3 months ago
Base Salary
$163k - $245k/yr
Responsibilities
- Design, train, fine-tune, and maintain vision, vision-language, and vision-language-action models for autonomous systems.
- Build scalable data pipelines, supervised fine-tuning workflows, evaluation loops, benchmarks, and testing methodologies.
- Deploy and optimize machine learning models for embedded hardware using ONNX, TensorRT, and hardware-accelerated inference frameworks.
- Solve perception and autonomy problems across aerial and other autonomous platforms in complex operational environments.
- Translate machine learning research into production-ready capabilities while balancing performance, robustness, efficiency, and reliability.
- Collaborate with perception, autonomy, platform, and software engineering teams to integrate ML capabilities into autonomous systems.
- Improve training infrastructure, developer tooling, deployment workflows, and model lifecycle management.
Requirements
- Typically requires 5 years of related experience with a bachelor's degree, 4 years with a master's degree, 2 years with a PhD, or equivalent work experience.
- Proficiency in machine learning fundamentals and experience training and deploying computer-vision ML models in production.
- Strong understanding of 3D vision problems and algorithms.
- Experience with PyTorch and TensorFlow.
- 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: experience developing autonomous systems for defense customers.
- Preferred: experience training or fine-tuning vision-language models, vision-language-action models, or world models.
- Preferred: machine learning or computer-vision open-source contributions and publications in leading computer vision or robotics conferences and journals.
Benefits
- Full-time regular employees receive pay within the listed range plus bonus, benefits, and equity; the posting does not provide an explicit amount.
- Temporary employees receive pay within the listed range plus 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
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.