Senior Computer Vision Engineer

andurilindustries; USA; Remote; USD 180.000 - 240.000; Vollzeit

Zusammenfassung

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.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Computer vision

Deep learning

Latency optimization

Experimentation

Team guidance

Ausbildung

Graduate degree in ML/robotics/CS with CV focus

Undergraduate degree in related field

Tools

PyTorch

JAX

TensorFlow

TensorRT

ONNX

Python

C++

Linux

Jobbeschreibung

Role overview

Own the machine learning stack for systems that detect activity around secured land and sea perimeters. The work spans computer vision research, multi-sensor perception, data and training pipelines, and deployment of real-time models on edge devices, with a focus on reliable performance in operational environments.

Responsibilities

• Prototype and evaluate modern machine learning approaches to practical perception and autonomy problems.
• Build and maintain 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.
• Work with camera, systems, and data-labeling specialists to develop and assess models.
• Profile deployed systems and improve inference speed, memory use, and power efficiency.
• Provide technical guidance to less experienced machine learning engineers.

Requirements

• At least six years developing, benchmarking, and optimizing machine learning algorithms on large datasets.
• Graduate degree in machine learning, robotics, or computer science with a computer vision focus, plus an undergraduate degree in a related technical field.
• Strong computer vision and deep learning skills, with production experience taking models from research through deployment.
• C++ proficiency in Linux and Python experience with frameworks such as PyTorch, JAX, or TensorFlow.
• Experience deploying with TensorRT and ONNX, optimizing inference across CPUs, GPUs, or NPUs, and maintaining automated tests.
• Ability to run experiments and ablation studies, document findings, and tune systems for latency, memory, and power; eligible to obtain and maintain a U.S. Secret clearance.

Nice to have

Experience with detection, tracking, segmentation, depth estimation, model compression, visual odometry, SLAM, camera models, optical flow, or RGB-D/LiDAR fusion. Remote system troubleshooting and at least one year in a technical leadership role are also valued.