Staff Perception ML Lead — Vision & Autonomy

Shield; Washington; On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Excellent Medical Coverage

Mental Health Support

Paid Parental Leave

Stock Benefits

401K

Job summary

Shield’s Hivemind Solutions Perception team is hiring a senior ML engineer to lead the development of vision, vision-language, and vision-language-action models for autonomous systems. The role focuses on bridging cutting-edge AI research with scalable production, deploying models to embedded hardware, and guiding architecture across multiple efforts.

You will work with researchers, perception engineers, autonomy engineers, and platform teams to advance perception capabilities while mentoring

Qualifications

• Strong understanding of 3D vision problems/algorithms.
• Proficiency in C++ and Python.
• Ability to obtain a SECRET clearance.
• Experience deploying models in production.
• Experience with PyTorch and TensorFlow.
• Experience with vision-language models and vision-language-action models.
• Open-source contributions to ML/CV projects.
• Experience with defense customers.

Responsibilities

• Lead development of ML solutions for perception in autonomous systems.
• Own architecture and model development across multiple efforts.
• Bridge research and production for reliable autonomy.
• Mentor engineers and raise technical bar across the org.
• Collaborate with researchers, perception engineers, autonomy engineers, and platform teams.
• Develop benchmarks and evaluation frameworks for model performance.

Skills

3D vision

Analytical problem-solving

C++

Python

SECRET clearance

Education

Bachelor's degree

Master's degree

PhD

Tools

PyTorch

TensorFlow

ONNX

TensorRT

Job description

Shield’s Hivemind Solutions Perception team is hiring a senior ML engineer to lead the development of vision, vision-language, and vision-language-action models for autonomous systems. The role focuses on bridging cutting-edge AI research with scalable production, deploying models to embedded hardware, and guiding architecture across multiple efforts.

You will work with researchers, perception engineers, autonomy engineers, and platform teams to advance perception capabilities while mentoring