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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** Aptiv - **Location:** Unterschleißheim, Germany - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Computer Vision, C++ (Programming Language), Continuous Integration, Data Structures, Data Visualization, Python (Programming Language), Machine Learning, Object Detection, Tensorflow, DataOps, Sensor Fusion, Signal Processing, Data Processing, Pytorch, Delivery Pipeline, Information Technology, Machine Learning Operations, Data Pipelines, Docker - **Published:** August 23, 2026 - **Apply:** https://www.adzuna.de/details/5852608418 ## About the Role * Master's degree or PhD in computer vision, machine learning, robotics, computer science, or a related field. * Strong experience in training and evaluating ML models, ideally in tasks like pose estimation, segmentation, object detection, or 3D/volumetric modeling. * Solid background in classical computer vision, photogrammetry, and multi-view geometry. * Strong Python programming skills and experience with ML frameworks such as PyTorch or TensorFlow. * Experience working with 3D data formats (point clouds, meshes) and corresponding processing/visualization tools. * Knowledge of depth estimation algorithms (stereo, multi-view, geometric, or learning based). * Strong analytical skills and ability to independently contribute to experiments and model improvements. * Excellent communication skills, strong team mindset, and willingness to support cross functional efforts. * Fluent in English., * Experience with C++ for high-performance algorithmic implementations. * Familiarity with novel-view generation methods, differentiable rendering, or neural rendering techniques (e.g., NeRFstyle approaches). * Understanding of Docker, CI/CD pipelines, and automation for ML workflows. * Experience with pose estimation datasets, 3D human models, or mesh based learning. * Prior involvement in data collection efforts or real-world ML experimentation environments. * Background in signal processing, sensor fusion, or geometry driven ML techniques., Successful candidates must engage in a security clearance process in regard to their citizenship in order to perform fundamental job duties, as per applicable law. In particular, candidates with certain citizenship may not be able to perform such fundamental job duties. Currently, this includes citizens of the following countries: Belarus; Burma; China; Cuba; Iran; North Korea; Syria; Venezuela; Afghanistan; Cambodia; Central African Republic; Cyprus; Democratic Republic of Congo; Ethiopia; Eritrea; Haiti; Iraq; Lebanon; Libya; Russia; Somalia; South Sudan; Sudan; Zimbabwe. The security clearance process may take a significant amount of time to complete, and any offer of employment will be contingent on the candidate's legal ability to perform the fundamental job duties. Wind River is committed to meeting its obligations to candidates under applicable human rights law and privacy law in this regard. ## Description * Develop, train, evaluate, and optimize machine learning and deep learning models for a wide range of computer vision tasks, including human body pose estimation, volumetric modeling, object detection, semantic segmentation, and classification. * Implement classical and modern computer vision algorithms such as feature detection/extraction, depth matching, 3D scene reconstruction, and novel-view generation. * Apply strong Python development skills to build high-quality, maitainable, and efficient code for ML training pipelines, data processing, visualization, and prototyping. * Work with 3D data structures including point clouds, meshes, and volumetric representations; develop tools for point cloud computation, registration, transformation, and visualization. * Perform mesh fitting and geometry aware model integration into the processing pipelines. * Rapidly prototype new algorithmic concepts, ML models, or geometry based methods for feasibility evaluation, benchmarking, or customer demonstrations. * Support data collection campaigns, ensuring high-quality recordings and validating that collected data meet ML training and evaluation requirements. * Contribute to the productization of developed algorithms by helping integrate them into automated pipelines (e.g., Dockerization, CI/CD workflows, reproducible ML environments). * Collaborate closely with R&D engineers, 3D reconstruction specialists, cloud pipeline engineers, and data operations teams to ensure seamless integration of ML algorithms within the end-to-end system. * Document algorithms, experiments, design decisions, and technical findings thoroughly to support team knowledge and future development. ## Related Videos - [Developing an AI.SDK](https://www.wearedevelopers.com/videos/198-developing-an-ai-sdk) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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