<div><div><strong>Leading the future in luxury electric and mobility</strong></div><div>At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.</div><div> </div><div>We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.</div><div> </div><div>Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.</div></div><p></p><h3>Job Summary:</h3><p>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.</p><h3>You Will:</h3><p>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. </p><ul><li>Design and implement scalable ML platforms and infrastructure, enabling efficient model training, evaluation, deployment, and monitoring across vehicle, manufacturing, and enterprise domains.</li><li>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).</li><li>Build and optimize Generative AI systems, including Retrieval-Augmented Generation (RAG), prompt engineering, and fine-tuning of large language models (LLMs).</li><li>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.</li><li>Partner with analysts, scientists, and business stakeholders to translate complex use cases into technical designs, leading the development of POCs from concept through deployment.</li><li>Mentor and guide junior engineers, promoting best practices in ML system design, code quality, experimentation, and model governance.</li><li>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.</li><li>Maintain and improve existing ML services, proactively addressing performance, scalability, and reliability in production environments.</li></ul><h3>You Bring:</h3><p>Required:</p><ul><li>Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related field.</li><li>5+ years of robust, hands-on experience in software engineering, ML engineering, or ML platform development.</li><li>2+ years of experience in areas such as deep learning, LLMs, NLP, speech, conversational AI, ML infrastructure, fine-tuning, and PyTorch model optimization.</li><li>Strong knowledge of traditional ML techniques, including supervised/unsupervised learning, feature engineering, and model evaluation.</li><li>Expert-level proficiency in Python for ML and data workflows; experience with Java, Go, Rust, or C/C++ is a plus.</li><li>Deep experience with Large Language Models (e.g., LLaMA, GPT, Claude, Falcon), including architectural tradeoffs, capabilities, and deployment considerations.</li><li>Hands-on expertise in deep learning frameworks like PyTorch and/or JAX, and tools such as ONNX, Triton, or Torch-TensorRT.</li><li>Proven experience designing and deploying scalable, high-performance AI systems in cloud environments (preferably AWS).</li><li>Familiarity with ML workflow orchestration tools like Airflow, MLflow, SageMaker, or Vertex AI.</li><li>Solid understanding of RAG pipelines, including hybrid search and vector databases (e.g., FAISS, Weaviate, Pinecone).</li><li>Ability to clearly articulate complex technical concepts to both engineering and business stakeholders.</li></ul><p>Preferred:</p><ul><li>Experience with model observability, feature stores, and online/offline inference systems.</li><li>Familiarity with MLOps best practices, including monitoring, drift detection, and model governance.</li><li>Track record of mentoring other engineers or contributing to open-source ML/AI projects.</li><li>Experience working in a high-growth or fast-paced tech environment with cross-functional teams.</li></ul><div><strong>**This is an onsite role working in our headquarters in Newark, CA.**</strong></div><div> </div><div>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.</div><div><div><div><div><strong>Salary Range</strong>: The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors.</div><div> </div><div><strong>Additional Compensation and Benefits</strong>: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs.  (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)</div></div><div>Base Pay Range (Annual)</div><div><span>$140,000</span><span>—</span><span>$192,500 USD</span></div></div></div><div><div><p>By Submitting your application, you understand and agree that your personal data will be processed in accordance with our <a href="https://www.lucidmotors.com/s3fs-public/pdf/candidate-privacy-notice.pdf">Candidate Privacy Notice</a>. If you are a California resident, please refer to our <a href="https://www.lucidmotors.com/s3fs-public/pdf/california-candidate-privacy-notice.pdf">California Candidate Privacy Notice</a>.</p></div><div><strong>To all recruitment agencies</strong>: <em>Lucid Motors <strong>does not</strong> accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes. </em></div><div> </div></div>

<p>Lucid Motors sets out to create a car that elevates the human experience and transcends the perceived limitations of space, performance, and intelligence. A car that is intuitive, liberating, and designed for all the ways people get around. Lucid Motors plans to lead in this new era of mobility by returning to the fundamentals of great design &ndash; where every decision we make is in service of the individual. Because when you are no longer bound by convention, you are free to define your own path.</p>

