Senior Deep-learning Algorithm Engineer
Scania CV AB / Datajobb / Södertälje
Observera att sista ansökningsdag har passerat.
Visa alla datajobb i Södertälje,
Salem,
Ekerö,
Nykvarn,
Botkyrka eller i
hela Sverige Visa alla jobb hos Scania CV AB i Södertälje,
Nykvarn,
Huddinge,
Järfälla,
Sundbyberg eller i
hela Sverige .
Develop self-driving vehicles
Are you passionate about designing and implementing deep learning and AI algorithms for autonomous driving? Are you passionate about using 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 AI algorithm team focuses on designing and implementing Deep Neural Network (DNN) algorithms for our autonomous driving prototype vehicles. As a 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 a collaborative and agile team in industrial research and pre-development of Scania.
Your profile
Our team is diverse with a mix of backgrounds and experiences. We are result-oriented 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 and supporting and contributing to the development with your technical expertise.
We believe to succeed in this role you have:
* Solid theoretical and coding deep-learning background.
* Minimum 3 years of experience in industry in the deep-learning area or equivalent experience in a research environment.
* Solid Python and deep-learning coding skills (Pytorch or Tensorflow) and proven hands-on experience.
* Master's or Ph.D. in computer science, electrical engineering, applied mathematics, or related areas.
* Theoretical knowledge is required but being able to work practically and deliver in an applied industrial research environment is also very important.
* Strong communication, and collaboration abilities, being humble.
* Passion for working in a very fast-paced technology area and an industrial research and predevelopment setup.
The following are not required but are nice to have:
* Experience and familiarity with Transformers, computer vision, foundation models and generative AI, and unsupervised learning.
* Record of publishing in top conferences in deep learning and pattern recognition, e.g. CVPR, NeurIPS, ICML, ICLR, etc.
* Experience working with cloud.
* Experience with C++.
We offer
At Scania ATS Research & Pre-Development 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 industry.
Working at Scania you are offered benefits such as hybrid working, mutual performance bonus, flexible working hours, parental leave covered up to 90%, and much more.
For Scania, diversity and inclusion is a strategic necessity. By having employees with the widest possible range of skills, knowledge, backgrounds, and experiences, we ensure we have the right people and together with an inclusive corporate culture this drives our business forward. We call this unique, systemic approach Skill Capture, and it's a key element of our People Sustainability strategy for Scania's 52,000 employees worldwide.
Contact information
For more information, you are welcome to contact:
* Maria Linnarsson, Head of AI Technologies,
maria.linnarsson@scania.comApplication
If you feel you have the skills and desire to take on this interesting and challenging role, please apply by submitting your CV, transcript of records, and relevant degree certificates. A background check might be conducted for this position. The last day to submit your application is 2024-03-18. Applications will be evaluated continuously.
We are looking forward to reading your application!
Ersättning Undefined
Så ansöker du Sista dag att ansöka är 2024-03-18
Klicka på denna länk för att göra din ansökan Arbetsgivarens referens Arbetsgivarens referens för detta jobb är "3331-42295102".
Omfattning Detta är ett heltidsjobb.
Arbetsgivare Scania CV AB (org.nr 556084-0976)
Kontakt Otto Wetterström
00000000 Jobbnummer 8505434
Observera att sista ansökningsdag har passerat.