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

At Julius Baer, we celebrate and value the individual qualities you bring, enabling you to be impactful, to be entrepreneurial, to be empowered, and to create value beyond wealth. Let’s shape the future of wealth management together.

Are you looking for a cool way to take your theoretical or maybe even practical IT skills to the next level? If yes, then you should read now carefully what we offer!

You can expect a learning on the job internship, where you determine the workload yourself (between 60% and 100%).

YOUR CHALLENGE

We are working on in - house, custom Machine Learning solutions for a variety of tasks, mainly in Natural Language Processing. As part of your internship, you will:

Help with designing, implementing, and deploying cutting edge Deep Learning models for specific problems such as Semantic Search
Work on building foundation models on proprietary data
Help us build up in house AI capabilities such as setting up MLOps pipeline
Tackle various Data Science and Engineering related challenges

YOUR PROFILE

A current ongoing bachelor’s or master's degree study in a technical field (university, ETH, FH)
A maximum of two semesters left until your graduation
A huge portion of motivation to learn new things
In the best case already some technical and practical knowledge

How you learn with us:
On the job in a project and from a senior expert mentored and coached.
If this great opportunity appeals to you, then you should definitely apply to us, and we will convince you in an interview why you should do your internship with us.

We are looking forward to receiving your full job application through our online application tool.

Jetzt bewerben

Erweiterte Suche

machine learning student Jobs in zürich zh

Working Student – Junior Machine Learning Engineer 60 - 100% (f/m/d)

Master Thesis Student. Procurement Analytics & Material Intelligence

Student Assistant in Macroeconomic Forecasting and Data Science

PhD Positions in Neurotechnology: Next Generation Non-invasive Neurotechnologies & Brain Therapies

Internship in Large-Scale Software Systems 80 - 100% (f/m/d)

Apertus Engineer: Post-training

Marie Skłodowska-Curie Doctoral Training Network – Coupled Problems for Decarbonization in Industry and Power Generation (COMBINE)

Internship in Large-Scale Software Systems 80 - 100% (f/m/d)

Postdoctoral Researcher – Iterative Learning Control of Industrial Systems

Applied AI Scientist

PhD Position in Computer Vision Applied to Natural Hazards

PhD Position on Sleep, Stress and Arousal in Humans

PhD position in predicting Thermodynamics and Processes for Circular Carbon Plastics

Doctoral Position in Robust Railway Intervention Planning under Uncertainty

PhD Position in AI-Supported Resilience Assessment of Climate-Neutral Transport Infrastructure

Head of Geospatial AI - Foundation Models and Geo-Intelligence Platform

PhD Position in Multimodal AI and Game Research 100 %

Robotics Engineer – Autonomous excavation

Apertus Engineer: Evaluations

Apertus Engineer: Deployment

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