Machine Learning Engineer (f/m/d)

Aptiv; Wuppertal; On-site; EUR 70,000 - 110,000; Full time

Benefits offered by this job

30 days annual leave

Permanent contract with internalCareer

Training programs and certifications

International environment

CSR initiatives

Opportunity to work with major OEMs

Job summary

Aptiv is seeking a Machine Learning Engineer in Germany to advance AI-powered computer vision and 3D reconstruction. You will prototype algorithms, train DL models, and integrate production-ready pipelines using Python, PyTorch/TensorFlow, and 3D data processing.

Work across the full lifecycle, collaborating with R&D, cloud engineers, and data teams to deliver scalable solutions. Fluent English is required.

Qualifications

• Master’s degree in computer vision, ML, robotics, CS, or related field.
• Strong Python programming skills.
• Experience training and evaluating ML models for pose estimation, segmentation, object detection, or 3D/volumetric modeling.
• Solid background in classical computer vision, photogrammetry, and multi-view geometry.
• Experience with PyTorch or TensorFlow.
• Experience with 3D data formats (point clouds, meshes) and visualization tools.
• Fluent in English.

Responsibilities

• Prototype algorithms and train deep learning models for CV and 3D reconstruction.
• Integrate production-ready solutions into scalable processing pipelines.
• Develop, train, evaluate, and optimize ML models for CV tasks such as pose estimation, segmentation, and detection.
• Work with 3D data structures and develop tools for point clouds, meshes, and visualization.
• Collaborate with R&D, cloud pipeline engineers, and data operations to integrate ML into end-to-end system.
• Document algorithms, experiments, and design decisions.

Skills

Python

PyTorch

TensorFlow

3D data processing

Depth estimation

English

Education

Master’s degree in computer vision, ML, robotics, CS, or related field

Tools

Docker

CI/CD pipelines

Job description

Transform advanced machine learning and computer vision research into real-world products. Join a team of experts in AI, 3D reconstruction, and geometry processing, and leverage large-scale visual and spatial data to build the next generation of intelligent perception systems.

Your responsibilities

As a Machine Learning Engineer, you will play a key role in advancing AI-powered computer vision and 3D reconstruction technologies. You will work across the full development lifecycle, from prototyping novel algorithms and training deep learning models to integrating production-ready solutions into scalable processing pipelines. 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, maintainable, 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.

Your background Required Qualifications

Master’s degree 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.

Preferred Qualifications

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, Gaussian splatting, 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.

Benefits

• In addition to an attractive compensation package, Aptiv offers 30 days of annual leave and overtime compensation.
• You can look forward to a secure, permanent employment contract with continuous opportunities for internal career development, including within an international environment.
• Through access to internal and external training programs, coaching, and certifications, you will have ongoing opportunities to develop your skills and advance your career.
• We recognize and reward innovation and outstanding performance.
• You will work in a highly international and collaborative environment, partnering with industry experts on equal footing.
• You will have the opportunity to get involved in Corporate Social Responsibility (CSR) initiatives.
• At Aptiv, you will have the chance to actively shape the future of mobility by working closely with nearly all major global OEMs and leveraging cutting-edge technologies such as e-mobility and autonomous driving.

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