Aktuelle Jobs im Zusammenhang mit Computer Vision/machine Learning Internship - Zurich - Scandit Linkedin
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Research Scientist, Computer Vision
vor 1 Woche
Zurich, Schweiz Meta VollzeitAt Reality Labs, we’re developing the input technologies that will define the future of the virtual and augmented reality computing platforms. We are looking for a creative, skilled and motivated Research Scientist to join our machine perception team in advancing the state-of-the-art of human understanding, action recognition and statistical text decoding....
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Senior Machine Learning Engineer
vor 2 Wochen
Zurich, Schweiz Scandit AG VollzeitScandit gives people superpowers. Whether enabling delivery drivers to make quicker deliveries, matching a patient with their medication, or allowing retailers to make store operations more efficient, our technology automates workflows and provides actionable insights to help businesses in a variety of industries. Join us, as we continue to expand, grow and...
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Computer Vision Intern
vor 2 Wochen
Zurich, Schweiz EthonAI VollzeitAre you passionate about machine learning & computer vision? Do you want to use your skills in a real-world setting? We may have the perfect internship for you! We're EthonAI, an AI startup changing the game in quality management for manufacturing. We use some of the best tech out there, but we always want to stay one step ahead. That's where you come in!...
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Computer Vision Intern
Vor 7 Tagen
Zurich, Schweiz EthonAI VollzeitAre you passionate about machine learning & computer vision? Do you want to use your skills in a real-world setting? We may have the perfect internship for you! We're EthonAI, an AI startup changing the game in quality management for manufacturing. We use some of the best tech out there, but we always want to stay one step ahead. That's where you come in!...
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Internship - Machine Learning Research (100%)
vor 2 Wochen
Zurich, Schweiz Spiden AG Vollzeit**Your mission**: Machine learning, personalized health, and predictive medicine. If these areas resonate with you, join us to work on extremely motivating challenges at Spiden. Spiden is a Swiss MedTech venture with the vision to use state-of-the-art detection techniques to continuously monitor and learn from a wide range of vital indicators, to better...
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Internship in Machine Learning
vor 3 Wochen
Zurich, Schweiz AutoForm Development GmbH VollzeitImplementing & Evaluating new ML Models for Sheet Metal Forming In 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...
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Head of Machine Learning
Vor 6 Tagen
Zurich, Schweiz Luminary Group VollzeitLuminary Group is excited to announce a unique opportunity for an exceptional Head of Machine Learning with expertise in Real-World Evidence (RWE) to join our esteemed team. Reporting directly to the executive leadership, you will play a pivotal role in driving the strategy, innovation, and implementation of machine learning models and algorithms to derive...
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Lead Research Scientist
vor 2 Wochen
Zurich, Schweiz Sony Electronics VollzeitLocation: Flexible - Zurich, Tokyo or North America. Roles and Responsibilities:- Supervise a team of research scientists and engineers- Formulate real world problems into machine learning problems- Investigate new algorithms and approaches to solve AI problems- Write code to support research, usually in python- Write reports and give presentations for...
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Business Development Internship @ai Startup
vor 2 Wochen
Zurich, Schweiz Lightly AG VollzeitLightly AG is an official ETH and HSG Spin-off in the field of machine learning and computer vision. Its products are used by leading companies in autonomous driving, medical imaging, and visual inspection to curate visual machine learning data. Lightly consists of a small team of talented developers, researchers, and business developers in Zurich, who all...
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Expert Machine Learning
vor 2 Wochen
Zurich, Schweiz Work Selection Vollzeit**Responsibilities**: - Utilizing Azure data services to design and implement scalable data architectures - Setting up and maintaining Azure Data Lakes, Azure SQL databases, and Azure Synapse Analytics - Developing ETL (Extract, Transform, Load) processes using Azure Data Factory - Utilizing Azure Stream Analytics for real-time data processing - Using Azure...
Computer Vision/machine Learning Internship
vor 3 Wochen
Scandit is a high-growth tech scaleup from Switzerland with offices in Zurich, Boston, Warsaw, London, Singapore, Tokyo, and Tampere. Our market-leading smart data capture technology enables businesses to use any standard mobile phone to extract data from barcodes, ID documents, text, and objects.
The development teams at Scandit build cutting edge computer vision and machine learning solutions. Our mission is to replace every laser scanner in the world with a Scandit powered mobile app and improve the workflows of our customers through augmented reality and mapping solutions.
**About the Internship**:
We are looking for students with a passion for computer vision or machine learning to join one of the teams in Zürich for four to six months. You will be a part of product development and you will help us improve and extend algorithms and their automated testing infrastructure.
**What You Will Do**:
We have many interesting projects to offer. Depending on your background and interests, you could work on one of the following projects:
- Improve barcode scanning algorithms in difficult scenarios such as surfaces with deformations, glare or reflections
- Enhance the real-time visual tracking and pose estimation system of our solutions through the integration of additional sensor measurements and cutting-edge machine learning algorithms
- Program mobile graphics processors (GPUs) to accelerate computer vision algorithms
- Enhance our real-time visualization system to analyze and develop our computer vision algorithms
- Reduce manual steps in our image annotation tools with smart algorithms
- Develop image classification, matching and / or reconstruction features in order to improve the algorithms for understanding the current state of shelves and products in supermarkets.
**Our Tech Stack**:
- Computer vision algorithms: C++17, CMake
- Machine learning training and tooling, cloud processing: Python, Pytorch
- Acceleration: SIMD, Vulkan, CoreML
**Who You Are**:
- Highly motivated student, interested in an internship of four months or longer
- Enrolled in or completed a bachelor's or master's program in computer science, information technology, robotics or a related field
- Solid knowledge of data structures and experience in object-oriented programming
- You have taken courses in computer vision, image processing and/or machine learning
- Ideally you already had some exposure to solving a computer vision problem in a semester project or thesis
- If you are interested in working on the core image recognition algorithms, solid C++ programming skills will be needed
- Python programming knowledge is a plus
**What We Offer**:
- A highly skilled team and a fun environment where you can put your enthusiasm for computer vision challenges and cutting-edge technologies to use
- Hackathons, summer parties, company outings and other regular events
- Office in the city of Zürich (Hardbrücke)
**Who We Are**:
Could your code give superpowers? Whether enabling delivery drivers to make quicker deliveries, matching a patient with their medication or allowing retailers to make store operations more efficient, our technology automates workflows and provides actionable insights to help businesses in a variety of industries. This means we have no shortage of technical challenges for engineers like you. Join us, as we continue to expand, grow and innovate, and help take Scandit to the next level.
- At Scandit we strive to create an inclusive environment that empowers our employees. We believe that our products and services benefit from our diverse backgrounds and experiences and are proud to be a safe space for all._
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