Expert Machine Learning Engineer
At a glance
Mid-level Machine Learning Engineering role at Aptiv. Krakow · full-time.
Pay not stated Machine Learning Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and assess machine-learning models that interpret camera images for vehicle perception
- Use transformer, convolutional, representation-learning, and self-supervised methods to develop perception models
- Make models more robust and accurate while reducing compute demands and inference delay
- Share technical knowledge and coordinate with software, systems, validation, and AI/ML colleagues
What you bring
- A master's degree or higher in computer science, applied mathematics, or a related discipline
- Hands-on work with several listed machine-learning or computer-vision methods, including large-scale training
- A strong grounding in linear algebra, probability, and optimization
- Strong Python skills, with a focus on maintainable production code and software quality
- Clear written and spoken English communication
Who this fits
This mid-level role suits an engineer focused on camera-based perception and model development. It is based in Krakow and offers hybrid work, with at least forty-seven remote-work days each year and flexible hours.
From the employer
At APTIV, we design, develop, and validate systems to improve safety and comfort in vehicles. This includes the development of innovative computer vision features and machine learning algorithms for exterior cameras. Examples of features are vehicle and pedestrian detection, lane detection, traffic sign and traffic light recognition.
APTIV is a global leader in radar and camera technology and a well-established supplier of sensing and compute hardware as well as software solutions. In this fast growing and innovative technology area, you would be working in an international team of computer vision and machine learning experts to shape the future of mobility with us.
Your role
- Design, train, evaluate, and optimize state-of-the-art machine learning models for camera-based perception.
- Apply modern approaches such as transformers, vision transformers, convolutional neural networks, representation learning, and self-supervised learning.
- Improve model performance, robustness, generalization, computational efficiency, and inference latency.
- Share knowledge and help strengthen engineering excellence within the team.
- Collaborate with software engineers, system engineers, validation teams, and other AI/ML specialists across an international organization.
Your background
- Master's degree or higher in computer science, applied mathematics or related field
- Practical experience with several of the following:
-Transformers and vision transformers
-Convolutional neural networks
-Representation learning
-Self-supervised or semi-supervised learning
-Classical computer vision
-Large-scale model training
- Strong foundation in linear algebra, probability, and optimization.
- Strong programming skills in Python and experience writing maintainable, production-quality code.
- A commitment to software quality, including testing, documentation, code reviews, and reproducible development practices.
- Strong analytical and problem-solving skills.
- Effective written and verbal communication skills in English.
Preferred Qualifications:
- Experience in development in Rust or C++
- Experience in development of production-grade AI solutions
- Experience with Git, CI/CD, and Agile development.
- Familiarity with ADAS, autonomous driving, or automotive datasets.
- Understanding of classical computer vision and camera calibration
- Experience with large-scale training infrastructure.
- Familiarity with embedded or resource-constrained AI deployment.
Why join Aptiv
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
- 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.