Senior AI/ML Engineer

<div><div><strong>Leading the future in luxury electric and mobility</strong></div><div>At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.</div><div>&nbsp;</div><div>We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.</div><div>&nbsp;</div><div>Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.</div></div><p></p><h3>Job Summary:</h3><p>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.</p><h3>You Will:</h3><p>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.&nbsp;</p><ul><li>Design and implement scalable ML platforms and infrastructure, enabling efficient model training, evaluation, deployment, and monitoring across vehicle, manufacturing, and enterprise domains.</li><li>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).</li><li>Build and optimize Generative AI systems, including Retrieval-Augmented Generation (RAG), prompt engineering, and fine-tuning of large language models (LLMs).</li><li>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.</li><li>Partner with analysts, scientists, and business stakeholders to translate complex use cases into technical designs, leading the development of POCs from concept through deployment.</li><li>Mentor and guide junior engineers, promoting best practices in ML system design, code quality, experimentation, and model governance.</li><li>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.</li><li>Maintain and improve existing ML services, proactively addressing performance, scalability, and reliability in production environments.</li></ul><h3>You Bring:</h3><p>Required:</p><ul><li>Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related field.</li><li>5+ years of robust, hands-on experience in software engineering, ML engineering, or ML platform development.</li><li>2+ years of experience in areas such as deep learning, LLMs, NLP, speech, conversational AI, ML infrastructure, fine-tuning, and PyTorch model optimization.</li><li>Strong knowledge of traditional ML techniques, including supervised/unsupervised learning, feature engineering, and model evaluation.</li><li>Expert-level proficiency in Python for ML and data workflows; experience with Java, Go, Rust, or C/C++ is a plus.</li><li>Deep experience with Large Language Models (e.g., LLaMA, GPT, Claude, Falcon), including architectural tradeoffs, capabilities, and deployment considerations.</li><li>Hands-on expertise in deep learning frameworks like PyTorch and/or JAX, and tools such as ONNX, Triton, or Torch-TensorRT.</li><li>Proven experience designing and deploying scalable, high-performance AI systems in cloud environments (preferably AWS).</li><li>Familiarity with ML workflow orchestration tools like Airflow, MLflow, SageMaker, or Vertex AI.</li><li>Solid understanding of RAG pipelines, including hybrid search and vector databases (e.g., FAISS, Weaviate, Pinecone).</li><li>Ability to clearly articulate complex technical concepts to both engineering and business stakeholders.</li></ul><p>Preferred:</p><ul><li>Experience with model observability, feature stores, and online/offline inference systems.</li><li>Familiarity with MLOps best practices, including monitoring, drift detection, and model governance.</li><li>Track record of mentoring other engineers or contributing to open-source ML/AI projects.</li><li>Experience working in a high-growth or fast-paced tech environment with cross-functional teams.</li></ul><div><strong>**This is an onsite role working in our headquarters in Newark, CA.**</strong></div><div>&nbsp;</div><div>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.</div><div><div><div><div><strong>Salary Range</strong>: The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors.</div><div>&nbsp;</div><div><strong>Additional Compensation and Benefits</strong>: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. &nbsp;(Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)</div></div><div>Base Pay Range (Annual)</div><div><span>$140,000</span><span>—</span><span>$192,500 USD</span></div></div></div><div><div><p>By Submitting your application, you understand and agree that your personal data will be processed in accordance with our <a href="https://www.lucidmotors.com/s3fs-public/pdf/candidate-privacy-notice.pdf">Candidate Privacy Notice</a>. If you are a California resident, please refer to our <a href="https://www.lucidmotors.com/s3fs-public/pdf/california-candidate-privacy-notice.pdf">California Candidate Privacy Notice</a>.</p></div><div><strong>To all recruitment agencies</strong>: <em>Lucid Motors <strong>does not</strong> accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.&nbsp;</em></div><div>&nbsp;</div></div>

Senior AI/ML Engineer

About the Job

About the Company

Lucid Motors

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