AI/ML Engineer

Aptiv; Poland; Hybrid; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work

Private health care

Life insurance

Well-Being Program

Pension Plan

Sports groups

Job summary

Aptiv is seeking a Master’s-level candidate to contribute to cutting-edge AI for ADAS and automated driving. You will apply machine learning and computer vision techniques to real-world automotive challenges and gain hands-on experience with large-scale datasets and production-oriented workflows.

You will collaborate with researchers and engineers in an international environment, exploring foundation models, multi-modal learning, and automated parking while developing both research and

Qualifications

• Master's degree (or close to completion) in Computer Science, ML, CV, Robotics, EE, Math, Physics, or related field.
• Strong analytical and problem-solving skills with formal math/ML background.
• Reading and understanding scientific literature and translating ideas into code.

Responsibilities

• Work on cutting-edge AI technologies powering ADAS and automated driving systems.
• Apply ML and CV techniques to real-world automotive challenges.
• Gain hands-on experience with large-scale datasets and production-oriented workflows.
• Collaborate with researchers and engineers in an international environment.
• Explore foundation models, multi-modal learning, and automated parking.

Skills

Python

Machine Learning

Computer Vision

Deep Learning

PyTorch

Research Skills

English Communication

Education

Master's degree in CS/ML/CV or related field

Tools

PyTorch

Git

Job description

Your role

• Work on cutting-edge AI technologies that power future ADAS and automated driving systems


• Apply state-of-the-art machine learning and computer vision techniques to real-world automotive challenges


• Gain hands-on experience with large-scale datasets, modern AI frameworks, and production-oriented development workflows


• Collaborate with experienced researchers and engineers in a highly innovative international environment


• Explore emerging areas such as foundation models, multi-modal learning, behavior prediction, and automated parking


• Develop both research and engineering skills while contributing to products deployed in customer vehicles

Your background

• Master's degree (or close to completion) in Computer Science, Machine Learning, Computer Vision, Robotics, Electrical Engineering, Mathematics, Physics, or a related field


• Strong analytical and problem-solving skills with a solid foundation in mathematics, statistics, and machine learning


• Good understanding of machine-learning fundamentals and deep-learning concepts


• Academic, internship, research, or project experience in one or more of the following areas: Computer vision (detection, segmentation, tracking, 3D perception)


• Deep learning techniques (CNNs, Vision Transformers, foundation models)


• Sequential or temporal modeling and processing


• Representation learning, self-supervised learning, or generative AI


• Multi-modal learning


• Hands-on experience with Python and at least one modern ML framework (preferably PyTorch)


• Experience implementing, training, or evaluating machine-learning models through coursework, research projects, internships, or personal projects


• Ability to read and understand scientific literature and translate research ideas into practical implementations


• Good communication skills in English


• Exceptional recent graduates with strong academic performance, research experience, internships, or outstanding personal projects are encouraged to apply.

Nice to have

• Experience through internships, thesis work, research projects, open-source contributions, competitions, or personal projects related to AI/ML


• Knowledge of perception, prediction, planning, robotics, or autonomous systems


• Experience with multi-sensor processing (camera, radar, lidar, IMU)


• Familiarity with large language models, vision-language models, or foundation models


• Experience with model optimization, deployment, or efficient inference


• Knowledge of C++ and software engineering best practices


• Exposure to cloud-based or large-scale training environments


• Familiarity with automotive, ADAS, autonomous driving, or robotics applications


• Contributions to scientific publications, patents, open-source projects, or technical competitions


• Experience working with Git, CI/CD, and collaborative development workflows

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 ones


• Well-Being Program that includes regular webinars, workshops, and networking events


• Hybrid 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

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.

Aptiv is a global technology company that develops safer, greener and more connected solutions enabling the future of mobility. Headquartered in Dublin, Aptiv has approximately 180,000+ employees and operates 12 technical centers, as well as manufacturing sites and customer support centers in 44 countries. Visit aptiv.com.