Autonomy for the world. Backed by a16z.
About the role
Evaluate emerging models and methods against representative sensor data and autonomy needs. Build prototypes and experiments that reveal strengths, limitations, and practical deployment opportunities. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- A PhD in computer vision, machine learning (ML/DL) , robotics, or a related field, or an equivalent record of advanced research and hands-on engineering
- Research depth in an area such as multimodal vision, visual foundation models, video understanding, open-vocabulary perception, or embodied learning
- Strong Python skills and experience with PyTorch or a comparable ML framework
- A thoughtful approach to experiments, evaluation data, and understanding why models fail
- Experience building substantial research software, an interest in developing production-quality C++, and a collaborative approach to solving problems
- Experience bringing a research prototype into sustained use
More about this role
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. For more information, visit www.shield.ai . Follow Shield AI on LinkedIn , X , Instagram , and YouTube .
Bring promising AI research into autonomous systems that operate in the real world . Shield AI’s Perception team is looking for an engineer who enjoys exploring new ideas and making them work on real hardware. You’ll help turn advances in multimodal computer vision, visual foundation models, and embodied AI into useful capabilities for autonomous aircraft and vehicles.
Working alongside researchers and autonomy engineers, you’ll evaluate promising approaches, build prototypes, and carry successful ideas into the Hivemind product. You’ll combine learned methods with established perception techniques, working through the sensor, software, and compute challenges...
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