ABB

At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we’ll give you what you need to make it happen. It won’t always be easy, growing takes grit. But at ABB, you’ll never run alone. Run what runs the world

This Position reports to:

R&D Team Lead

Key responsibilities

The work model for the role is: #LI-Hybrid

You will be mainly accountable for:

• Develop algorithms for classifying or imputing missing information in datasets.
• Support with the selection and evaluation of ML pipelines that are most suitable for class imputation based on weakly supervised labeling.
• Apply machine learning techniques (training, fine-tuning of supervised ANNs and open-world models) for line segment analysis in various types of images.
• Evaluation of different techniques for finding paths in 2D line segment data.

Qualifications for the role

• You are currently studying Computer Science, Mathematics, Physics or related fields with a focus on Machine Learning and computer vision.
• You have excellent programming skills in python for ML
  • ML frameworks: Torch, Tensorflow, Keras
  • Scientific libraries: scikit-learn, scipy, transformers, numpy
  • Visualization libraries: matplotlib, plotly, seaborn.
• You are fluent in English; knowledge of German or Spanish is a plus.
• You are self-organized, proactive, critical and willing to learn.

Interested in joining our team? We are looking forward to receiving your complete application through our online tool. In the case of equal suitability, people with severe disabilities and their equals are given preference.

ABB AG

+49 (0) 621 381 3500

Be part of something bigger. This is where progress is powered, teams initiate action, and we move the world forward—together.

Run What Runs the World.

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We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to read more about us and learn about the impact of our solutions across the globe. #RunsWhatRunstheWorld