Senior Deep Learning Engineer

Résumé de la description de poste GE Aerospace Engineering is looking for a Senior Deep Learning Engineer who is passionate about applying human-AI interactions, such as conversational AI, chatbots, search engines, simulation, pre-training for embodied agents, and embodied AI, bringing to bear foundational knowledge from areas such as deep learning, LLM, NLP, computer vision, reinforcement learning, computational statistics, and applied mathematics. You will have an opportunity to develop algorithms and apply your ideas at scale impacting Aerospace Engineering products. You will develop high-impact and high-visibility modeIs and improve the experience of hundreds of engineers and quality personnel. If you're creative and passionate about solving real-world AI problems, join our AI engineering team. Description de l'emploi Essential Responsibilities • Develop, train, fine-tune, and deploy models for driving conversational AI systems including LLMs, multimodal understanding, fuzzy search, image recognition, UI and UX, dialog reasoning and speech synthesis. • Build novel data-driven paradigms for conversational AI including customized checklists for different engineering design practices and use-cases. • Develop systems and frameworks using various data modalities (images, drawings, text, documents, checklists, etc.) and the roles they play in different levels of reasoning and decision making. • Apply alignment techniques such as instruction tuning and reinforcement learning from human feedback to improve use-cases. • Measure and benchmark model and application performance and analyze model accuracy and bias and recommend the next course of action and improvements. • Drive the gathering, building, and annotation of domain specific datasets to train models for different design practices and applications and maintain model evaluation systems and characterize performance and quality metrics across platforms for various AI systems. • Collaborate and innovate with team members on new product features, improvements of existing products and participate in developing and reviewing use-cases, test plans, code, and design documents.