Senior ML Engineer - Real-Time CV on Edge AI

Anduril Industries, Inc.; Irvine (CA); On-site; USD 220,000 - 292,000; Full time

Job summary

Anduril Industries, a defense technology company in Irvine, CA, is seeking a Machine Learning Engineer to own the full ML stack for the Counter Intrusion team. You will design and train multi-sensor object detection models for edge devices and develop learning algorithms to optimize autonomous systems.

You will implement end-to-end ML infrastructure, data collection, and training, with impact on cutting-edge defense tech and opportunities to apply novel ML across products.

Qualifications

• MS or PhD in Machine Learning, Robotics, or Computer Science with CV emphasis.
• BS in CS, ML, EE, or related field.
• 6+ years with ML algorithms on large datasets.
• Strong Deep Learning and CV background.
• Proficiency in C++ in a Linux environment.
• Experience with PyTorch, JAX, TensorFlow.
• Experience deploying models with TensorRT and ONNX.
• On-device inference optimization for CPU/GPU/NPU.
• Experience deploying CV models from R&D to production.
• Eligibility to obtain US Secret security clearance.

Responsibilities

• Propose and prototype ML solutions for defense systems.
• 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 trends.
• Provide technical mentorship to junior ML engineers.

Skills

Machine Learning

Robotics

Computer Vision

C++

Python

PyTorch

TensorFlow

ONNX

TensorRT

Linux

CI/CD

Security clearance

Education

MS or PhD in ML/Robotics/CS

BS in CS/ML/EE or related

Tools

TensorRT

ONNX

PyTorch

JAX

TensorFlow

Linux

Job description

Anduril Industries, a defense technology company in Irvine, CA, is seeking a Machine Learning Engineer to own the full ML stack for the Counter Intrusion team. You will design and train multi-sensor object detection models for edge devices and develop learning algorithms to optimize autonomous systems.

You will implement end-to-end ML infrastructure, data collection, and training, with impact on cutting-edge defense tech and opportunities to apply novel ML across products.