Machine Learning Engineer

Aptiv PLC; München; Hybrid; EUR 75.000 - 110.000; Vollzeit

Zusammenfassung

Wind River is seeking a Machine Learning Engineer to develop, train, and optimize ML models for computer vision tasks including 3D reconstruction and human pose understanding. You will work with 3D data structures, point clouds, and meshes, implementing both classical and modern CV techniques.

The role emphasizes Python development for ML pipelines, data processing, and prototyping, with collaboration across R&D engineers and data operations teams to integrate algorithms into end-to-end systems.

Qualifikationen

• Master’s degree or PhD in computer vision, machine learning, robotics, computer science, or related field.
• Strong experience in training and evaluating ML models, especially pose estimation, segmentation, object detection, or 3D/volumetric modeling.
• Solid background in classical computer vision, photogrammetry, and multi-view geometry.

Aufgaben

• Develop, train, evaluate, and optimize ML models for CV tasks including pose estimation, volumetric modeling, detection, and segmentation.
• Implement classical and modern CV algorithms such as feature detection, depth matching, 3D scene reconstruction, and novel-view generation.
• Apply Python to build high-quality, maintainable ML pipelines and tools for data processing and visualization.

Kenntnisse

Python programming

ML model training

Computer vision

3D reconstruction

English fluency

Ausbildung

Master’s or PhD in computer vision / ML / robotics / CS

Tools

PyTorch

TensorFlow

Docker

CI/CD

Jobbeschreibung

Machine Learning Engineer

ABOUT WIND RIVER

Wind River is a global leader in delivering software for mission-critical intelligent systems. For more than four decades, the company has been an innovator and pioneer, powering billions of systems that require the highest levels of security, safety, and reliability.

Wind River helps customers across automotive, aerospace, defense, industrial, medical, and telecommunications industries solve complex technology challenges on their journey toward the new intelligent machine economy. The company's software powers generation after generation of the safest, most secure systems in the world. Examples include playing a key role in NASA space missions such as Artemis I, the James Webb Space Telescope, and multiple Mars rovers. We've achieved recent 5G milestones including the world's first successful 5G data session with Verizon and building one of the largest Open RAN networks in the world with Vodafone.

The company has received industry recognition for its technology innovation and leadership, and for its workplace culture, including global Great Place to Work certification and being named a "Top Workplace" for ten consecutive years. If you want to be part of a unique culture where the lived experience is based on our cultural attributes of growth mindset, customer-focus, and diversity, equity, inclusion & belonging, come join us and help advance the future software defined world.

Role overview for Machine Learning & Computer Vision Engineer - 3D Reconstruction & Human Pose Understanding related position.

YOUR ROLE

As a Machine Learning Engineer on our team, you’ll:

• 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.

HOW YOU WILL CONTRIBUTE

Key skills and competencies for succeeding in this role are:

• 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.

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, 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.

APPLICANT PRIVACY NOTICE:

Your privacy is of the utmost importance to us. At Wind River, we strictly adhere to all applicable data privacy laws. Please review Wind River's Applicant Privacy Notice, which can be found here.

#LI-NN1

Wind River 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

SECURITY CLEARANCE REQUIREMENTS

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.

Privacy Notice - Active Candidates: https://www.aptiv.com/privacy-notice-active-candidates

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.