Senior Machine Learning Engineer, Sentry Tower

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. About the Team The Counter Intrusion MSE team develops systems that provide force protection capabilities, monitoring the perimeter of secure areas, land or sea, for approaching people, vehicles, and vessels. We live in a world where security officers are increasingly overwhelmed by sensor data feeds. Our products leverage advanced sensor fusion and autonomy to seamlessly render activity in the environment to Lattice's common operating picture. This relieves operators of our system from a ton of burden and allows our customers to get more done with fewer personnel. Increasingly, Counter Intrusion MLEs are working on projects to bring customers' existing legacy security systems into the Lattice ecosystem. Key to this effort is building scalable software solutions so that we can service many customers without requiring bespoke software for each one. The Counter Intrusion team is responsible for the development, testing, deployment, and sustainment of our family of systems. We work closely with other teams from product, engineering, sales, logistics, operations, and mission success. About the Role We are looking for a Machine Learning Engineer to apply the latest research to solve our toughest problems. This role will be responsible for owning the whole machine learning stack for the Counter Intrusion team. You will design and train multi-sensor object detection models for perception on edge compute devices that push the boundaries of what's possible with our sensors. You will develop learning algorithms to optimize the behavior of autonomous systems. You will also be responsible for the end-to-end design, implementation, and performance of the ML stack, including the infrastructure for data collection and training. Your work will directly impact Anduril's ability to deliver cutting-edge defense technology, with the opportunity to identify and develop novel ML applications across our product portfolio. Responsibilities Propose and prototype innovative solutions to solve real-world problems, leveraging the latest state-of-the-art techniques in the field Develop and maintain core ML pipelines Train and deploy deep learning models for real-time applications Collaborate cross-functionally with camera, systems and labeling teams Curate datasets for evaluating performance and comparing performance trends over time Provide technical mentorship to other junior ML engineers Required Qualifications MS or PhD in Machine Learning, Robotics or Computer Science, with emphasis on Computer Vision BS in Computer Science, Machine Learning, Electrical Engineering, or related field 6+ years of experience developing, benchmarking and optimizing ML algorithms on large-scale datasets Strong Deep Learning and CV background Proficiency in C++ development in a Linux environment Experience with Python development and deep learning frameworks such as PyTorch, JAX and TensorFlow Experience deploying models with TensorRT and ONNX Optimize on-device inference and vision kernels across CPU/GPU/NPU Track record of developing and deploying CV models from R&D to production Experience writing and maintaining automated continuous integration tests Knowledge of system profiling and tuning for latency, memory and power efficiency Ability to conduct experimen