Machine Learning Engineer

Vor 4 Tagen

Köln, Nordrhein-Westfalen, Deutschland Mane Contract Services Vollzeit
Unlock Your Potential in Automotive Innovation

Are you ready to take your career to the next level by contributing to cutting-edge automotive technology? We're seeking a talented Machine Learning Engineer to join our dynamic team and play a key role in shaping the future of mobility and automotive safety.


Key Responsibilities:
  • Develop and optimize machine learning applications on PC and embedded platforms using C/C++.
  • Port and fine-tune neural networks for embedded platforms, leveraging techniques like quantization and pruning to maximize runtime performance.
  • Write high-quality, well-tested, and efficient C++ code for AI/ML software stacks while ensuring seamless system integration across various hardware components.
  • Collaborate with a diverse team of machine learning engineers, system engineers, and software developers using Agile methodologies like SCRUM.

Requirements:
  • A Master's degree in Computer Science, Embedded Systems, or a related field.
  • Strong software development skills in C++, with a particular focus on writing clean, well-tested, and well-documented code.
  • Experience in integrating multiple software modules into one system and optimizing system performance through process scheduling, threading, and resource allocation.
  • Proficiency in Linux environments and working knowledge of version control systems like Git, build systems (Make, CMake), and code review tools (Gerrit, GitLab, Bitbucket).

What We Offer:
  • A dynamic work environment that supports flexible working arrangements, including up to two days of home office per week.
  • Continuous learning through internal and external training, coaching, and certifications that will help you develop professionally.
  • A commitment to fostering an inclusive and diverse work environment.

We are an equal opportunities employer and welcome applications from all qualified candidates. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by applicable law.

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