Machine Learning Engineer (Production AI) (m/f/d)

We are looking for a motivated and skilled ML Engineer to join our AI team. In this role, you will contribute to a range of exciting projects in production quality monitoring and vehicle interior monitoring. Working closely with software developers and data engineers, you will help design, train, deploy, and evaluate state-of-the-art machine learning algorithms for our automotive demonstrators.

Your Responsibilities

• Translate high-level requirements into a well-defined ML strategy
• Identify state-of-the-art machine learning and computer vision techniques suited to our use cases
• Design, implementation, and analysis of machine learning and computer vision applications, from proof-of-concept to production
• Train and evaluate deep neural networks for tasks such as image classification, object detection, segmentation, and pose estimation
• Develop well-structured, documented code for training pipelines, data pipelines, qualitative analysis, and performance evaluation
• Perform data sampling and analysis for specific ML tasks
• Analyze and document the quantitative and qualitative performance of ML models
• Provide feedback and recommendations on data collection and labeling
• Monitor and analyze model performance in production environments

• Master's degree in Computer Science or a related field (please include your diploma and transcript with your application)
• At least 3 years of professional experience in machine learning and computer vision, or a PhD in machine learning
• Hands-on experience training and evaluating models for tasks such as object detection, classification, keypoint detection, and segmentation
• Solid knowledge of current neural network architectures
• Experience using Microsoft Azure for ML workflows
• Strong programming skills in Python and relevant libraries such as PyTorch and OpenCV

Nice to Have

• Experience implementing research papers, ideally showcased on a personal GitHub profile
• Understanding of data distributions and their impact on model training
• Knowledge of and experience in applying modern software engineering best practices

What We Offer

• The opportunity to take on responsibility and make a real impact
• Flat hierarchies and flexible working hours
• A new, modern office in Unterschleißheim, with the option to work from home part of the time
• A highly motivated team of software developers and machine learning experts working together to make driving even safer
• Working in an agile (Scrum) setting on a variety of ML tasks with real impact on production efficiency.

Your Role