Senior Machine Learning Engineer, Sentry Tower

Anduril Industries; United States; On-site; USD 120,000 - 150,000; Full time

Job summary

Anduril Industries is seeking a Machine Learning Engineer to develop and optimize multi-sensor object detection models for defense technology applications. This role involves ownership of the entire ML stack and collaboration across teams to enhance product performance. The ideal candidate should have 6+ years of experience in ML with a strong background in deep learning and computer vision, along with proficiency in C++ and Python. This position is vital to driving innovation in military technology through advanced AI solutions.

Qualifications

• Eligible to obtain and maintain a U.S. Secret security clearance.
• 6+ years of experience developing, benchmarking and optimizing ML algorithms on large-scale datasets.
• Experience writing and maintaining automated continuous integration tests.

Responsibilities

• Propose and prototype innovative solutions to solve real-world problems.
• Develop and maintain core ML pipelines.
• Train and deploy deep learning models for real-time applications.

Skills

Deep Learning

Computer Vision

C++ development

Python development

ML algorithms optimization

Data collection and training

Education

MS or PhD in Machine Learning, Robotics or Computer Science

BS in Computer Science, Machine Learning, Electrical Engineering

Tools

TensorRT

ONNX

PyTorch

JAX

TensorFlow

Job description

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

• Eligible to obtain and maintain a U.S. Secret security clearance
• 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

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