Machine Learning Engineer - Entry Level
Jobright.ai
Newark,
New jersey,
United States
Engineering
H-1B
Job posted on July 28, 2025
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Job Description:
Verified Job On Employer Career Site
Job Summary: Lucid Motors is a leading company in luxury electric vehicles, focused on elevating the human experience through innovative design. They are seeking a highly skilled Machine Learning Engineer to develop cutting-edge models for processing multimodal sensor data in Advanced Driver Assistance Systems and Autonomous Driving applications.
Responsibilities: • Design, develop, and deploy machine learning models for sensor fusion, temporal alignment, and perception in ADAS/AD use cases. • Integrate models into production workflows and debug performance issues related to misalignments, detection accuracy, and false positives. • Build and maintain pipelines using MLFlow or similar tools to automate training, validation, deployment, and monitoring. • Work with large-scale data collected from camera, LiDAR, radar, and vehicle telemetry to train and evaluate models. • Collaborate with annotation, data platform, and front-end teams to ensure seamless integration of perception models. • Drive improvements in object detection and scene understanding, both in 2D (camera) and 3D (LiDAR/Radar) domains. • Utilize methods such as Ray Casting, 3D point cloud segmentation, and tracking to enhance detection performance and reduce latency. • Contribute to optimizing active learning and sampling strategies to improve model generalization across edge cases.
Qualifications:
Required: • 2+ years of experience in automotive, robotics, or a related field, specifically in Perception or ML for ADAS/AD. • Proven experience building models using multimodal sensor data (camera, LiDAR, radar). • Deep understanding of object detection, sensor fusion, spatial-temporal modeling, and ray casting techniques. • Proficiency in Python, PyTorch/TensorFlow, and deep learning frameworks. • Experience with MLFlow, Kubeflow, or similar ML pipeline platforms. • Hands-on experience with deploying models to production, debugging, and profiling for performance optimization. • Solid understanding of 3D geometry, transformations, and calibration in the context of autonomous vehicles. • Familiarity with tools such as ROS, OpenCV, Open3D, and visualization libraries.
Preferred: • Experience working with HD maps, semantic segmentation, and tracking in autonomous driving environments. • Familiarity with AWS/GCP for distributed training and inference pipelines. • Experience collaborating with front-end and systems teams to integrate perception output into user-facing applications.
Company: Lucid Motors is an automotive company that specializes in electric cars. Founded in 2007, the company is headquartered in Newark, California, USA, with a team of 1001-5000 employees. The company is currently Public Company. Lucid Motors has a track record of offering H1B sponsorships.
APPLY NOW
Job Summary: Lucid Motors is a leading company in luxury electric vehicles, focused on elevating the human experience through innovative design. They are seeking a highly skilled Machine Learning Engineer to develop cutting-edge models for processing multimodal sensor data in Advanced Driver Assistance Systems and Autonomous Driving applications.
Responsibilities: • Design, develop, and deploy machine learning models for sensor fusion, temporal alignment, and perception in ADAS/AD use cases. • Integrate models into production workflows and debug performance issues related to misalignments, detection accuracy, and false positives. • Build and maintain pipelines using MLFlow or similar tools to automate training, validation, deployment, and monitoring. • Work with large-scale data collected from camera, LiDAR, radar, and vehicle telemetry to train and evaluate models. • Collaborate with annotation, data platform, and front-end teams to ensure seamless integration of perception models. • Drive improvements in object detection and scene understanding, both in 2D (camera) and 3D (LiDAR/Radar) domains. • Utilize methods such as Ray Casting, 3D point cloud segmentation, and tracking to enhance detection performance and reduce latency. • Contribute to optimizing active learning and sampling strategies to improve model generalization across edge cases.
Qualifications:
Required: • 2+ years of experience in automotive, robotics, or a related field, specifically in Perception or ML for ADAS/AD. • Proven experience building models using multimodal sensor data (camera, LiDAR, radar). • Deep understanding of object detection, sensor fusion, spatial-temporal modeling, and ray casting techniques. • Proficiency in Python, PyTorch/TensorFlow, and deep learning frameworks. • Experience with MLFlow, Kubeflow, or similar ML pipeline platforms. • Hands-on experience with deploying models to production, debugging, and profiling for performance optimization. • Solid understanding of 3D geometry, transformations, and calibration in the context of autonomous vehicles. • Familiarity with tools such as ROS, OpenCV, Open3D, and visualization libraries.
Preferred: • Experience working with HD maps, semantic segmentation, and tracking in autonomous driving environments. • Familiarity with AWS/GCP for distributed training and inference pipelines. • Experience collaborating with front-end and systems teams to integrate perception output into user-facing applications.
Company: Lucid Motors is an automotive company that specializes in electric cars. Founded in 2007, the company is headquartered in Newark, California, USA, with a team of 1001-5000 employees. The company is currently Public Company. Lucid Motors has a track record of offering H1B sponsorships.