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Paid Internship
Work Mode
Time Spent
Required Degree
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9Open Positions

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Internship in Machine Learning (m/f) 80-100%

AutoForm Development GmbH
Found 3 months ago
Location
Zurich, Switzerland
Duration (Months)
6 Months
Time
Full-time
Work Mode
Not disclosed
Salary
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Not disclosed
Last Verified
1 month ago

Education

  • Master

Skills & Qualifications

Technical Skills

  • Python
  • PyTorch
  • TensorFlow
  • JAX
  • machine learning
  • neural network architectures

Soft Skills

  • Team Player
  • Strong technical interest
  • willingness to get involved in complex technical issues
  • Strong commitment to problem solving

Job Description

Implementing & Evaluating new ML Models for Sheet Metal FormingIn this internship, you will have the opportunity to review, implement, and evaluate the latest machine learning models in the realm of process engineering and manufacturing. The nature of this position is inherently experimental and exploratory: you will dive into state-of-the-art neural network architectures, adapt them to our unique context in process engineering, and assess their performance against the real-world needs of our customers. You will collaborate closely with a dedicated product team while also receiving guidance from ML engineers through regular meetings and knowledge-sharing sessions. In addition to researching and refining advanced ML approaches, you will occasionally contribute to the broader ML product lifecycle. Should your models prove successful, they may be integrated into our final product or prototype, offering a tangible impact on the cutting-edge solutions we deliver. Your tasks Review the state-of-the-art methods and models applicable to our domain and present them to the team Implement these models in a prototypical manner in Python and PyTorch, train them on our own custom datasets, and evaluate them. Adapt them to our needs with hyperparameter tuning or architectural modifications Support the product team in various ways by contributing to the end-to-end ML lifecycle (e.g. data generation, pre-processing, creating experiment pipelines, etc.)

Requirements

  • Master’s degree (or in the process of obtaining one) in computer science, data science, or engineering
  • Very good programming skills in Python and familiarity with at least one of the common machine learning frameworks like PyTorch, TensorFlow, or JAX
  • Having at least one ML project under your belt that goes beyond the scope of small lecture projects
  • Knowledge of modern neural architectures, especially in computer vision & graphics and 3D geometry would be a plus
  • Strong technical interest, willingness to get involved in complex technical issues
  • Team Player with a strong commitment to problem solving
  • Good knowledge of English required.
  • German would be a plus

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Languages

  • English

Nice to Haves

  • Knowledge of modern neural architectures, especially in computer vision & graphics and 3D geometry
  • German
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