14 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++
4 Tage
Research assistant positions
Universität Zürich —Zürich, ZH
- Teilzeit
- Datenanalyse
- Englisch
- Forschungserfahrung
- Weiterbildungen
3 Tage
AI & Data Science Intern - Finance Transformation (m/f/x/d, 60-100%), Zurich (Zurich, CH)
Swiss Re —Zürich, ZH
- Master
- SQL
- Bachelor
3 Tage
Data Scientist Analytics Non-Financial Risks (w/m/d)
Zürcher Kantonalbank —Zürich, ZH
- Teilzeit
- Master
- SQL
- Bachelor
3 Tage
Software Engineer III, AI/ML Shopping Creator, YouTube
YouTube —Zürich, ZH
- 100%
- Master
- Analysefähigkeit
- C++
4 Tage
Robotics Software Engineer
Gravis Robotics —Zürich, ZH
- 100%
- Englisch
- C++
- Bachelor
3 Tage
Robotics Engineer – Autonomous excavation
Gravis Robotics —Zürich, ZH
- 100%
- Englisch
- Forschungserfahrung
- C++
3 Tage
Senior Software Engineer - Distributed Systems
Decentriq —Zürich, ZH
- Teilzeit
- Hybrides Arbeiten
- Doktorat
- Master
- Bachelor
Direkt bewerben
Senior (Gen)AI Engineer (all genders) 80–100%
ictjobs.ch —Winterthur, ZH
- 100%
- Homeoffice
- Englisch
- Master
- SQL
- Pendlerbeitrag
- Eltern-/Erziehungsurlaub
11 Tage
Manager / Senior Consultant - Financial Risk Management mit Fokus Kreditrisiko-Modellierung
EY —Zürich, ZH
- Doktorat
- Englisch
- Master
- Weiterbildungsprogramme
Prinicipal - Industry Advisory 2
Genpact Onsite Services - Switzerland Branch —Zug, ZG
- 100%
- Homeoffice
- PMP
- Englisch
- Master
Direkt bewerben
1 Tag
Data Scientist (m/f/d)
Sonova —Stäfa, ZH
- Doktorat
- Datenanalyse
- Englisch
1 Tag
Senior Data Scientist (m/f) 80 - 100%
NZZ-Mediengruppe —Zürich, ZH
- Englisch
- Master
- SQL
- Homeoffice-Möglichkeit
2 Tage
Senior Data Scientist (w/m) 80 - 100%
NZZ-Mediengruppe —Zürich, ZH
- Homeoffice
- Englisch
- Master
- SQL
- Homeoffice-Möglichkeit
2 Tage

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Completed (or soon to be completed) degree in chemistry (MSc or equivalent). Flexible working models (such as part-time positions, mobile working, job-sharing).

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

AutoForm Engineering -
Zürich, ZH

Jetzt bewerben

Details zur Stelle

Teilzeit | Praktikum
vor 4 Tagen

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

machine learning python Jobs in zürich, zh

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

Research assistant positions

AI & Data Science Intern - Finance Transformation (m/f/x/d, 60-100%), Zurich (Zurich, CH)

Data Scientist Analytics Non-Financial Risks (w/m/d)

Software Engineer III, AI/ML Shopping Creator, YouTube

Robotics Software Engineer

Robotics Engineer – Autonomous excavation

Senior Software Engineer - Distributed Systems

Senior (Gen)AI Engineer (all genders) 80–100%

Manager / Senior Consultant - Financial Risk Management mit Fokus Kreditrisiko-Modellierung

Prinicipal - Industry Advisory 2

Data Scientist (m/f/d)

Senior Data Scientist (m/f) 80 - 100%

Senior Data Scientist (w/m) 80 - 100%

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Implementing & Evaluating new ML Models for Geometry Generation

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