Wait, What Do You Do?

What you’ll work on

Work on cutting-edge AI technologies that power future ADAS and automated driving systems
Collaborate with experienced researchers and engineers in a highly innovative international environment
Develop both research and engineering skills while contributing to products deployed in customer vehicles

From the employer’s posting

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

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

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Upload resume Add LinkedIn

Pay, work setup, and employment type unconfirmed

Not confirmed in this saved copy: pay, work setup, employment type. Check the full posting

Tools in this posting

python
transformers

Source

- Computer vision (detection, segmentation, tracking, 3D perception) - Deep learning techniques (CNNs, Vision Transformers, foundation models) - Sequential or temporal modeling and processing

- 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

Find answers in the posting

Already applied? Track this application

About applying

Apply opens the employer’s site in a new tab. Add your outcome here after you submit.

Source details & eligibility

Before you apply

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay: No pay amount identified in the saved description.
Location & working pattern: Krakow, Poland
- 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)
Work authorization: No clear work-authorization passage found. Eligibility is unconfirmed.

Open source at aptiv.wd5.myworkdayjobs.com ↗Read the full description ↓

Posting history

Status in our records: Active
First recorded: Sep 7, 2026

We weren’t watching this one from the start, so we can’t say how long it has been open.

Report an error

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

#LI-PP1

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.