Our team is responsible for the development of radar perception software end-to-end, e.g., processing data received from sensors, generating object data and estimating other important information in the surrounding environment.
Your Role:
We are looking for a Machine Learning Engineer for our Radar Perception Division at our site in Kraków.
In this role, you will actively contribute to the development and advancement of Hybrid Advanced Radar Perception:
- Investigate and develop Radar perception with traditional and ML approaches
- Development and integration of algorithms in C++ and Python
- Developing advanced machine learning algorithms for Radar perception
- Training and testing of deep neural networks and other ML models
- Relevant algorithmic problems include object detection and tracking, classification, segmentation, Kalman filtering
Want more jobs like this?
Get jobs in Krakow, Poland delivered to your inbox every week.
Your Background:
- A Master's in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or a related field.
- Good experience in C/C++ programming and/or Python, MATLAB
- Familiarity with machine learning concepts and algorithms or experience in Radar prediction algorithm development
- Very good English written and verbally
Your Benefits at Aptiv:
- Private health care (Signal Iduna) and Life insurance for you and your beloved ones
- Well-Being Program that includes regular webinars, workshops, and networking events
- Hybrid work (47 days of remote work per year) and flexible working hours
- Employee Pension Plan paid by the employer (you get + 3,5% on each gross salary)
- Access to sports groups and Multisport card
Apply today, and together let's change tomorrow!
#LI-BR1
Privacy Notice - Active Candidates: https://www.aptiv.com/privacy-notice-active-candidates
Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.