Lucid Club
ADAS Data Annotation Engineer
Lucid Club, Newark, California, United States, 94560
Lucid Motors is dedicated to crafting luxury electric vehicles that elevate the driving experience and transcend traditional automotive boundaries. The company aims to lead the new era of electric luxury by prioritizing exceptional design and environmental consideration. Prospective candidates are invited to join a community of innovators passionate about creating a sustainable future.In this role you can expect to have the responsibilities:
Understand and implement ADAS data annotation guidelines for accurate dataset labeling.Develop and maintain pipelines to automate the data annotation process using scripting and programming skills.Collaborate with Perception and Data Engineers to ensure annotated data meets machine learning model requirements.Apply Computer Vision and Machine Learning fundamentals to develop algorithms that enhance data annotation accuracy.Contribute to the platform development for scalable ADAS data labeling, providing input on architecture, tools, and processes.This role comes with the following benefits:
Be a part of a cutting-edge team developing next-generation ADAS technologies.Opportunity to work on challenging projects impacting the future of autonomous driving.Collaborative and innovative work environment with professional growth opportunities.This role requires you to have:
Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.Proven experience in data annotation, particularly in the ADAS or automotive sector.Strong background in Computer Vision and Machine Learning.Proficiency in programming languages such as Python, C++, or similar.Familiarity with annotation tools like Labelbox or CVAT.You would benefit from having:
Knowledge of ADAS systems and sensor technologies such as LiDAR, cameras, and radar.Experience with automation frameworks and pipeline development.Lucid Motors does not accept agency resumes and is not responsible for related fees.
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Understand and implement ADAS data annotation guidelines for accurate dataset labeling.Develop and maintain pipelines to automate the data annotation process using scripting and programming skills.Collaborate with Perception and Data Engineers to ensure annotated data meets machine learning model requirements.Apply Computer Vision and Machine Learning fundamentals to develop algorithms that enhance data annotation accuracy.Contribute to the platform development for scalable ADAS data labeling, providing input on architecture, tools, and processes.This role comes with the following benefits:
Be a part of a cutting-edge team developing next-generation ADAS technologies.Opportunity to work on challenging projects impacting the future of autonomous driving.Collaborative and innovative work environment with professional growth opportunities.This role requires you to have:
Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.Proven experience in data annotation, particularly in the ADAS or automotive sector.Strong background in Computer Vision and Machine Learning.Proficiency in programming languages such as Python, C++, or similar.Familiarity with annotation tools like Labelbox or CVAT.You would benefit from having:
Knowledge of ADAS systems and sensor technologies such as LiDAR, cameras, and radar.Experience with automation frameworks and pipeline development.Lucid Motors does not accept agency resumes and is not responsible for related fees.
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