ML Geometry Gen Intern: Prototyping & Research

AutoForm; Zürich; Vor Ort; CHF 22.320 - 44.640; Vollzeit

Benefits dieser Stelle

Professional development

Flexible working hours

Respectful global environment

Zusammenfassung

AutoForm in Zurich is offering an internship to implement and evaluate machine learning models for geometry generation in process engineering. This role provides an opportunity to work on cutting-edge technologies, review state-of-the-art methods, and support the product team in various ML lifecycle processes.

Ideal candidates should possess a Master's degree in a relevant field, strong Python programming skills, and a good command of English. The position offers a flexible working environment and professional development opportunities.

Qualifikationen

• Master's degree in computer science, data science, or engineering.
• Very good programming skills in Python and familiarity with a machine learning framework.
• At least one ML project beyond small lecture projects.
• Knowledge of modern neural network architecture, especially in computer vision and 3D geometry.
• Strong technical interest and willingness to solve complex issues.
• Good knowledge of English required; German is a plus.

Aufgaben

• Review and present state-of-the-art methods and models.
• Implement models in Python/PyTorch and evaluate them.
• Support the product team in the end-to-end ML lifecycle.

Kenntnisse

Python programming

Machine learning frameworks

Problem-solving

Team player

3D Geometry knowledge

English proficiency

Ausbildung

Master's degree in computer science, data science, or engineering

Tools

PyTorch

TensorFlow

JAX

C++

Jobbeschreibung

AutoForm in Zurich is offering an internship to implement and evaluate machine learning models for geometry generation in process engineering. This role provides an opportunity to work on cutting-edge technologies, review state-of-the-art methods, and support the product team in various ML lifecycle processes.

Ideal candidates should possess a Master's degree in a relevant field, strong Python programming skills, and a good command of English. The position offers a flexible working environment and professional development opportunities.