Senior Machine Learning Engineer

Responsibilities

• Lead 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
• 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
• REQUIRED QUALIFICATIONS
• Bachelor's degree in Robotics, Mechatronics, Computer Science, Engineering, 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 lifecycle through design, implementation, operation and sustainment
• Capacity to learn and grow individually, while mentoring junior team members effectively, building team cohesion and capacity
• Eligible to obtain and maintain an Australian Government Negative Vetting 2 security clearance (NV2)

Requirements

• 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 in to a Tech-Lead-Manager role, with responsibility for line management of engineers, in addition to delivery
• 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!

Benefits

Additional Information

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. At Anduril Australia we are developing un-crewed maritime and air domain systems that leverage unsupervised autonomy for the delivery of long endurance, multi-mission capability to our customers. These projects, including but not limited to the Extra Large Autonomous Undersea Vehicle (XL-AUV) Program, require a Senior Machine Learning Engineer with deep experience developing, testing, validating and deploying machine-learning based sensor processing and the technical toolchains they rely on. The Senior Machine Learning Engineer strives to leverage their experience to rapidly architect, design, deliver, support, and evolve next generation autonomous vehicles through the entire product life-cycle.

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