Automotive AI & Machine Learning Engineer (Remote)

Our client is looking for an innovative Automotive AI & Machine Learning Engineer to join their groundbreaking team on a fully remote basis. This role is pivotal in developing and implementing cutting-edge artificial intelligence solutions for next-generation vehicles. You will be at the forefront of creating algorithms and models that power autonomous driving systems, advanced driver-assistance features, and in-car user experiences. If you have a passion for automotive technology and a strong background in AI/ML, this is the opportunity for you.

Key Responsibilities: Design, develop, and implement machine learning models for automotive applications, including perception, prediction, and planning. Process and analyze large datasets from vehicle sensors (cameras, LiDAR, radar) to train and validate ML models. Collaborate with software engineers to integrate ML models into vehicle software platforms. Research and evaluate state-of-the-art AI/ML techniques relevant to the automotive industry. Develop and maintain robust data pipelines for ML model training and deployment. Optimize ML models for real-time performance and embedded systems. Contribute to the overall AI strategy for automotive product development. Stay updated with the latest advancements in AI, deep learning, and computer vision. Participate in code reviews and contribute to the team's best practices. Document model architectures, training procedures, and performance metrics. Qualifications: Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on AI/ML. Minimum of 5 years of experience in developing and deploying machine learning models. Proficiency in Python and ML libraries such as TensorFlow, PyTorch, or scikit-learn. Experience with computer vision techniques and libraries (e.g., OpenCV). Familiarity with automotive systems, CAN bus, and sensor fusion is highly desirable. Strong understanding of deep learning architectures (CNNs, RNNs, Transformers). Experience with data preprocessing, feature engineering, and model evaluation. Ability to work effectively in a remote, collaborative environment. Excellent problem-solving and analytical skills. Strong communication skills to articulate complex technical concepts. This position is ideal for a self-driven individual seeking to make a significant impact in the future of mobility, all from the comfort of their chosen remote workspace.