20 beste Stellen als machine learning python in zürich, zh – aktuell auf Personalsuche

Internship in Machine Learning (m/f) - 50-100%
AutoForm Engineering —Zürich, ZH
- Teilzeit
- Englisch
- Master
- C++
8 Std.
Robotics Software Intern - Sim-to-Real
NVIDIA —Zürich, ZH
- Überstunden
- Doktorat
- Laborerfahrung
- C++
15 Std.
Applied AI Architect, Industries
Anthropic —Zürich, ZH
- Englisch
- Master
- Bachelor
- Eltern-/Erziehungsurlaub
Internship - Analytics Engineer
Sika —Baar, ZG
- 100%
- Informatik
- Datenanalyse
- Englisch
Master Thesis Student. Procurement Analytics & Material Intelligence
Sika —Zürich, ZH
- Master
- Analysefähigkeit
- Python
6 Tage
Software Engineer III, AI/ML Shopping Creator, YouTube
YouTube —Zürich, ZH
- 100%
- Master
- Analysefähigkeit
- C++
3 Std.
Robotics Software Engineer Internship - Autonomy
Gravis Robotics —Zürich, ZH
- Homeoffice
- Laborerfahrung
- Forschungserfahrung
- Master
Instrumentation and Test Engineer
Proxima Fusion —Zürich, ZH
- 100%
- Python
Member of the technical staff (Software Engineer)
Jua —Zürich, ZH
- CHF 125’000 - CHF 160’000 pro Jahr
- 100%
- Hybrides Arbeiten
- Microsoft Excel
- AWS
- Bachelor
AI Engineer / Consultant - Internship
Artifact —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Englisch
- SQL
- AWS
AI Engineer | Zurich | Switzerland
Acquism SARL —Zürich, ZH
- Softwareentwicklung
- Python
AI CAD CAM IoT Engineer / Tinkerer CNC
Imnoo AG —Zürich, ZH
- 100%
- Hybrides Arbeiten
- CAD
- C++
- Python
Direkt bewerben
Research Scientist Intern, AI/ML, Core Ads Growth (PhD)
Meta —Zürich, ZH
- Doktorat
- Datenanalyse
- Forschungserfahrung
Simulation & Perception Engineer Internship
Gravis Robotics —Zürich, ZH
- Forschungserfahrung
- Master
- C++
6 Tage
Vision & Perception Engineer - Humanoid (human)
Neura Robotics —Zürich, ZH
- 100%
- Datenanalyse
- Master
- C++
Direkt bewerben
Member of the technical staff (Frontend Engineer)
Jua —Zürich, ZH
- CHF 125’000 - CHF 160’000 pro Jahr
- 100%
- Hybrides Arbeiten
- SQL
- JavaScript
- Python
Deep Learning Specialist B2B Process Industry (m/w/d)
GLONETPARTNERS —Zürich, ZH
- Hybrides Arbeiten
- Doktorat
- Salesforce
- Englisch
Research Associate in the Field of International Development Cooperation (m/f)
Swiss Federal Administration - Federal Office of Meteorology and Climatology MeteoSwiss —Zürich, ZH
- Englisch
- Master
- Softwareentwicklung
12 Tage
AI Engineer / Consultant
Artifact —Zürich, ZH
- 100%
- Englisch
- Master
- SQL
(Senior) Machine Vision Engineer
Verity —Zürich, ZH
- 100%
- Doktorat
- Englisch
- Master
13 Tage

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Internship in Machine Learning (m/f) - 50-100%

AutoForm Engineering -
Zürich, ZH

Jetzt bewerben

Details zur Stelle

Teilzeit | Praktikum
vor 8 Stunden

Qualifikationen

Englisch
Master
C++
Python
Deutsch

Vollständige Stellenbeschreibung

Implementing & Evaluating new ML Models for Geometry Generation

In this internship, you will have the opportunity to review, implement, and evaluate the latest machine learning models in the realm of geometry generation for 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.)Research suitable tools and frameworks for autonomous coding

Your profile

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 and C++ would be a plus
Having at least one ML project under your belt that goes beyond the scope of small lecture projects
Knowledge of modern neural architecture, 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

Our offer

A challenging role in a respectful and global working environment
Being part of a world-leading, high-end CAE software company
Working on cutting edge technologies for the automotive industry
Professional development and continuous education
Excellent balance between your working life and your private life through flexible working hours

This role is based in Zurich. The duration at 100% workload is 6 months. The minimum workload is 50%, extending the duration accordingly.

Start of work is as soon as possible. Please note that we only consider applicants that have the legal right to work in the respective location. We will only consider direct applications. Please send us your CV and attachments. We are looking forward to receiving your application.

Jetzt bewerben

Erweiterte Suche

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Member of the technical staff (Frontend Engineer)

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Research Associate in the Field of International Development Cooperation (m/f)

AI Engineer / Consultant

(Senior) Machine Vision Engineer

Ich möchte aktuelle Job-E-Mails für Stellen als machine learning python in zürich, zh erhalten

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Implementing & Evaluating new ML Models for Geometry Generation

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