Senior Perception ML Engineer for Autonomous Systems

Shieldai; Washington (District of Columbia); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Bonus

Benefits

Equity

Job summary

Shield AI is seeking a senior ML architect to lead the technical development of perception solutions for autonomous systems. You will own architecture, mentor engineers, and drive model development across multiple efforts, bridging research and production.

The role requires expertise in 3D vision, vision-language models, and deployment with TensorRT/ONNX, with a strong background in PyTorch/TensorFlow. A SECRET clearance is required.

Qualifications

• Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience.
• Expertise of machine learning fundamentals.
• Experience training and deploying ML models for computer vision in a production setting.
• Strong understanding of 3D vision problems/algorithms.
• Experience with machine learning frameworks such as PyTorch and TensorFlow.
• Demonstrated expertise in deploying models using TensorRT and ONNX.
• Proficiency in C++ and Python.
• Strong analytical and problem-solving skills, with the ability to translate research into practical applications.
• Ability to obtain a SECRET clearance
• Experience with developing autonomous systems for defense customers.
• Experience with training/finetuning vision-language models, vision-language-action models, and/or world models.
• Contributions to open-source projects in machine learning or computer vision.
• Track record of publications in leading computer vision and robotics conferences and journals (e.g., CVPR, ICCV/ECCV, RAL, ICRA).

Responsibilities

• Lead technical development of advanced ML solutions for perception in autonomous systems.
• Own architecture and model development across multiple efforts.
• Mentor engineers and raise technical bar across the organization.
• Design, train, fine-tune, and maintain vision, vision-language models.
• Build scalable data pipelines and evaluation loops.
• Deploy and optimize models for embedded hardware using ONNX, TensorRT.
• Collaborate with researchers, perception, autonomy, platform, and software teams.
• Translate research into production-ready capabilities balancing performance and reliability.

Skills

Machine learning fundamentals

C++

Python

PyTorch

TensorFlow

3D vision

Vision-language models

Vision-language-action models

Open-source contributions

Publications in CVPR/ICCV/ECCV/ICRA

Education

Bachelor’s degree

Master’s degree

PhD

Equivalent work experience

Tools

ONNX

TensorRT

CUDA

Job description

Shield AI is seeking a senior ML architect to lead the technical development of perception solutions for autonomous systems. You will own architecture, mentor engineers, and drive model development across multiple efforts, bridging research and production.

The role requires expertise in 3D vision, vision-language models, and deployment with TensorRT/ONNX, with a strong background in PyTorch/TensorFlow. A SECRET clearance is required.