Senior Staff AI Engineer — Vision, VLM & Autonomy

Shield AI

Washington

On-site

USD 130,000 - 190,000

Full time

8 days ago
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Benefits offered by this job

Excellent Medical Coverage
Mental Health Employee Assistance Plan
Paid Parental Leave
Pet Insurance
Flexible Work Hours
Onsite Gym (DC)
Gym Discount (San Diego)
Free Parking
Competitive Compensation
Stock Benefits
401K Services and Match

Job summary

Shield AI is seeking an experienced ML engineer to advance perception for autonomous systems. You will design, train, and deploy state-of-the-art vision, vision-language, and vision-language-action models, and build scalable data pipelines with robust evaluation and deployment workflows.

You will collaborate with ML researchers, autonomy engineers, and platform teams to deliver mission-ready perception capabilities for U.S.

Qualifications

  • Strong knowledge of 3D vision problems and algorithms.
  • Experience deploying CV models in production.
  • Experience with defense customers or defense-grade systems.
  • Proficiency in C++ and Python for systems engineering.

Responsibilities

  • Design, train, fine-tune, and maintain vision, vision-language, and VLA models.
  • Build scalable data pipelines and supervised fine-tuning workflows.
  • Develop evaluation frameworks and production deployment infrastructure.
  • Collaborate with researchers, autonomy engineers, and platform teams.
  • Deploy and optimize ML models for embedded hardware.
  • Translate research into production-ready capabilities.

Skills

PyTorch
TensorFlow
ONNX
TensorRT
C++
Python
Vision-language models
Vision-language-action models

Tools

PyTorch
TensorFlow
ONNX
TensorRT

Job description

Shield AI is seeking an experienced ML engineer to advance perception for autonomous systems. You will design, train, and deploy state-of-the-art vision, vision-language, and vision-language-action models, and build scalable data pipelines with robust evaluation and deployment workflows.

You will collaborate with ML researchers, autonomy engineers, and platform teams to deliver mission-ready perception capabilities for U.S.

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