Senior ML Engineer, Vision for Autonomous Systems

Shield; Boston (MA); On-site; USD 168,000 - 252,000; Full time

Benefits offered by this job

Equity

Bonus

Benefits

Job summary

Shield AI's Hivemind Solutions Perception team seeks an experienced ML engineer to design, train, and deploy vision-language models for autonomous systems. You’ll own features from model development through production, collaborating with researchers, perception engineers, autonomy engineers, and platform teams to deliver mission-ready perception capabilities on embedded hardware.

You will optimize data pipelines, fine-tuning workflows, and evaluation frameworks, push for robustness and

Qualifications

• Minimum 5 years related experience with a technical degree or equivalent.
• Proficiency in ML fundamentals and production CV deployments.
• Experience with PyTorch and TensorFlow in production.
• Strong understanding of 3D vision problems/algorithms.
• Deploying models with TensorRT and ONNX.

Responsibilities

• Design, train, fine-tune, and maintain state-of-the-art vision and VLM/VLA models for autonomous systems.
• Build scalable data pipelines and supervised fine-tuning workflows.
• Deploy and optimize ML models for embedded hardware using ONNX, TensorRT, and related frameworks.
• Apply ML techniques to perception and autonomy across aerial and ground systems.
• Translate research into production-ready capabilities with emphasis on robustness and efficiency.
• Collaborate with perception, autonomy, platform, and software teams to deliver mission-ready systems.
• Develop benchmarks, testing methodologies, and evaluation frameworks.
• Improve training infrastructure and deployment workflows for faster experimentation and delivery.

Skills

Machine learning fundamentals

PyTorch

TensorFlow

C++

Python

3D vision

ONNX

TensorRT

SECRET clearance

ML deployment

Education

Bachelor's degree

Master's degree

PhD

Tools

ONNX

TensorRT

Job description

Shield AI's Hivemind Solutions Perception team seeks an experienced ML engineer to design, train, and deploy vision-language models for autonomous systems. You’ll own features from model development through production, collaborating with researchers, perception engineers, autonomy engineers, and platform teams to deliver mission-ready perception capabilities on embedded hardware.

You will optimize data pipelines, fine-tuning workflows, and evaluation frameworks, push for robustness and