Job description:
ADAS Machine Learning Data Scientist 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. The team’s key roles and responsibilities are:
- New Technology Introduction to spearhead new technology conceptualization for future generation ADAS/AD experiences for the NA market through in-house development as well as strategic partnerships with key technology hubs such as universities, startups and research labs
- Software Development to expand Hyundai/Kia/Genesis ADAS/AD capabilities in coordination with the R&D Headquarters and other internal/external project partners
- Prototyping and Demonstration to develop prototypes and proof of concept demonstrations to various global teams within Hyundai Motor Group (HMG) for new ADAS/AD functions targeted for the NA market
- Software Strategy and Planning to identify market trends and customer needs for key ADAS/AD experience themes and selection of new concept ideas
- Data Collection and Curation for Production Applications to support development of data-driven machine learning models with NA data.
WHAT YOU WILL DO We are looking for a talented and curious Machine Learning Data Scientist with a focus on computer vision and deep learning to help us drive innovation in the ADAS space. You will play a key role in developing and optimizing ML models to interpret real-world driving environments. This role focuses on improving model performance and data processing cycle time through smart data strategies, synthetic-real data integration, and automated data workflows.
Key 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
WHAT YOU WILL BRING TO THE ROLE Basic Qualifications:
- 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
Preferred Qualifications:
- 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)
WHAT HYUNDAI CAN OFFER YOU - 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
OTHER DETAILS We believe in the unique contributions that individuals can bring to our team, so even if you don't meet every single requirement, we still encourage you to apply! We prioritize talent, potential and passion over experience and expertise.
Candidates applying for positions with Hyundai and KIA must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
