What are the responsibilities and job description for the Machine Learning Engineer in Algorithm Development Team position at POL Aptiv Services Poland S.A.?
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
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!
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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.
