About this role
The Auto Ground Truth Intern in the AI/ML Data Engineering team develops solutions for extracting, transforming, and loading data into cloud platforms and tools. This role focuses on automated and distributed processing pipelines that leverage reference (ground truth) data from sensors such as LiDAR, cameras, IMUs, and global positioning systems.
Your Role
Develop data pipelines and data processing tools to support AI/ML training workflowsBuild APIs; clean, transform, and organize raw and processed dataDefine data quality metrics and implement data enrichment and analysis methods within AI/ML data platformsMaintain clear communication with product, engineering, and development teamsCollaborate and actively participate in project meetingsSupport documentation and continuous process improvements. Your Background
Proficiency in software development using Python, C++, scripting and query languages (e.g., bash, SQL)Basic knowledge of cloud environments such as AWS or Azure and Docker / ContainersFoundational knowledge of statistics and data scienceEducational or technical background in Computer Science or a related field. WHY JOIN US?
You can grow at Aptiv. Aptiv provides an inclusive work environment where all individuals can grow and develop, regardless of gender, ethnicity or beliefs.You can have an impact. Safety is a core Aptiv value; we want a safer world for us and our children, one with: Zero fatalities, Zero injuries, Zero accidents.You have support. We ensure you have the resources and support you need to take care of your family and your physical and mental health with a competitive health insurance package. Privacy Notice - Active Candidates: https://www.aptiv.com/privacy-notice-active-candidates
Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.