Expert Machine Learning Engineer

Aptiv

Kraków

Hybrid

PLN 150,000 - 230,000

Full time

3 days ago
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Benefits offered by this job

Private health care
Life insurance
Well-Being program
Hybrid work
Pension plan
Multisport card

Job summary

Aptiv in Kraków invites talented ML engineers to design, train, and deploy state-of-the-art camera-based perception models. You will work with transformers, vision transformers, CNNs, and self-supervised learning in an international team.

You will optimize model performance, robustness, and latency, collaborate with software and validation teams, and contribute to software quality through testing, documentation, and code reviews.

Qualifications

  • Master's degree or higher in computer science, applied mathematics or related field.
  • Hands-on experience with transformers, vision transformers, CNNs, and representation learning.
  • Experience with self-supervised or semi-supervised learning.
  • Strong foundations in linear algebra, probability, and optimization.
  • Strong Python programming and production-quality code.
  • Commitment to software quality including testing, docs, code reviews, and reproducible development practices.
  • Excellent written and verbal English communication.

Responsibilities

  • Design, train, evaluate, and optimize state-of-the-art machine learning models for camera-based perception.
  • Apply modern approaches such as transformers, vision transformers, CNNs, 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.

Skills

Transformers
Vision transformers
Convolutional neural networks
Representation learning
Self-supervised learning
Large-scale model training
Python
Software quality
Communication skills

Education

Master's degree in computer science or related field

Tools

Git
CI/CD
Rust
Docker
Kubernetes

Job description

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.
Qualifications
  • 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
  • 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 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.

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 #LI-MC1

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 industrial technology company enabling automated, electrified and digitalized solutions across multiple end markets. People trust us to deliver innovations that will help them progress, improve and achieve more tomorrow than they did yesterday.

To Learn more visit aptiv.com. Please review Aptiv's privacy policy by following this link: https://www.aptiv.com/privacy-notice

#LI-MC1 Privacy Notice - Active Candidates: https://www.aptiv.com/privacy-notice-active-candidates

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