Senior Machine Learning Engineer at Anduril Industries
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
* Lead the design, development, integration and support of machine learning models for perception and data pipelines across multiple sensor modalities.
* Develop software to manage and automate the ML lifecycle, including data management, pipelining, labeling, and training.
* Manage model selection, training, validation, evaluation, deployment, and regression testing.
* Handle training data sourcing, integration, and quality assurance.
* Create tools and processes for machine learning in a classified environment.
* Collaborate with cross‐functional teams—software, mechanical, and systems engineers—to ensure effective integration and testing.
Required Qualifications
* Bachelor's degree in Robotics, Mechatronics, Computer Science, Engineering, or a related field.
* Senior‐level experience delivering production‐grade software systems with mature ML components.
* Experience designing, implementing, and maintaining ML Operations, including data acquisition, labeling, curation, pipeline management, CI, model versioning, and monitoring.
* Ability to collaborate with data scientists and stakeholders on robust validation and verification strategies.
* Experience delivering computer‐vision capabilities from data to model.
* Capacity to work holistically on ML‐enabled capabilities throughout the software lifecycle.
* Ability to mentor junior team members and build team cohesion.
* Eligible to obtain and maintain an Australian Government Negative Vetting 2 security clearance (NV2).
Preferred Qualifications
* Experience delivering capabilities to public‐sector customers.
* Experience with workflow management tools such as flyte, airflow, or kubeflow.
* Experience with PyTorch or other deep‐learning frameworks.
* Experience with edge ML applications and inference engines such as TensorRT.
* Proficiency in C++, Go, Python, or Rust.
* Knowledge of data management and traceability techniques for reproducibility.
* Desire to grow into a Tech‐Lead‐Manager role with line‐management responsibilities.
Healthcare Benefits
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.
* US roles: Comprehensive medical, dental, and vision plans at little to no cost.
* UK & AUS roles: Full cost of medical insurance premiums covered.
* IE roles: Annual contribution toward private health insurance.
Additional Benefits
* Income protection: life and disability insurance for all employees.
* Generous PTO with a holiday hiatus in December; caregiver & wellness leave available.
* Family planning & parenting support, including fertility treatments, adoption, and gestational carriers.
* Mental health resources: free 24/7 therapy, life coaching, legal, and financial support.
* Professional development reimbursement.
* Commuter benefits funded by the company.
* Relocation assistance (role eligible).
Retirement Savings Plan
* US roles: 401(k), Roth, and after‐tax options.
* UK & IE roles: Pension plan with employer match.
* AUS roles: Superannuation plan.
The recruiter assigned to this role can share more information about specific compensation and benefit details during the hiring process.
To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.
Seniority Level
Mid‐Senior level
Employment Type
Full‐time
Job Function
Engineering and Information Technology
Industries
Defense and Space Manufacturing
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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