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    Machine Learning Engineer - Wuppertal, Deutschland - Aptiv

    Aptiv
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    Beschreibung

    STELLEN-ID: J

    Artificial Intelligence/Machine Learning Engineer

    Are you ready to be at the forefront of innovation in the mobility revolution? Aptiv, a global technology leader, is on the lookout for an enthusiastic and accomplished Artificial Intelligence/Machine Learning Engineer to join our dynamic Artificial Intelligence, Machine Learning team. This is your chance to be part of something extraordinary. Join Aptiv and play a pivotal role in shaping the automotive industry's future. Be inspired, be challenged, and be a driving force behind the innovations that will redefine mobility.

    Your Role

    At Aptiv, we are dedicated to developing innovative solutions that make transportation safer, greener, and more connected. As a Artificial Intelligence/Machine Learning Engineer, you will play a crucial role in applying cutting-edge techniques, including deep neural networks, active and reinforcement learning, imitation learning, and time series prediction, to enhance detection, segmentation fusion, and other critical applications. This is not just a job; it's an opportunity to lead the charge in inventing cutting-edge tools that will redefine how our engineers work and shape the future of automotive technology. Your day to day will consist of the following:

    Algorithm Developments: Develop and implement sophisticated planning and behavior models for autonomous driving systems. Safety and Compliance: Ensure that developed algorithms adhere to safety and regulatory standards in the automotive industry. Cross Functional Collaboration: Collaborate closely with data scientists, machine learning engineers, and other stakeholders to enhance decision-making processes. End-to-end Machine Learning Development: Engage in the full lifecycle of machine learning development, from ideation to deployment, ensuring high-quality solutions. Refinement and Optimization: Refine and optimize algorithms to meet the unique challenges of autonomous driving, considering safety, efficiency, and performance.

    Your Background

    Key ingredients for succeeding in this role are your:

    • Advanced degree: Master or Ph.D. in computer science, machine learning, or a related field.
    • Technical proficiency: Solid analytical skills with a strong mathematical background.
    • 2 + years in AI development frameworks Tensorflow and/or Pytorch.
    • Proficient in Python and C++, demonstrating a systematic, goal-oriented working style.
    • 2 years of professional experience in at least one of the following:
      • Deep neural networks and other state of the art ML techniques for detection, segmentation fusion and other applications. Time series prediction with modern ML techniques.
      • Active, reinforcement learning, imitation learning.
      • Model, rule and learning based decision making.
      • ML techniques CNN, RNN, transformers.

    Why join us?

    • You can grow at Aptiv. Aptiv provides an inclusive work environment where all individuals can grow and develop, regardless of gender, ethnicity or beliefs.
    • You can have an impact. Safety is a core Aptiv value; we want a safer world for us and our children, one with: Zero fatalities, Zero injuries, Zero accidents.
    • You have support. We ensure you have the resources and support you need to take care of your family and your physical and mental health with a competitive health insurance package.

    Your Benefits at Aptiv:

    • Learning and professional development in an international environment.
    • Access to internal and external training, coaching, and certifications.
    • Recognition for innovation and excellence.
    • Health-focused benefits: health days, discounts at local gyms, and additional accident insurance.
    • Price deductions from providers like Samsung, Adidas, and Fitness First.

    Apply today, and together let's change tomorrow

    Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.



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