Machine Learning Engineer

The posting, as Lucid Motors wrote it

About Lucid

At Lucid, we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucid’s proprietary technology and software-defined vehicle architecture, our award-winning vehicles bring our “Compromise Nothing™” approach to the global automotive market. That means refusing to choose between performance and sustainability, design and engineering, ambition and integrity. In Lucid Air and Lucid Gravity, we have designed and built vehicles that have redefined their segments, combining exceptional range, performance, design, and expansive space in a single experience.

We achieve this through deep vertical integration, with design, engineering, and production happening in-house across our global offices and manufacturing facilities. Our teams come from industries around the world, united by a shared commitment to excellence. By refusing to settle, you can help redefine what’s possible and shape the future of mobility.

The GeoAI team is building next-generation AI-powered data automation platforms for ADAS and autonomous driving. We are seeking a Machine Learning Engineer to develop scalable auto-labeling technologies that transform fleet-collected sensor data into high-quality training datasets with minimal human intervention.

This role sits at the intersection of machine learning, computer vision, spatial AI, cloud infrastructure, and large-scale data engineering. You will work on perception models, 3D scene reconstruction, foundation models, distributed ML systems, and automated data-generation platforms that accelerate autonomous-driving development.

You will help design, deploy, and operate production-scale machine learning workloads on AWS, supporting the ingestion, processing, training, inference, validation, and delivery of petabyte-scale vehicle and sensor data.

The Role

Build Automated Data Labeling Systems

• Develop scalable auto-labeling solutions for camera and LiDAR data, including object detection, segmentation, tracking, occupancy, and scene understanding.
• Create label validation, quality monitoring, and active-learning workflows to improve accuracy and reduce manual effort.
• Design cloud-based data processing pipelines for large-scale autonomous vehicle datasets.

Develop Perception & Sensor Fusion Models

• Train and optimize camera, LiDAR, and multimodal perception models for detection, tracking, segmentation, and occupancy estimation.
• Build fusion systems leveraging camera, LiDAR, radar, GNSS/IMU, and map data.
• Improve model performance across diverse driving environments and edge cases.

Apply Foundation Models & AI Automation

• Leverage VLMs, VLAs, and multimodal foundation models for data annotation, validation, scene understanding, and edge-case discovery.
• Build AI-powered workflows that streamline dataset search, curation, and quality assurance.
• Evaluate and productionize emerging AI research.

Build & Scale ML Infrastructure

• Design and operate cl

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e benefits package including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays, paid sick leave; and a 401(k) retirement plan. Hourly/non-exempt employees accrue up to 120 hours paid time off, and salaried/exempt employee accrue up to 160 hours paid time off. Eligible employees may also participate in Lucid’s equity program and/or a discretionary annual cash incentive program. Incentive and equity awards, if applicable, are determined based on individual performance, role scope, market considerations, and overall company results, in accordance with the terms of the applicable plans.

Equal Opportunity: At Lucid, we believe diversity strengthens everything we build. Lucid Motors is proud to be an equal opportunity employer and is committed to providing an inclusive workplace for all. We consider all qualified applicants without regard to race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity or expression, marital status, or any other characteristic protected by applicable state or federal laws and regulations.

Accessibility: Lucid Motors is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need any accommodation to participate in the application process, please contact us at TA-Operations <@> lucidmotors.com . This email address is designated solely for accommodation requests and is not monitored for job applications or resume submissions. To be considered for employment, all applications must be submitted through the Lucid Motors Careers website.

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To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to Lucid Motors. Lucid Motors is not responsible for any fees related to unsolicited resumes.