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September 6, 2026

Expert AI/ML Engineer

Senior • On-site

Krakow, Poland

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, and 3D perception.
    • Deep learning architectures: CNNs, Transformers, and 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 can grow in 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 value, with a goal of zero fatalities, zero injuries, and zero accidents.

You have support through resources for family, physical health, and mental health, including a competitive health insurance package.

Benefits

  • Private health care (Signal Iduna) and life insurance for you and your loved ones.
  • Well-Being Program, including regular webinars, workshops, and networking events.
  • Hybrid work: minimum 47 days per year of remote work and flexible working hours.
  • Employee Pension Plan paid by the employer: an additional 3.5% on each gross salary.
  • Access to sports groups and a Multisport card.

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