Machine Learning Algorithm Engineer ADAS & AD
Description For Machine Learning Algorithm Engineer ADAS & AD
Aptiv, a global leader in automotive technology, is seeking a Machine Learning Algorithm Engineer for their ADAS & AD team in Krakow, Poland. This role offers an exciting opportunity to work on cutting-edge autonomous driving technologies, combining advanced machine learning with automotive applications. The position involves developing and evaluating ML models for various ADAS & AD applications, conducting research on state-of-the-art techniques, and implementing cloud-based AI/ML workflows.
The ideal candidate will have a Master's degree in Computer Science and strong expertise in Python, C++, or Rust, along with solid experience in AI/ML. You'll be working in a hybrid environment with flexible working hours and will be responsible for developing breakthrough technologies that make mobility safer, greener, and more connected.
Aptiv offers comprehensive benefits including private healthcare, life insurance, a well-being program, and an employer-paid pension plan. With approximately 180,000+ employees worldwide and 12 technical centers, Aptiv provides an inclusive work environment where individuals can grow and develop, regardless of their background.
This role presents an excellent opportunity to directly impact the future of autonomous driving technology while working for a company committed to zero fatalities, zero injuries, and zero accidents in automotive safety. You'll be part of a team that values innovation, research, and practical implementation of cutting-edge technologies in the automotive industry.
Responsibilities For Machine Learning Algorithm Engineer ADAS & AD
- Develop and evaluate machine learning models for ADAS & AD applications
- Conduct research of state-of-the-art materials and implement approaches
- Analyze test results and make data-driven recommendations
- Create and use cloud-based services for AI/ML workflows
- Conduct model evaluation and validation
- Implement and optimize automated machine learning pipelines
Requirements For Machine Learning Algorithm Engineer ADAS & AD
- M.Sc. degree in computer science or related field
- Expertise in Python, C++ or Rust
- Solid experience in artificial intelligence and machine learning
- Practical experience in data science and analysis of large data sets
- Ability to combine research and development skills
- Familiar with cloud environments (Azure or AWS)
- Experience using data modeling tools
- Good communication skills
Benefits For Machine Learning Algorithm Engineer ADAS & AD
- Private health care (Signal Iduna) and Life insurance
- Well-Being Program with webinars, workshops, and networking events
- Access to sports groups and Multisport card
- Hybrid work (min. 47 days/yr of remote work, flexible working hours)
- Employee Pension Plan paid by employer (3.5% on gross salary)
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