1 month ago
Base Salary
$234k - $351k/yr
Responsibilities
- Design, train, fine-tune, maintain, and deploy vision, vision-language, and vision-language-action models for autonomous systems.
- Build scalable data pipelines, supervised fine-tuning workflows, evaluation loops, benchmarks, and model validation methodologies.
- Deploy and optimize machine learning models for embedded hardware using ONNX, TensorRT, and hardware-accelerated inference frameworks.
- Apply machine learning to perception and autonomy problems across aerial and other autonomous systems.
- Translate machine learning research into production-ready capabilities while balancing performance, robustness, efficiency, and reliability.
- Collaborate with machine learning researchers, perception engineers, autonomy engineers, platform teams, and software engineering teams.
- Improve training infrastructure, developer tooling, deployment workflows, and model lifecycle management.
Requirements
- Typically requires 10 years of related experience with a bachelor’s degree, 9 years with a master’s degree, 7 years with a PhD, or equivalent work experience.
- Mastery of machine learning fundamentals and experience training and deploying computer vision models in production.
- Strong understanding of 3D vision problems and algorithms.
- Experience with PyTorch and TensorFlow.
- Demonstrated expertise deploying models with 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.
- Preferred qualifications include autonomous systems experience for defense customers, vision-language, vision-language-action, or world model training and fine-tuning experience, open-source machine learning or computer vision contributions, and publications in computer vision or robotics venues such as CVPR, ICCV/ECCV, RAL, or ICRA.
Benefits
- Full-time regular employees may receive pay within the listed range, bonus, benefits, and equity.
- Temporary employees receive pay within the listed range and a temporary benefits package applicable after 60 days of employment.
- Offers are contingent on a cleared background and possible reference check.
- Military fellows and part-time employees are not eligible for benefits.
Categories
ML EngineeringRobotics
About Shield AI
Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide.