Machine Learning Algorithm Engineer ADAS & AD
Description For Machine Learning Algorithm Engineer ADAS & AD
Aptiv, a global technology leader with 180,000+ employees, is seeking a Machine Learning Algorithm Engineer for their ADAS & AD team in Krakow, Poland. This role combines cutting-edge AI development with automotive applications, focusing on developing and evaluating machine learning models for Advanced Driver Assistance Systems and Autonomous Driving. The position offers a unique opportunity to work on technology that directly impacts vehicle safety and the future of mobility.
The ideal candidate will have a strong foundation in machine learning, with expertise in Python, C++, or Rust, and experience with cloud platforms like Azure or AWS. You'll be responsible for developing ML models, conducting research, implementing AutoML pipelines, and ensuring robust model validation. The role requires both technical expertise and the ability to translate research into practical applications.
Aptiv offers an inclusive work environment focused on safety and innovation, with comprehensive benefits including private healthcare, life insurance, and a well-being program. The hybrid work model provides flexibility with minimum 47 days of remote work annually. The company's mission of creating safer, greener, and more connected mobility solutions makes this an impactful role for someone passionate about combining AI with automotive technology.
Working at Aptiv means joining a team dedicated to zero fatalities, zero injuries, and zero accidents through technological innovation. The position offers growth opportunities, competitive compensation, and the chance to work on projects that directly influence the future of transportation safety and automation.
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 proof-of-concepts
- Analyze test results and make data-driven recommendations for model improvements
- Create and use cloud-based services for data storage, processing, training and analysis
- Conduct model evaluation and validation
- Implement and optimize automated machine learning (AutoML) 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, data mining, statistics, and analysis of large data sets
- Experience 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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