril's candidate data privacy policy, please visit applicant-privacy-notice/.

Seniority Level n

Mid‑Senior level

Employment Type n

Full‑time

Job Function n

Engineering and Information Technology

Industries n

Defense and Space Manufacturing

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Anduril is an equal‑opportunity employer and encourages 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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📌 Senior Machine Learning Engineer (Sydney)
🏢 Anduril Industries
📍 Sydney