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Grid Dynamics Holdings, Inc
Principal AI Engineer, Physical AI
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What they do
A Generative Artificial Intelligence Engineer develops, designs, and manages generative models and algorithms that support the generation of new content in the form of images, text, audio, and other multimedia. They utilize GPTs, GANs, VAEs, and other deep learning architectures to craft systems capable of generating data. May work with data scientists, machine learning engineers, and software developers.
$166,830 / year median in California
Job Description
We are looking for a highly skilled and passionate Principal AI Engineer with expertise in multimodal generative models to join our team. As a Principal AI Engineer, you will play a key role in developing and advancing cutting-edge solutions in the field of robotics and physical AI. If you have exceptional AI engineering skills and want to shape the future of AI in the physical world, we'd love to connect. Essential functions You will be a part of the RnD team, designing and developing models for dexterous robotic manipulation for Manufacturing and Logistics applications Lead and contribute to cutting-edge research in robotic perception, motion generation, and physical AI Design, develop, and experiment with novel algorithms, architectures, and techniques that enhance the performance, efficiency, and scalability of our AI models Design and implement robotic applications combining conventional computer vision, motion planning, and VLA/RL models Define data generation, collection, and curation strategies; supervise data collection to scale up our datasets and model capabilities Qualifications Excellent fundamentals and excellent implementation skills in deep learning , vision models, or multimodal models Strong engineering ability with Python and PyTorch, experience building ML models from scratch in PyTorch and/or JAX/Flax Excellent system design skills and experience with complex collaborative AI projects , ability to implement research ideas in a clean way and productize AI pipelines Experience with robotic manipulation (manufacturing or logistics applications) or other physical AI projects (ADAS, autonomous driving, etc.) is a big plus Experience working with large scale AI training (GPU clusters, Ray) Strong publication record in deep learning, generative models, computer vision, or physical AI (RL, VLA) MS or PhD degree in Engineering or Computer Science or equivalent experience We offer Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office About us Grid Dynamics (