Senior Vision & Perception ML Engineer

Shieldai; Washington (District of Columbia); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Equity

Bonus

Benefits

Job summary

Shield AI is actively hiring engineers to develop and deploy advanced machine learning models for perception in autonomous systems. You will own features from development through deployment, collaborating with researchers, perception engineers, autonomy engineers, and platform teams to bring cutting‑edge AI into production on autonomous platforms.

The role emphasizes vision and 3D perception, data pipelines, SFT workflows, evaluation frameworks, and deployment infrastructure, with a focus on

Qualifications

• Minimum 5 years of related experience with a degree; or 4 years + Master; or 2 years + PhD; or equivalent work experience.
• Proficiency in machine learning fundamentals and production ML for computer vision.
• Experience deploying ML models for defense or autonomous systems is preferred.
• Strong understanding of 3D vision problems and algorithms.
• Hands-on experience with PyTorch and TensorFlow; deployment with TensorRT and ONNX.
• Proficiency in C++ and Python; ability to translate research into practical applications.
• Ability to obtain a SECRET clearance.

Responsibilities

• Model Development – Design, train, fine-tune, and maintain state-of-the-art vision, vision-language, and vision-language-action models.
• Data Pipelines & Model Training – Build scalable data pipelines and evaluation loops to improve model performance.
• Model Deployment & Optimization – Deploy ML models for embedded hardware using ONNX, TensorRT, and related frameworks.
• Perception & Autonomy Applications – Apply ML to perception and autonomy challenges across aerial and autonomous systems.
• Research-to-Production – Balance performance, robustness, efficiency, and reliability.
• Cross-functional Collaboration – Work with researchers, perception engineers, platform teams to integrate ML into systems.
• Model Evaluation & Validation – Develop benchmarks, testing methodologies, and evaluation frameworks.
• Continuous Improvement – Improve training infrastructure, tooling, workflows, and lifecycle management.

Skills

Machine learning fundamentals

C++

Python

PyTorch

TensorFlow

Vision/3D vision

Model deployment

Data pipelines

Problem solving

Clearance (SECRET)

Education

Bachelor's degree in CS/EE/ML or related field

Tools

PyTorch

TensorFlow

TensorRT

ONNX

C++

Python

Job description

Shield AI is actively hiring engineers to develop and deploy advanced machine learning models for perception in autonomous systems. You will own features from development through deployment, collaborating with researchers, perception engineers, autonomy engineers, and platform teams to bring cutting‑edge AI into production on autonomous platforms.

The role emphasizes vision and 3D perception, data pipelines, SFT workflows, evaluation frameworks, and deployment infrastructure, with a focus on