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
- Create and tune machine learning models for perception, prediction and planning in assisted or automated parking
- Develop computer vision and multi-sensor processing approaches, including trajectory forecasting and automated maneuvers
- Build and care for pipelines that prepare data, train models and assess their results
- Study large datasets and check how models perform in real-world conditions
- Work with software, systems and product engineers to improve algorithms, tools and development practices
What you bring
- An MSc in computer science, machine learning, computer vision, robotics or a related discipline
- Practical experience building machine learning solutions in computer vision, robotics or a related area
- Strong Python skills, experience with PyTorch or a comparable framework, and work on data, training and evaluation pipelines
- A solid grasp of linear algebra, probability and optimization, plus hands-on skill in several listed ML areas
- Good English communication skills
Who this fits
This role suits an engineer who can contribute across machine learning models, data pipelines and evaluation for automotive parking applications. The position is based in Krakow, Poland, and offers hybrid work with at least forty-seven remote days per year and flexible hours.
From the employer
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 Machine Learning 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 modeling
- Representation learning, self-supervised learning, or multimodal learning
- Experience 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 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.