Senior AI/ML Engineer

Description

The company develops technology for safer, greener and more connected mobility. Its engineering center in Krakow, Poland is hiring a Senior AI/ML Engineer to build machine learning for perception, environment understanding, prediction and planning in cars.

The work centers on assisted and automated parking: understanding parking environments, interpreting how other actors behave, and planning trajectories.

Responsibilities

• Lead the build-out of machine learning for perception, prediction and planning.
• Make the main technical calls on architecture and algorithm design for complex AI/ML systems.
• Set the approach for computer vision and multi-modal sensor fusion.
• Oversee a system from data pipelines and model training through to deployment.
• Coach engineers and help them grow technically.
• Define how models are evaluated and what performance targets production systems must hit.
• Work with engineering teams around the world and help shape the technology roadmap.
• Keep improving algorithms, tooling and engineering practices.

Requirements

• An MSc or PhD in computer science, machine learning, computer vision, robotics or a closely related field.
• Extensive experience shipping machine learning solutions into production.
• Solid working knowledge of several of these areas: computer vision (detection, segmentation, tracking, 3D perception); modern deep learning and transformer models; representation learning, self-supervised, multimodal or generative AI; prediction, forecasting, planning or reinforcement learning.
• Hands-on depth in PyTorch or a comparable framework.
• Strong software engineering in Python, C++ or both.
• Experience taking a technical solution from concept to deployment.
• Clear communication and the ability to work well with stakeholders.
• Preferred: leading AI/ML projects or teams technically.
• Preferred: experience with large-scale training infrastructure and distributed learning.
• Preferred: experience with embedded deployment and performance optimization.
• Preferred: deep understanding of ADAS, autonomous driving or automated parking systems.
• Preferred: patents, publications or innovative product contributions.

Conditions

Hybrid work with at least 47 days a year of remote work and flexible working hours.

Candidates are considered regardless of background.

Benefits

• Private health care through Signal Iduna and life insurance for you and your family.
• A well-being program with regular webinars, workshops and networking events.
• An employer-paid pension plan, with the employer adding 3.5% of your gross salary.
• Access to sports groups and a Multisport card.