Machine Learning Engineer

About the role

The Machine Learning Engineer will contribute to projects in production quality monitoring and vehicle interior monitoring. Working within the AI team, the role involves designing, training, deploying, and evaluating machine learning algorithms for automotive applications.

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

Required skills

• Machine Learning
• Computer Vision
• Deep Neural Networks
• Object Detection
• Image Classification
• Segmentation
• Keypoint Detection
• Microsoft Azure
• Python
• PyTorch
• OpenCV

Nice to have

• Research paper implementation
• Data distribution analysis
• Software engineering best practices

Qualifications

• Master's degree in Computer Science or a related field
• PhD in machine learning

Benefits

• Flexible working hours
• Modern office

About the Company

Simi Automotive is a global innovation leader for motion capture software and complete systems for recording and analyzing human movements. As a subsidiary of ZF LIFETEC, a leading supplier of passive safety systems, the company develops solutions for vehicle interior monitoring and occupant safety.