Autonomous Driving AI Scientist

Mitsui Chemicals Group; Madrid; Hybrid; EUR 55,000 - 85,000; Full time

Benefits offered by this job

Flexible working hours

Exciting projects

Employee events

Attractive salary

Creative scope

Sports and wellness offers

Job summary

ARRK Engineering Spain is seeking a skilled AI/ML engineer to craft perception and autonomy solutions for automated driving. You will work with multimodal sensor data, train DL/vision models, and collaborate with software and systems teams in a dynamic hybrid setting in Madrid.

The role emphasizes cutting-edge research, real-time performance, and automotive platform integration. English fluency and hands-on PyTorch/OpenCV/Docker experience are valued.

Qualifications

• Degree in a technical field such as CS/AI/Math/Engineering.
• Hands-on ML/DL/Computer Vision experience from projects or internships.
• Good Python skills; C++/Rust/SQL are a plus.
• Experience with PyTorch, OpenCV, and modern AI libraries.

Responsibilities

• Develop and implement ML solutions for ADAS and automated driving.
• Analyze multimodal sensor data (camera, radar, LiDAR).
• Train and optimize DL/vision models for perception and prediction.
• Evaluate AI tech including Foundation Models, Vision-Language Models, Generative AI, Edge AI.
• Collaborate with software, systems engineers, and data scientists to integrate AI.

Skills

Python

C++

Rust

SQL

Machine Learning

Deep Learning

Computer Vision

NLP

Education

Computer Science

Artificial Intelligence

Data Science

Robotics

Mathematics

Physics

Tools

PyTorch

TensorFlow

OpenCV

NumPy

Pandas

Docker

Git

Linux

Job description

ARRK Engineering Spain is seeking a skilled AI/ML engineer to craft perception and autonomy solutions for automated driving. You will work with multimodal sensor data, train DL/vision models, and collaborate with software and systems teams in a dynamic hybrid setting in Madrid.

The role emphasizes cutting-edge research, real-time performance, and automotive platform integration. English fluency and hands-on PyTorch/OpenCV/Docker experience are valued.