AI / Machine Learning Model Development Engineer

Mobis North America • Plymouth, MI

1d

About The Position

MOBIS Technical Center of North America is the Research & Development Center for Hyundai MOBIS, a Tier 1 supplier and an affiliate under Hyundai Motor Group. The company develops and supplies automotive components and engineering solutions, including autonomous driving, infotainment, safety systems, and software.

The AI/Machine Learning Model Development Engineer supports ongoing research and engineering projects. Working with engineers and researchers, the engineer helps train and evaluate machine learning models and deploy them on embedded systems. The role operates under defined corporate policies and procedures, exercises judgment appropriate to its level, may influence functional operations and recommendations, and escalates matters as needed. Occasional international travel and frequent local travel are expected. A typical work week is 45 hours, with flexible weekday start times, typically between 7 a.m. and 9 a.m.

Requirements

• Bachelor's or master's degree in Computer Science, Engineering, Statistics, or a related field.
• Foundational understanding of machine learning concepts, including supervised and unsupervised learning.
• Knowledge of model evaluation methodologies and feature engineering practices.
• Proficiency in Python and familiarity with common data processing libraries.
• Experience with basic statistics, data cleaning, and visualization.
• Hands-on experience with ML frameworks such as PyTorch, TensorFlow, and Keras.
• Strong analytical thinking and problem-solving skills.
• Excellent communication and technical documentation skills.
• Ability to collaborate effectively with engineers and researchers in a team environment.
• Ability to learn and adapt to new technologies, tools, and methodologies.

Nice To Haves

• Experience working with Jenkins for CI/CD pipelines.
• Experience working with Hugging Face transformers and LLM models.
• Exposure to embedded systems, edge AI, or deployment technologies such as TensorRT, ONNX, or TensorFlow Lite (TFLite).
• Experience with sensor data, driving simulators, or automotive datasets.
• Experience using Git or other version-control platforms.
• Understanding of data pipelines, automation, or experimental design.

Responsibilities

• Collect, preprocess, and analyze datasets to support machine learning model development.
• Train, validate, and fine-tune ML models under the guidance of engineers and researchers.
• Evaluate model performance using appropriate metrics and testing methodologies.
• Help optimize models for embedded or resource-constrained systems.
• Implement model inference pipelines and assist with integrating ML models into production environments.
• Stay current with ML techniques, tools, and frameworks relevant to projects.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level