Principal Applied Scientist, Generative AI

This research scientist role focuses on advancing generative and agentic AI, including LLMs, VLMs, and AI agents that reason and use tools. The scientist will work on post-training techniques (SFT, RLHF/RLVR), reasoning, multimodal intelligence, and agentic systems, and publish at top AI/ML conferences. Requires a Master's or PhD in a related field, deep understanding of foundation models, and hands-on experience with LLMs and PyTorch.

This principal-level role leads NLP and applied AI initiatives, setting technical direction and driving innovation. The data scientist will architect advanced models, mentor junior team members, and influence AI strategy.

This Senior Generative AI Engineer role builds AI applications and agentic workflows for Motorway's marketplace, owning features end-to-end from ambiguous problems to production-grade systems. The engineer is responsible for retrieval quality, evaluation, monitoring, and guardrails, treating these as first-class engineering problems. The role requires strong software engineering skills and experience with LLMs, orchestration, and data systems.

This Lead Generative AI Engineer role sets the technical standard for AI work across Motorway's Data and AI function, owning architecture and standards for complex product-facing GenAI work. The engineer will hold sign-off on high-risk systems, build shared foundations like retrieval patterns and evaluation infrastructure, and act as a player-coach mentoring senior engineers. The role requires deep expertise in GenAI engineering and the ability to build the hardest pieces of work directly.

This Principal Applied Scientist focuses on user modeling to enhance personalization and recommendation systems. The scientist will develop models to understand user behavior, improve engagement, and drive product decisions.

This role focuses on developing world models for AI systems, enabling agents to understand and predict environments. The scientist will conduct research, implement models, and collaborate with engineering teams to integrate world models into products.

This internship applies economic principles and quantitative methods to analyze market trends and user behavior. The intern will conduct research, build models, and provide insights to support business decisions.