Staff ML Engineer — Perception & Autonomy Vision

Shield; Washington (District of Columbia); Presencial; USD 195.000 - 293.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity

Descripción de la vacante

Shield AI is seeking a senior ML engineering leader to drive perception models for autonomous systems. You will own architecture and development across vision, vision-language, and VLA models, collaborating with researchers and engineers to deliver mission-ready capabilities.

You will build scalable data pipelines, deploy models on embedded hardware, and balance performance with robustness. A SECRET clearance is required, and equity/bonus benefits are part of the compensation package.

Formación

• 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 an 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

Responsabilidades

• Model Development – Design, train, fine‑tune, and maintain state‑of‑the‑art vision, vision‑language, and vision‑language‑action models that improve perception and decision‑making for autonomous systems.
• Data Pipelines & Model Training – Build scalable data pipelines, supervised fine‑tuning (SFT) workflows, and evaluation loops that continuously improve model performance on mission‑relevant tasks.
• Model Deployment & Optimization – Deploy and optimize machine learning models for embedded hardware using technologies such as ONNX, TensorRT, and hardware‑accelerated inference frameworks.
• Perception & Autonomy Applications – Apply modern machine learning techniques to solve challenging perception and autonomy problems across aerial and other autonomous systems operating in complex, real‑world environments.
• Research‑to‑Production – Translate cutting‑edge machine learning research into production‑ready capabilities by balancing model performance, robustness, computational efficiency, and operational reliability.
• Cross‑functional Collaboration – Partner closely with perception, autonomy, platform, and software engineering teams to integrate machine learning capabilities into mission‑ready autonomous systems.
• Model Evaluation & Validation – Develop benchmarks, testing methodologies, and evaluation frameworks to measure model performance, identify failure modes, and guide future improvements.
• Continuous Improvement – Improve training infrastructure, developer tooling, deployment workflows, and model lifecycle management to accelerate experimentation and production delivery.

Conocimientos

Machine learning fundamentals

CV ML model training/deployment

3D vision algorithms

PyTorch

TensorFlow

TensorRT

ONNX

C++

Python

Security clearance (SECRET)

Educación

Bachelor's degree

Advanced degree (Master/PhD) preferred

Herramientas

ONNX

TensorRT

Descripción del empleo

Shield AI is seeking a senior ML engineering leader to drive perception models for autonomous systems. You will own architecture and development across vision, vision-language, and VLA models, collaborating with researchers and engineers to deliver mission-ready capabilities.

You will build scalable data pipelines, deploy models on embedded hardware, and balance performance with robustness. A SECRET clearance is required, and equity/bonus benefits are part of the compensation package.