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ARRK Engineering GmbH · Madrid, Community of Madrid, Spain

Machine Learning Engineer Automated Driving (M/F/D)

Hybridfull timePosted 5 days ago
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Stack mentioned

pythonc++rustsqlpytorchtensorflownumpypandastransformerslinuxgitdockermlopsmachine-learningdeep-learningcomputer-visiongenerative-aidata-structuresartificial-intelligencedata-science

LOCATIONMadridCOMPANYARRK Engineering Spain, Sucursal en EspañaCONTRACT TYPEFull-timeForm of WorkHybride

What To Expect

You will work with large?scale sensor, vehicle, and fleet data to drive the development, validation, and optimization of automated driving functions.

In this role, you will implement and advance innovative, data?driven software solutions and directly contribute to shaping impactful projects.

You will have the opportunity to grow your expertise while collaborating with a motivated, supportive, and highly skilled team.

YOUR TASKS

YOUR PROFILE

Develop and implement Machine Learning solutions for Automated Driving and Advanced Driver Assistance Systems (ADAS)

Analyze and process multimodal sensor data from camera, radar, and LiDAR systems

Develop, train, and optimize Deep Learning and Computer Vision models for perception, scene understanding, and prediction tasks

Support the evaluation and integration of modern AI technologies, including Foundation Models, Vision-Language Models, Generative AI, and Edge AI

Contribute to the development of sensor fusion, perception, and environment modeling solutions for automated driving functions

Perform technology evaluations, benchmarking activities, and proof-of-concepts based on current scientific research and state?of?the?art methodologies

Collaborate closely with software developers, systems engineers, and data scientists to integrate AI solutions into automotive applications

Continuously optimize and validate algorithms with respect to performance, robustness, scalability, and real?time capability

Improve algorithm performance, robustness, scalability, and real?time capabilities

Support innovation projects and help transfer emerging research concepts into practical customer solutions and industrial applications

Successfully completed degree in Computer Science, Artificial Intelligence, Data Science, Robotics, Mathematics, Physics, or a comparable field

Initial practical experience in Machine Learning, Deep Learning, Computer Vision, or AI through internships, research projects, theses, or working student positions

Good knowledge of Python and ideally first experience with C++, Rust, or SQL

Experience with modern AI frameworks and libraries such as PyTorch, Hugging Face, TensorFlow, OpenCV, NumPy, or Pandas

Basic understanding of modern AI methods and architectures, including Computer Vision, Foundation Models, Vision Transformers, Vision?Language Models, Generative AI, or multimodal systems

First experience in processing and analyzing camera, radar, or LiDAR data is a plus

Familiarity with Linux, Git, Docker, cloud platforms, MLOps, Edge AI, or Embedded AI is a plus.

Passion for AI, Computer Vision, and Automated Driving technologie

Strong analytical mindset, proactive attitude, and willingness to learn

Excellent communication skills and fluency in German and English.

What To Expect

You will work with large?scale sensor, vehicle, and fleet data to drive the development, validation, and optimization of automated driving functions.

In this role, you will implement and advance innovative, data?driven software solutions and directly contribute to shaping impactful projects.

You will have the opportunity to grow your expertise while collaborating with a motivated, supportive, and highly skilled team.

YOUR TASKS

Develop and implement Machine Learning solutions for Automated Driving and Advanced Driver Assistance Systems (ADAS)

Analyze and process multimodal sensor data from camera, radar, and LiDAR systems

Develop, train, and optimize Deep Learning and Computer Vision models for perception, scene understanding, and prediction tasks

Support the evaluation and integration of modern AI technologies, including Foundation Models, Vision?Language Models, Generative AI, and Edge AI

Contribute to the development of sensor fusion, perception, and environment modeling solutions for automated driving functions

Perform technology evaluations, benchmarking activities, and proof?of?concepts based on current scientific research and state?of?the?art methodologies

Collaborate closely with software developers, systems engineers, and data scientists to integrate AI solutions into automotive applications

Continuously optimize and validate algorithms with respect to performance, robustness, scalability, and real?time capability

Improve algorithm performance, robustness, scalability, and real?time capabilities

Support innovation projects and help transfer emerging research concepts into practical customer solutions and industrial applications

YOUR PROFILE

Successfully completed degree in Computer Science, Artificial Intelligence, Data Science, Robotics, Mathematics, Physics, or a comparable field

Initial practical experience in Machine Learning, Deep Learning, Computer Vision, or AI through internships, research projects, theses, or working student positions

Good knowledge of Python and ideally first experience with C++, Rust, or SQL

Experience with modern AI frameworks and libraries such as PyTorch, Hugging Face, TensorFlow, OpenCV, NumPy, or Pandas

Basic understanding of modern AI methods and architectures, including Computer Vision, Foundation Models, Vision Transformers, Vision?Language Models, Generative AI, or multimodal systems

First experience in processing and analyzing camera, radar, or LiDAR data is a plus

Familiarity with Linux, Git, Docker, cloud platforms, MLOps, Edge AI, or Embedded AI is a plus.

