Senior AI/ML Systems Engineer — Vision & Autonomy

Shield; Boston (MA); On-site; USD 235,000 - 352,000; Full time

Benefits offered by this job

Bonus

Benefits

Equity

Job summary

Shield AI is seeking a senior ML engineer to design, train, and deploy state-of-the-art vision and vision-language models for autonomous systems. You will build scalable data pipelines, fine-tune models, and optimize inference on embedded hardware.

Collaborate with perception, autonomy, platform, and software teams to translate research into production capabilities, maintain tooling, and ensure mission readiness with robust, efficient models. Candidates must be able to obtain a SECRET clearance.

Qualifications

• Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience.
• Mastery 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.
• Ability to obtain a SECRET clearance.

Responsibilities

• Design, train, fine-tune, and maintain state-of-the-art vision, vision-language, and vision-language-action models for autonomous systems.
• Build scalable data pipelines, supervised fine-tuning workflows, and evaluation loops to improve model performance.
• Deploy and optimize machine learning models for embedded hardware using ONNX, TensorRT, and related frameworks.
• Apply ML techniques to perception and autonomy challenges across aerial and autonomous systems.
• Translate cutting-edge ML research into production capabilities with balanced performance and reliability.
• Collaborate with perception, autonomy, platform, and software teams to integrate ML into mission-ready systems.
• Develop benchmarks, testing methodologies, and evaluation frameworks to measure model performance.
• Improve training infrastructure and deployment workflows to speed up experimentation and delivery.

Skills

ML fundamentals

CV model training

Production deployment

3D vision

PyTorch

TensorFlow

C++ / Python

Security clearance

Tools

TensorRT

ONNX

PyTorch

TensorFlow

Job description

Shield AI is seeking a senior ML engineer to design, train, and deploy state-of-the-art vision and vision-language models for autonomous systems. You will build scalable data pipelines, fine-tune models, and optimize inference on embedded hardware.

Collaborate with perception, autonomy, platform, and software teams to translate research into production capabilities, maintain tooling, and ensure mission readiness with robust, efficient models. Candidates must be able to obtain a SECRET clearance.