Summary
✨ AI‑Generated
A senior-level AI and machine learning role focused on designing, developing, and optimizing intelligent models for perception, prediction, and decision-making systems. The position involves computer vision, sensor data processing, machine learning pipelines, large-scale datasets, and collaboration across engineering teams.
Highlights
Advanced AI engineering opportunity focused on developing machine learning solutions, working with complex data, and contributing to innovative intelligent systems in a collaborative engineering environment.
Description
Aptiv is a global technology company developing solutions for safer, greener, and more connected mobility.
For our engineering center in Krakow, Poland, we are seeking an Expert AI/ML Engineer to drive the design and technical direction of advanced machine learning solutions for perception, behavior understanding, prediction, and planning in automotive applications.
The role supports assisted and automated parking systems, spanning perception, environment understanding, trajectory prediction, and automated maneuver planning.
Your role
Develop and optimize machine learning models for perception, prediction, and planning applications.Design solutions for computer vision and multi-modal sensor processing.Contribute to trajectory forecasting and automated planning algorithms.Build and maintain data processing, training, and evaluation pipelines.Analyze large-scale datasets and validate model performance in real-world scenarios.Collaborate with software, systems, and product engineering teams.Contribute to continuous improvement of algorithms, tools, and development processes.
Your background
MSc in Computer Science, Machine Learning, Computer Vision, Robotics, or a related field.Experience developing ML solutions in computer vision, machine learning, robotics, or related domains.Strong foundation in linear algebra, probability, and optimization.Hands-on experience in several of:Computer vision (detection, segmentation, tracking, 3D perception)Deep learning architectures (CNNs, Transformers, Vision Transformers)Temporal or sequential modelingRepresentation learning, self-supervised learning, or multimodal learningExperience with PyTorch or equivalent ML frameworks.Strong Python programming skills.Experience working with datasets, training pipelines, and model evaluation.Good English communication skills.
Preferred
Experience with trajectory prediction, planning, or reinforcement learning.C++ programming experience.Experience with large-scale training infrastructure.Knowledge of model deployment and optimization.Experience with embedded or edge AI systems.Familiarity with ADAS, autonomous driving, or automotive datasets.Experience with Git, CI/CD, and Agile development.PhD or scientific publications.
Why join us?
You can grow at Aptiv.
Aptiv provides an inclusive work environment where all individuals can grow and develop, regardless of gender, ethnicity or beliefs.
You can have an impact.
Safety is a core Aptiv value; we want a safer world for us and our children, one with: Zero fatalities, Zero injuries, Zero accidents.
You have support.
We ensure you have the resources and support you need to take care of your family and your physical and mental health with a competitive health insurance package.
Your Benefits at Aptiv:
Private health care (Signal Iduna) and Life insurance for you and your beloved onesWell-Being Program that includes regular webinars, workshops, and networking eventsHybrid work (min.
47 days/yr of remote work, 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
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.
