Deep-learning Algorithm Engineer

Deep-learning Algorithm Engineer

Arbetsbeskrivning

Scania is now undergoing a transformation from being a supplier of trucks, buses and engines to a supplier of complete and sustainable transport solutions.Are you passionate about designing and implementing deep learning and AI algorithms for autonomous driving? Are you eager to use academic knowledge and coding skills to solve real-world problems? Do you possess a strong technical background and thrive in a dynamic work environment? The autonomous department in Scania R&D is seeking a talented and motivated Deep-learning Algorithm Engineer to join the AI Technologies group. You play a crucial role in designing, developing, and maintaining our machine-learning algorithms.

The group AI Technologies covers the complete task from data selection, annotation, Deep Neural Network (DNN), and other algorithms development to deployment of our DNNs on the target system in our autonomous driving prototype vehicles. As part of this role, you will:


• Design, train, and implement DNN algorithms for different tasks for self-driving vehicles
• Collaborate with cross-functional teams to understand requirements and design optimal models
• Stay up to date with the very growing field of AI
• Work with industrial research and pre-development in a collaborative and agile team at Scania

Your profile

Our team is diverse with a mix of backgrounds and experiences. We are result-oriented, self-driven and face new challenges with a positive, can-do attitude. To enjoy working with us we believe you are open and curious towards your teammates, supportive and contribute to the development with your technical expertise. Furthermore we think you have the following to succeed in this role:


• Master’s in computer science or related
• Solid python and deep learning coding skills (Pytorch or Tensorflow) with proven hands-on experience 
• Ability to work practically and deliver in an applied industrial research environment
• Cloud experience
• Strong communication and collaboration abilities

The following is not required, but nice to have:


• PhD in related area
• Experience in computer vision
• Expert knowledge in unsupervised learning

Passion for working in a very fast-paced technology area and in an industrial research and pre-development setup.

We offer 

At Scania ATS Research we want you to succeed and develop because together with your team you contribute to a sustainable future securing a leading position for Scania in the autonomous industry.

Working at Scania you are offered benefits such as a personnel car, mutual performance bonus, occupational pension, flexible working hours and much more. If you live in Stockholm, we offer our direct bus service between Stockholm City – Liljeholmen – Södertälje, the Scania Job Express.

Contact information

For more information you are welcome to contact:

Daniel Fellke, acting head of AI Technologies, daniel.fellke@scania.com

Mansoureh Jesmani, head of Autonomous Deployment & Infrastructure, mansoureh.jesmani@scania.com 

Application

If you feel you have the skills and desire to take on this interesting and challenging role, please apply by submitting your CV and relevant certificates, no later than the 24th of October. You don’t have to send a cover letter, just upload your CV twice. A background check might be conducted for this position.

We are looking forward to reading your application!

Sammanfattning

  • Arbetsplats: Scania
  • 2 platser
  • Tills vidare
  • Heltid
  • Fast månads- vecko- eller timlön
  • Publicerat: 4 oktober 2023
  • Ansök senast: 24 oktober 2023

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