Sr. Principal AI/ML Lead, Development & Engineering

Data generated by electric vehicles is rich and diverse with a lot of potential to design, develop, and deploy AI/ML solutions to drive leading innovation and AI product solutions on part with Lucid’s industry leadership and brand expectations.  Lucid’s AI/ML organization is seeking a Sr. Principal AI/ML Lead Engineer focused on Development & Product Engineering.  This position requires applied machine learning experience with deep expertise in Generative AI, Large Language Models, Natural Language Processing, Retrieval-Augmented Generation, Agentic workflows, and Autonomous Systems.

In this role, you will be responsible for defining, driving, and delivering the AI/ML internal solutions that create value and return on investment within the Lucid workforce and customer-facing AI products that deliver industry-leading user experience commensurate to the quality and excellence of the Lucid brand.

How We Work: We balance hard work and innovation through meaningful, in-office calibration. Please note, this role is based out of Newark, CA. 

You Will:

• Lead the creation and execution of Lucid’s development and deployment of complex and innovative AI/ML solutions to address specific business needs, ensuring scalability, efficiency, security, and robustness.
• Report to Lucid’s CAIO and engage with key stakeholders to ensure alignment on the AI/ML product development and roadmap, including prioritized AI/ML initiatives, and integration of AI into existing systems and processes.
• Engage broadly within the organization to identify and prioritize requirements and align high-value AI/ML initiatives with business objectives.
• Define KPIs for evaluating the success of AI/ML products based on business impact and feasibility.
• Lead and own the AI development lifecycle from planning and product requirements to execution and continuous support, including monitoring and optimizing AI/ML product performance to maximize ROI.
• Collaborate with Data Science, Data Engineering, Cloud, Infrastructure and Commercial Teams to effectively execute the end-to-end AI product development lifecycle for secure, robust, and innovative AI product deployments for in-vehicle, SaaS, and enterprise AI applications.
• Keep effective communication with team members and stakeholders to ensure user and technical issues are promptly prioritized and resolved.
• Stay informed on emerging AI technologies, tools, and methodologies to inform product strategies and roadmaps.
• Provide thought leadership, mentorship, and guidance to Lucid’s AI engineers and developers to enable a culture of innovation, continuous learning, and technical excellence.

You Bring: 

• Advanced degree (MSc/PhD) in Machine Learning, Computer Science or related STEM field or bachelor’s degree in computer science with 12+ years of experience
• Strong knowledge and proficiency in Python, ML Frameworks such as PyTorch, Hugging Face, etc.
• Direct experience leading and deploying large-scale machine learning models with a focus in Generative AI, LLMs, Retrieval Augmented Generation (RAG), and agentic systems.
• Proven track record of leading AI/ML development projects from design to implementing scalable ML pipelines for preprocessing, training, and deployment in production.  
• Highly technical with a solid understanding of AI/ML technologies, frameworks, and use cases with a deep understanding of software development for AI/ML products.
• Expertise and deep domain knowledge in data generation, data management, synthetic data creation, and the utilization thereof for model training and robust AI product deployments in complex environments with multisensory data acquisition.
• Self-motivated and proactive, with demonstrated critical thinking capabilities
• Technical experience to weigh tradeoffs and to have in depth discussions with scientists and engineers on the nuances of complex AI systems.
• Experience in an Agile Environment; creating a feature spec, turning it into user stories, setting and tracking KPIs 
• Excellent communication skills with the ability to convey complex AI/ML concepts to both technical and non-technical Leadership and stakeholders
• Strong leadership skills, capable of influencing and driving cross-functional collaboration between technical teams and non-technical teams  

Nice to Haves:

• Relevant experience in EV Technology, Automotive, Manufacturing Operations, Telematics, or IOT devices