Senior Edge AI Vision Engineer

andurilindustries

United States

Remote

USD 180,000 - 240,000

Full time

14 days+

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Job summary

Anduril Industries seeks a senior ML engineer to own the machine learning stack for perception and autonomy systems around secured perimeters. You will develop and deploy real-time models on edge devices, focusing on reliable performance in operational environments.

You will prototype ML approaches, build pipelines, train and optimize models, and mentor junior engineers while collaborating with camera and systems teams. A graduate CV-focused degree plus strong vision and DL skills are required.

Qualifications

  • Six+ years building and optimizing ML algorithms on large datasets.
  • Graduate degree in ML/robotics/CS with CV focus, plus an undergrad in a related field.
  • Strong CV and DL skills; production experience deploying models.

Responsibilities

  • Prototype and evaluate ML approaches for perception and autonomy.
  • Build data, training, and evaluation pipelines; curate datasets to track model performance over time.
  • Train, optimize, and deploy deep learning models for real-time use on edge hardware.
  • Collaborate with camera, systems, and data-labeling specialists to assess models.
  • Profile deployed systems and improve inference speed, memory and power use.
  • Provide technical guidance to less experienced ML engineers.

Skills

Computer vision
Deep learning
Latency optimization
Experimentation
Team guidance

Education

Graduate degree in ML/robotics/CS with CV focus
Undergraduate degree in related field

Tools

PyTorch
JAX
TensorFlow
TensorRT
ONNX
Python
C++
Linux

Job description

Anduril Industries seeks a senior ML engineer to own the machine learning stack for perception and autonomy systems around secured perimeters. You will develop and deploy real-time models on edge devices, focusing on reliable performance in operational environments.

You will prototype ML approaches, build pipelines, train and optimize models, and mentor junior engineers while collaborating with camera and systems teams. A graduate CV-focused degree plus strong vision and DL skills are required.

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