Senior Machine Learning/Machine Learning Operations Engineer
2 months ago
About BlueWing Ventures, LLC.
We are a cutting-edge technology company that specializes in developing innovative solutions for the defense industry. Our mission is to transform the way military systems are designed, built, and sold by bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry.
Job Summary
We are seeking a highly skilled Senior Machine Learning/Machine Learning Operations Engineer to join our team. The successful candidate will be responsible for leading the design, development, integration, and support of machine learning models for perception and data pipelines for a variety of autonomous systems across multiple sensor modalities.
Key Responsibilities
- Develop software to manage and automate the machine learning lifecycle, including data management, pipelining, labeling, and training.
- Manage model selection, training, validation, evaluation, deployment, and regression testing.
- Manage training data sourcing and integration, and quality.
- Develop tools and processes for machine learning in a classified environment.
- Collaborate with cross-functional teams, including software engineers, mechanical engineers, and systems engineers, to ensure effective system integration and testing.
Requirements
- Bachelor's degree in Robotics, Mechatronics, Computer Science, Engineering, or a relevant field, or equivalent experience.
- Experience in a senior role with the delivery of a production-grade software system with a mature machine learning component.
- Experience with the design, implementation, and maintenance of ML Operations, including data acquisition, labeling, data curation, pipeline management, continuous integration, model versioning, and monitoring.
- Ability to collaborate with data scientists and stakeholders to define and implement robust validation and verification strategies.
- Experience with the delivery of computer vision capabilities, from the data side as well as the model side.
- Capacity to work holistically on machine learning-enabled capabilities up and down the software stack and through the lifecycle from design, implementation, operation, and sustainment.
- Capacity to learn and grow individually while mentoring junior team members effectively, building team cohesion and capacity.
- Ability to obtain and maintain an Australian Government Security Clearance.
Preferred Qualifications
- Experience with the delivery of capability with a public sector customer.
- Experience with workflow management tools such as flyte, airflow, and kubeflow.
- Experience with deep learning frameworks such as PyTorch.
- Experience with edge ML applications.
- Experience with inference engines such as TensorRT.
- Experience writing C++, Go, Python, or Rust.
- Proficiency in data management and traceability techniques to maintain high-quality datasets and enable reproducibility of experiments and results.
- Desire to grow into a Tech-Lead-Manager role, with responsibility for line management of engineers, in addition to delivery.
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