About the position
Hyundai America Technical Center, Inc. (HATCI) is a highly respected R&D organization creating and applying innovative technology, developing products of the future, and continuously improving quality. As a company, we are on the cutting edge of technology and recognize the vital importance and impact automobiles have on society. HATCI prides itself in playing a role that extends beyond being a simple vehicle manufacturer to become a 'lifetime partner in automobiles and beyond' and participates in working 'together for a better future' as a fundamental of Hyundai Motor Group. The Autonomous Driving Software (ADS) Development team in Hyundai America Technical Center, Inc. (HATCI) is an engineering and data science team that focuses on improving performance and expanding ADAS/AD features and services of Hyundai/Kia/Genesis vehicles for the North American (NA) market.
Responsibilities
- Design, train, and evaluate machine learning (ML) models for perception tasks such as object detection, classification, and segmentation using real-world as well as synthetically generated data
- Work with large-scale datasets, perform data curation, annotation analysis, and data-driven error diagnosis
- Develop or improve automated data annotation pipelines leveraging ML and active learning strategies
- Design and evaluate experiments involving synthetic and real-world data mixing, including ablation studies to assess the impact of data and architecture choices
- Collaborate with other engineers to deploy models on embedded hardware (e.g., NVIDIA Jetson, TDA4 EVB)
- Conduct empirical studies and ablation experiments to improve performance through data selection, augmentation, and annotation strategies, rather than architectural complexity, to support vision AI workflows
- Stay up to date with the latest research and trends in computer vision and ML, especially in the autonomous driving domain
Requirements
- B.S. in Computer Science, Electrical Engineering, or a related field with a focus on ML or vision data-centric AI
- Experience with deep learning frameworks (PyTorch, TensorFlow, etc.)
- Solid understanding of ML fundamentals including model training, validation, and deployment - with an emphasis on data quality and data-centric development
- Proficiency in Python and familiarity with C++
- Experience in computer vision with proficiency in libraries such as OpenCV
- Experience working with image datasets and conducting experiments (ablation studies, data augmentation strategies)
- Strong communication skills and collaborative mindset
Nice-to-haves
- MS or PhD level education in Engineering or Computer Science with a focus on Deep Learning, Artificial Intelligence, Computer Vision or a related field or commensurate work experience
- Experience with data annotation workflows and auto-labeling tools; knowledge of annotation standards for computer vision tasks
- Experience analyzing and optimizing ML model performance through data analysis (e.g., mining edge cases or hard negatives, dataset balancing)
Benefits
- Zero-dollar Employee Premiums on Medical, Dental, and Vision for You and Your Family
- 100% Employer-paid Disability and Life Insurance
- Hybrid Work Schedule
- Generous Paid Time Off Including Vacation, Sick, and Abundant Holidays
- Competitive Salaries
- A Global Environment that Fosters Diversity
- Retirement Savings and Planning Benefits
- Access to Health Savings Accounts and Flexible Spending Accounts
- Flexible Work Hours
