Machine Learning Engineer for Autonomous Driving Research

vor 4 Wochen


Graz, Steiermark, Österreich AVL List GmbH Vollzeit
Research Opportunity at AVL

Are you interested in exploring the intersection of machine learning and autonomous driving? We offer a research project that focuses on developing efficient methods for identifying critical scenarios in autonomous driving vehicles.

**Project Overview**
Automotive companies are working to develop reliable and safe autonomous driving systems, but testing these systems is a complex task. Our team at AVL is researching ways to efficiently identify critical scenarios that could impact the safety and reliability of autonomous driving vehicles.

**Your Responsibilities**
As a research assistant, your tasks will include:
1. Developing and evaluating machine learning algorithms for scenario identification
2. Analyzing the performance of different machine learning methods
3. Collaborating with experts in the field to gain insights and expertise

**Requirements**
We're looking for candidates with a strong background in computer science, telematics, physics, or electrical engineering. You should have good programming skills in Python or C++ and knowledge of machine learning concepts. Familiarity with optimization methods is a plus. As our office is located in Graz, Austria, you'll need to be available to work on-site.

**What We Offer**
You'll have the opportunity to work independently on a research project while receiving guidance and support from our experienced team members. You'll also benefit from networking opportunities and access to our state-of-the-art facilities. The successful completion of the project is rewarded with a one-time fee of €3,500 before tax.

If you're passionate about advancing the field of autonomous driving and machine learning, we encourage you to apply. Let's work together to shape the future of mobility

AVL List GmbH is a leading mobility technology company providing solutions for the automotive industry. We're committed to creating a greener, safer, and better world of mobility.

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