3 months 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
Shield AI builds autonomous systems for military and national security customers, combining its Hivemind autonomy software with V-BAT and X-BAT unmanned aircraft and Aechelon simulation technologies. The privately held company sells hardware, software, and related services to U.S. and allied defense agencies. Founded in 2015 and headquartered in San Diego, it operates across the U.S., Europe, the Middle East, and Asia-Pacific, and its technology is used in operational deployments.