Machine Learning Engineer
Sydney
Applications have closed
Anduril Industries
Transforming US & allied military capabilities with advanced technology.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)
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture Computer Science Computer Vision Data analysis Deep Learning Docker Engineering JavaScript Kubeflow Linux Machine Learning Microservices ML models Model deployment Model training OpenCV Python PyTorch Security TensorRT Testing
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