Job Summary:

The hands-on Senior AI/ML Engineer is responsible for designing and architecting highly scalable ML platforms and solutions for vehicle data, manufacturing, sales, finance, and other critical systems. If you enjoy building large-scale data and ML systems, working with a talented engineering team, and collaborating with some of the brightest minds in automotive technology, Lucid is the place to experience it.

You Will:

As a Senior AI/ML Engineer on the Data Engineering team, you will play a pivotal role in building and scaling Lucid’s machine learning and GenAI capabilities. 

Design and implement scalable ML platforms and infrastructure, enabling efficient model training, evaluation, deployment, and monitoring across vehicle, manufacturing, and enterprise domains. Develop end-to-end ML solutions, leveraging both traditional ML techniques (e.g., classification, regression, time series forecasting) and deep learning (e.g., embeddings, transformers, neural networks). Build and optimize Generative AI systems, including Retrieval-Augmented Generation (RAG), prompt engineering, and fine-tuning of large language models (LLMs). Collaborate with data engineers, ML engineers, and software teams to productionize ML models, integrating them into APIs and real-time systems with CI/CD, observability, and model versioning. Partner with analysts, scientists, and business stakeholders to translate complex use cases into technical designs, leading the development of POCs from concept through deployment. Mentor and guide junior engineers, promoting best practices in ML system design, code quality, experimentation, and model governance. Stay up to date with emerging trends in AI/ML infrastructure and GenAI, and actively drive the evaluation and adoption of new tools and techniques across the organization. Maintain and improve existing ML services, proactively addressing performance, scalability, and reliability in production environments. You Bring:

Required:

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related field. 5+ years of robust, hands-on experience in software engineering, ML engineering, or ML platform development. 2+ years of experience in areas such as deep learning, LLMs, NLP, speech, conversational AI, ML infrastructure, fine-tuning, and PyTorch model optimization. Strong knowledge of traditional ML techniques, including supervised/unsupervised learning, feature engineering, and model evaluation. Expert-level proficiency in Python for ML and data workflows; experience with Java, Go, Rust, or C/C++ is a plus. Deep experience with Large Language Models (e.g., LLaMA, GPT, Claude, Falcon), including architectural tradeoffs, capabilities, and deployment considerations. Hands-on expertise in deep learning frameworks like PyTorch and/or JAX, and tools such as ONNX, Triton, or Torch-TensorRT. Proven experience designing and deploying scalable, high-performance AI systems in cloud environments (preferably AWS). Familiarity with ML workflow orchestration tools like Airflow, MLflow, SageMaker, or Vertex AI. Solid understanding of RAG pipelines, including hybrid search and vector databases (e.g., FAISS, Weaviate, Pinecone). Ability to clearly articulate complex technical concepts to both engineering and business stakeholders.

Preferred:

Experience with model observability, feature stores, and online/offline inference systems. Familiarity with MLOps best practices, including monitoring, drift detection, and model governance. Track record of mentoring other engineers or contributing to open-source ML/AI projects. Experience working in a high-growth or fast-paced tech environment with cross-functional teams. **This is an onsite role working in our headquarters in Newark, CA.**   At Lucid, we don’t just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations.