[Hiring] Senior Computer Vision Engineer @Anduril

Role Description

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.
• Develop learning algorithms to optimize the behavior of autonomous systems.
• Be responsible for the end-to-end design, implementation, and performance of the ML stack, including the infrastructure for data collection and training.
• Directly impact Anduril's ability to deliver cutting-edge defense technology.
• 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.

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 experiments, ablation studies, and create highly detailed reports.
• Eligible to obtain and maintain a U.S. Secret security clearance.

Preferred Qualifications

• Experience in one or more of the following:
  • Object Detection
  • Object Tracking
  • Instance Segmentation
  • Semantic Segmentation
  • Semantic Change Detection
  • Depth Estimation
  • Model Pruning and Compression
• Experience in one or more of the following:
  • Visual Odometry
  • SLAM
  • Multi-view Geometry
  • Camera Models
  • RGB-D and LIDAR Sensor Fusion
  • Optical Flow
• Experience troubleshooting and analyzing remotely deployed software systems.
• 1 year of experience in a technical leadership role.

US Hourly Range

$220,000 - $292,000 USD

Benefits

• Comprehensive, competitive benefits package available at little to no cost to employees.
• Support in health, recovery, and future needs.