Senior Machine Learning Engineer, Sentry Tower

Anduril Industries

Remote

Quick summary

Work type
Remote
Location
Irvine, CA
Salary
$220,000–$330,000 / yr
Posted
today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $220k
This role $275k
$166k most similar roles pay here $348k

This role pays more than 82% of similar roles. Most pay $183,752–$256,700 — the shaded band above. At the midpoint, this role pays about $275k versus about $220k for comparable roles.

Based on 240 similar postings.

Employer

About Anduril Industries

Anduril Industries is a defense technology company that builds advanced hardware and software systems for national security, including autonomous drones, surveillance systems, and the Lattice AI command platform.

Anduril Industries currently has 1882 open roles on FindRole.

Listed pay typically runs $146,000–$194,000 across 1696 roles with salary data.

Most-posted roles

View all roles at Anduril Industries

At a glance

TL;DR · Senior Machine Learning Engineer, Sentry Tower

As a Senior Machine Learning Engineer at Anduril's Counter Intrusion MSE team, you will lead the development of advanced sensor fusion and autonomy systems to enhance security operations. Your daily tasks include designing multi-sensor object detection models for edge devices, developing learning algorithms for autonomous system optimization, and maintaining ML pipelines from data collection to deployment. You will work closely with cross-functional teams to integrate legacy security systems into Anduril’s ecosystem, ensuring scalable software solutions. Essential skills include a strong background in deep learning and computer vision, proficiency in C++ and Python, experience with frameworks like PyTorch and TensorFlow, and the ability to deploy models using TensorRT and ONNX. This role demands expertise in system profiling for efficiency and a track record of transitioning R&D projects to production environments.

What you'll do

  • Design and train multi-sensor object detection models for real-time applications.
  • Develop learning algorithms to optimize autonomous system behavior.
  • Maintain core ML pipelines and infrastructure for data collection and training.
  • Curate datasets to evaluate performance trends over time.
  • Provide technical mentorship to junior ML engineers.

What we're looking for

  • MS or PhD in Machine Learning, Robotics, or Computer Science with emphasis on Computer Vision.
  • 6+ years of experience developing, benchmarking, and optimizing ML algorithms on large-scale datasets.
  • Strong background in Deep Learning and Computer Vision.
  • Proficiency in C++ development in a Linux environment and Python with deep learning frameworks like PyTorch, JAX, TensorFlow.
  • Experience deploying models using TensorRT and ONNX for optimized inference across CPU/GPU/NPU.
  • Track record of developing and deploying CV models from R&D to production.

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