Senior Machine Learning Engineer, Anduril Industries

• 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
• 4+ years experience developing and benchmarking ML algorithms on large-scale datasets
• High proficiency in C++ development in a Linux environment
• Experience deploying models with TensorRT and ONNX
• Experience with Python development and deep learning frameworks such as PyTorch and TensorFlow
• Experience writing and maintaining automated continuous integration tests
• Experience in one or more of the following:
• Object Detection, Object Tracking, Instance Segmentation, Semantic Segmentation, Semantic change Detection
• Visual Odometry, SLAM, Multi-view Geometry, Structure from Motion, 3D Geometry, Discriminative Correlation Filters, Stereo, Neural 3D Reconstruction, RGB-D and LIDAR Sensor Fusion
• Eligible to obtain and maintain an active U.S. Secret security clearance

Desirable

• The Tactical Recon and Strike (TRS) team at Anduril develops aerial small drones (Group 1-3) and all equipment to test, deploy and operate. The team is responsible for taking products like Ghost, Anvil, Bolt and Altius from paper sketches to operational systems. We work in close coordination with specialist teams to solve some of the hardest problems facing our customers
• We are looking for a Computer Vision / Machine Learning Engineer to apply the latest research to solve our toughest problems
• 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 libraries and runtime applications
• Integrate classical and geometric methods in computer vision with ML methods
• Work with ML and Data Infra team to construct various benchmarks for analyzing system performance