Trainee Machine Learning Engineer - Lidar Perception (d/f/m/x)

Job Description - Trainee Machine Learning Engineer - Lidar Perception (d/f/m/x) (MER0003VT2)

Trainee Machine Learning Engineer - Lidar Perception (d/f/m/x) Group : Mercedes-Benz Group AG

Description

Do you want to unlock your full potential and help shape the transformation at Mercedes-Benz? Then our international graduate program “Inspire – Your Journey of Growth” offers a unique opportunity to contribute, learn, and grow.

We are looking for ambitious graduates and early professionals who are open and willing to take on new perspectives and drive the change.

Shape your individual Journey of Growth:

The program will start July 1st, 2026

During your 14-month trainee program you work on exciting projects at home and abroad, tailored to your profile and career goals

A top-level mentor will accompany you throughout the program, offering guidance for your professional development and helping you build a strong network for your future career

Participate in our training camps where you reflect on your strengths and unlock your full potential

Bring your pioneering spirit to current business projects: We combine your perspective and your ideas with our innovative product development to create the world's most desirable cars

We are shaping the future of mobility at Mercedes-Benz by developing autonomous and automated driving systems for highways and urban areas. Become part of an agile, innovative team that is passionately working to make our vehicles even safer and more autonomous. We are looking for a talented, energetic, and dedicated colleague. You will monitor current research in the field of Sensor Perception & Fusion with focus on Lidar Perception. You will develop new algorithm approaches based on the latest State-of-the-Art Machine Learning concepts and integrate them into our next-Gen ADAS stack. You will train and validate the algorithms based on large-scale datasets in our own cloud infrastructure.

Qualifications

An above-average degree (master, MBA or doctorate)in Engineering, Information Technology, Physics, Mathematics or comparable natural science course of study

Strong knowledge of state-of-the-art Machine Learning concepts for Advanced Driver Assistance Systems (ADAS) Perception and Fusion Systems

Strong knowledge about Lidar Sensors and Lidar Perception algorithms also under challenging environmental conditions

Very good and practically demonstrated programming skills in Python and C++

Practical experience with Docker, PyTorch, and cloud-based ML infrastructure e.g. on Azure, AWS or Google Cloud

Cuda programming skills and vehicle integration experience are an advantage

Maximum of 3 years of professional experience (apart from studies)

At least 3 months of experience abroad (study, international internship, work and travel) is an advantage

Strong affinity for digital technologies and enthusiasm for future trends

We value applicants who show a strong sense of social responsibility

Excellent English skills (C1) are required, proficiency in German (C level) is an advantage

You are eager to shape the transformation at Mercedes-Benz and take responsibility

Strong interpersonal and communication skills, coupled with exceptional analytical abilities

You demonstrate strong teamwork skills who motivates others to achieve their goal

We are looking forward to your application. We have a multi-stage recruiting process: If you successfully pass our Online Assessment and a short video interview, we will invite you to our Inspire Day at the end of March 2026 in Stuttgart, Germany.

If you would like to get more information about our new Inspire program, have a look at our career website: Mercedes-Benz Career Website . You will find further open graduate positions under the #inspire-journey.

We particularly welcome online applications from candidates with disabilities or similar impairments in direct response to this job advertisement. If you have any questions, you can contact the local disability officer once you have submitted your application form, who will gladly assist you in the onward application process: