What You'll Be Doing:
Research, and develop transformer based models tailored for graphs
Implement evaluation frameworks to measure performance of large scale LLM’s
Design and develop algorithms for map-based driving products
Analyze and fine-tune SOTA pretrained models on domain specific datasets
Implement visualization tools for graph mining for navigation maps
Integrate graph-structured data with for foundation generative AI models
What We Need To See:
PhD/Master’s degree in Computer Science, AI, Applied Math, or related field with 3+ years of industry/research experience
Strong mathematical fundamentals and AI/DL algorithms skills or experience
Experience with AI/DL Frameworks (PyTorch, Tensorflow, TensorRT etc.)
Proven skills in programming, debugging, performance analysis, test design, and documentation
Ways To Stand Out From The Crowd:
Familiarity with any navigation maps such as NDS.Live, Open Street Maps (OSM) etc.
Hands-on experience with Generative AI techniques applied to LLMs and multimodal variants (Image, Video, Speech etc.)
Exposure to large scale graph optimizations for AI-training
Published work for international relevant conferences (CVPR, NeurIPS, ICRA, etc).
משרות נוספות שיכולות לעניין אותך