Machine Learning Engineer

Aptiv, a global leader in automotive technology, is seeking a Machine Learning Engineer to join their team in Shanghai. This role sits at the intersection of artificial intelligence and automotive innovation, focusing on developing and implementing cutting-edge machine learning solutions for mobility applications.

The position offers an exciting opportunity to work with state-of-the-art ML technologies and AutoML frameworks while contributing to the future of autonomous and connected vehicles. As a Machine Learning Engineer, you'll be responsible for developing, evaluating, and deploying ML models using various techniques including supervised, unsupervised, and reinforcement learning.

You'll work with modern cloud platforms (AWS, Azure, Google Cloud) and utilize tools like Kubeflow Pipelines and Jenkins for implementing robust ML pipelines and CICD practices. The role involves close collaboration with cross-functional teams to ensure AI/ML solutions align with automotive development practices and industry standards.

Aptiv's global presence, with 180,000+ employees across 44 countries and 12 technical centers, provides an excellent environment for professional growth and innovation. The company's focus on developing safer, greener, and more connected mobility solutions makes this an ideal opportunity for those passionate about combining ML expertise with automotive technology advancement.

This role offers the chance to work on meaningful projects that directly impact the future of transportation, while being part of a company committed to equal employment opportunity and diversity. The position requires a blend of technical ML expertise, cloud computing knowledge, and understanding of automotive product development processes.