Machine Learning Engineer

Southfield, MIfull timeOn Site

H1B: no

Lucidmotors Machine Learning Engineer at Lucidmotors develops scalable auto-labeling technologies for autonomous driving datasets. The role involves building perception models, 3D scene reconstruction, and automated data-generation systems.

Responsibilities

Build Next-Generation Auto-Labeling Systems
Design and deploy production-scale auto-labeling solutions for 2D and 3D object detection, semantic and panoptic segmentation, lane and road-structure extraction, multi-object tracking, occupancy, scene understanding, and traffic-participant behavior.
Develop automated label validation, confidence scoring, consistency checks, and quality-monitoring frameworks.
Build active-learning and human-in-the-loop workflows that improve label quality while reducing manual annotation effort and turnaround time.
Create teacher-student and model-assisted labeling workflows for large-scale camera and LiDAR datasets.
Develop Advanced Perception and Fusion Models
Research, train, and evaluate camera-based and LiDAR-based detection, segmentation, tracking, depth-estimation, and occupancy models.
Develop multimodal fusion models combining camera, LiDAR, radar, GNSS/IMU, and map context.
Improve temporal consistency, calibration robustness, and long-tail performance across diverse driving environments and edge cases.
Build end-to-end ML workflows from raw sensor ingestion and preprocessing through annotation, quality control, and dataset delivery.
Leverage Spatial AI and 3DGS
Develop 3D Gaussian Splatting (3DGS) and related reconstruction pipelines for large-scale driving scenes collected from fleet vehicles.

Qualification

MS or PhD in Computer ScienceSolid understanding of deep learningExperience developing detectionExperience buildingExperience in autonomous drivingHands-on experience with 3DGSExperience with camera-LiDAR fusionFamiliarity with VLMsAt Lucid

Required

MS or PhD in Computer Science, Machine Learning, Robotics, Computer Vision, or a related field.
Strong software-engineering skills in Python and/or C++, with hands-on experience using PyTorch or equivalent deep-learning frameworks.
Solid understanding of deep learning, computer vision, 3D geometry, multi-view reconstruction, sensor fusion, and transformer architectures.
Experience developing detection, segmentation, tracking, depth, occupancy, or multimodal perception models.
Experience building, evaluating, and deploying machine-learning systems using large-scale datasets.
Ability to work independently and collaborate effectively across research, software, data, and vehicle teams.

Preferred

Experience in autonomous driving, robotics, mapping, AR/VR, or spatial computing.
Hands-on experience with 3DGS, NeRF, neural rendering, world models, or synthetic data generation.
Experience building auto-labeling platforms, active-learning systems, human-in-the-loop workflows, or automated label-quality systems.
Experience with camera-LiDAR fusion, depth estimation, 3D detection and tracking, and multimodal foundation models.
Familiarity with VLMs, VLA models, SAM-family segmentation models, distributed computing, Docker, Kubernetes, CI/CD, and cloud ML infrastructure.
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.

Benefits

Dental
Vision
401(k)
PTO
Equity/RSU

Company

Lucidmotors

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Source: greenhouse

Active within the past hour

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