Anduril is a defence technology company, bringing Silicon Valley talent and funding to the defence sector. Our technology helps our customers solve their toughest challenges by enabling them to make better, more informed decisions in life-and-death situations. We’ve assembled a diverse team of experts in artificial intelligence, computer vision, sensor fusion, optics, and data analysis that are creating software and hardware solutions to radically evolve the capabilities of the Australia and our allies. If you are passionate about solving problems that have real impact, come join Anduril and build the future of defence.

WHAT YOU’LL DO:

Develop software to manage and automate the machine learning lifecycle
Build Data pipelining
Create Data annotation tooling
Automation of Model Training
Model Evaluation and Regression Testing
Model Validation
Model Deployment

REQUIRED QUALIFICATIONS:

B.S. or M.S. in Computer Science or related field
3+ years experience developing production grade software
Passion for automating machine learning workflows
Interest in working on challenging engineering problems related to machine learning, computer vision, image and video processing
Proficiency in Python, Docker, CircleCI and Linux
Experience or familiarity working with microservices architecture
Experience with C++
Ability to obtain an NV2 security clearance

PREFERRED QUALIFICATIONS:

Automating various aspects of the machine learning lifecycle
Deploying quality machine learning models in production
Workflow management tools such as airflow, kubeflow, etc.
PyTorch, or other deep learning frameworks
Image processing libraries such as OpenCV
C++ for edge ML applications
C++ inference engines such as TensorRT
Go programming language
Front-end UI / Javascript
developing and working with gRPC services
Multithreading and multiprocessing
Knowledge of and experience with NixOS (http://nixos.org)

Anduril is an equal-opportunity employer, and we encourage candidates from all backgrounds to apply. If you are someone passionate to work on problems that matter, we’d love to hear from you!

Machine Learning Engineer