AI/ML Engineer
At a glance
Mid-level Machine Learning Engineering role at Aptiv. Krakow · full-time.
Pay not stated Machine Learning Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Apply machine-learning and computer-vision methods to automotive problems in driver-assistance and automated-driving systems
- Use large datasets and contemporary AI frameworks in workflows geared toward production
- Investigate topics including foundation models, multimodal learning, behavior forecasting and automated parking
- Build research and engineering capability while helping develop products used in customer vehicles
What you bring
- A master's degree, or near completion, in computer science, robotics, mathematics or another listed discipline
- A strong base in math, statistics and machine learning, plus familiarity with deep-learning principles
- Practical Python experience and use of at least one current machine-learning framework
- Experience building, training or evaluating models through coursework, research, internships or personal projects
- You can understand scientific papers, turn research concepts into working implementations and communicate in English
Who this fits
This role suits a graduate-level candidate with practical model-building experience; strong recent graduates are encouraged to apply. The position is in Krakow and offers hybrid work, flexible hours and at least forty-seven remote-work days each year.
From the employer
Are you passionate about Artificial Intelligence, machine learning, and computer vision, and interested in applying these technologies to real-world challenges? Join our team and contribute to the development of innovative AI solutions that are helping shape the future of mobility.
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 grow at Aptiv. Aptiv's winning culture is global by design. We bring together diverse perspectives, cultures, and business contexts to solve our customers' toughest challenges. In this environment, every individual can grow, lead, and make an impact, regardless of background, because inclusion fuels how we innovate and win.
- You make an impact at Aptiv. One of the strengths of humanity is our drive to progress, to improve, to achieve more tomorrow than we did yesterday. People need solutions they can trust when it matters most. At Aptiv, you are building those solutions every day.
- You have support at Aptiv. We ensure you have the resources and support you need to take care of your family, your physical health, and your mental health with a competitive benefits 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
Meet the Next Generation Aptiv
At Aptiv, we deliver innovative solutions that people trust when it matters most.
Progress is never static. It is about reaching further, exploring new possibilities, and enabling mobility. Aptiv empowers customers to create solutions people rely on—advancing safety and autonomy in Automotive and Commercial Vehicles, enabling mission-critical performance in Aerospace & Defense, and powering intelligent systems across Energy, Enterprise, and Telecommunications. We also drive precision and efficiency in Industrials & Robotics and support life-critical innovation in Medical technologies.
Guided by our winning culture and values to Think & Act Like Owners, as One Team, and Play to Win, we turn commitment into results and achieve more together.
Join Us to Deliver Innovative Solutions That People Trust!
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.