Passion for AI, Computer Vision, and Automated Driving technologie

Strong analytical mindset, proactive attitude, and willingness to learn

Excellent communication skills and fluency in German and English.

Your Benefits

Exciting projects

Flexible working hours

Employee events

Sports and wellness offers

Pleasant working atmosphere

Hybrid work

CONTACT

Iliana Morales ******

- Privacy Policy

ARRK Engineering is part of the international ARRK group of companies and specialized in product development.

Within the ARRK group of companies we implement product developments from virtual development to prototypes and small series production.

Your Benefits

Exciting projectsFlexible working hoursEmployee eventsSports and wellness offersPleasant working atmosphereHybrid work

|-------------------|------------------------|-----------------|----------------------------|-----------------------------|-------------|

| Exciting projects | Flexible working hours | Employee events | Sports and wellness offers | Pleasant working atmosphere | Hybrid work |

CONTACT

Iliana Morales ******

- Privacy PolicyARRK Engineering is part of the international ARRK group of companies and specialized in product development.

Within the ARRK group of companies we implement product developments from virtual development to prototypes and small series production.For reasons of simplification, only the masculine form is used in this job advertisement.

However, persons of any gender and any orientation are always meant equally.Our job offer is equally directed at severely disabled persons and persons of equal status.

CONTACT

Iliana Morales ******

- Privacy Policy

ARRK Engineering is part of the international ARRK group of companies and specialized in product development.

Within the ARRK group of companies we implement product developments from virtual development to prototypes and small series production.

For reasons of simplification, only the masculine form is used in this job advertisement.

However, persons of any gender and any orientation are always meant equally.Our job offer is equally directed at severely disabled persons and persons of equal status.

What To Expect

ARRK Engineering is part of the international ARRK group of companies and specialized in product development.

Within the ARRK group of companies we implement product developments from virtual development to prototypes and small series production.

You will work with large?scale sensor, vehicle, and fleet data to drive the development, validation, and optimization of automated driving functions.

In this role, you will implement and advance innovative, data?driven software solutions and directly contribute to shaping impactful projects.

You will have the opportunity to grow your expertise while collaborating with a motivated, supportive, and highly skilled team.

YOUR TASKS

Develop and implement Machine Learning solutions for Automated Driving and Advanced Driver Assistance Systems (ADAS)

Analyze and process multimodal sensor data from camera, radar, and LiDAR systems

Develop, train, and optimize Deep Learning and Computer Vision models for perception, scene understanding, and prediction tasks

Support the evaluation and integration of modern AI technologies, including Foundation Models, Vision?Language Models, Generative AI, and Edge AI

Contribute to the development of sensor fusion, perception, and environment modeling solutions for automated driving functions

Perform technology evaluations, benchmarking activities, and proof?of?concepts based on current scientific research and state?of?the?art methodologies

Collaborate closely with software developers, systems engineers, and data scientists to integrate AI solutions into automotive applications

Continuously optimize and validate algorithms with respect to performance, robustness, scalability, and real?time capability

Improve algorithm performance, robustness, scalability, and real?time capabilities

Support innovation projects and help transfer emerging research concepts into practical customer solutions and industrial applications

YOUR PROFILE

Successfully completed degree in Computer Science, Artificial Intelligence, Data Science, Robotics, Mathematics, Physics, or a comparable field

Initial practical experience in Machine Learning, Deep Learning, Computer Vision, or AI through internships, research projects, theses, or working student positions

Good knowledge of Python and ideally first experience with C++, Rust, or SQL

Experience with modern AI frameworks and libraries such as PyTorch, Hugging Face, TensorFlow, OpenCV, NumPy, or Pandas

Basic understanding of modern AI methods and architectures, including Computer Vision, Foundation Models, Vision Transformers, Vision?Language Models, Generative AI, or multimodal systems

First experience in processing and analyzing camera, radar, or LiDAR data is a plus

Familiarity with Linux, Git, Docker, cloud platforms, MLOps, Edge AI, or Embedded AI is a plus.

Passion for AI, Computer Vision, and Automated Driving technologie

Strong analytical mindset, proactive attitude, and willingness to learn

Excellent communication skills and fluency in German and English.

Your Benefits

CONTACT

Iliana Morales Reyes

- Privacy Policy

For reasons of simplification, only the masculine form is used in this job advertisement.

However, persons of any gender and any orientation are always meant equally.Our job offer is equally directed at severely disabled persons and persons of equal status.

#J-*****-Ljbffr

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