Machine Learning Tech Lead Engineer, Multimodal models (LLM/VLM)

We are looking for an exceptional deep learning algorithm developer with proven experience in LLMs/VLMs/VLA models to join our growing team under our copmpanys Algorithms Group. The team is building an innovative multimodal learning framework aimed at improving autonomous driving performance by understanding long-tail cases and providing actionable navigation insights. Were combining state-of-the-art vision-language models to revolutionize how we train, validate, and scale our autonomous systems. If youre passionate about deep learning and engineering high-impact autonomous solutions - this is the place for you.
What will your job look like:
Lead dataset curation strategy - designing scalable pipelines for multimodal data to drive high-quality training and validation.
Architect and optimize LLMs, VLMs, and VLA models - transforming scene understanding into reliable driving guidance.
Own the validation strategy - defining methodologies, metrics, and failure-analysis workflows for robus

דרישות:

M.Sc. in Deep Learning, Computer Vision, NLP, or a related field (Ph.D. an advantage).
Proven experience with large multimodal or language models (LLMs/VLMs/VLA models) and their real-world integration.
At least 7 years of hands-on experience in developing deep learning models.
Strong programming skills in Python (additional C++ is an advantage).
Experience with modern DL frameworks (e.g., PyTorch, TensorFlow). המשרה מיועדת לנשים ולגברים כאחד.