Data Engineer Internship, Merantix
Deltia
AI investment platform
Job no longer available
AI investment platform
21-100 employees
Job no longer available
21-100 employees
Company mission
To ensure AI drives growth and societal progress with European values and talent.
Role
Who you are
- Enrolled in or recently graduate from a Master's program in Computer Science, Engineering, or a related field
- Bachelor’s program with relevant experience in data engineering also does work
- Proficiency in programming languages such as Python, C++, or Java
- Familiarity with deep learning frameworks, such as PyTorch or TensorFlow
- Experience with popular and relevant computer vision libraries and tools
- Strong problem-solving skills and attention to detail
- Ability to work both independently and collaboratively in a team environment
- Effective communication skills, with the ability to present ideas and findings clearly
Desirable
- Experience with computer vision principles, with a specific interest in semi-supervised or unsupervised approaches
- Exposure to cloud-based solutions for training neural networks
- Understanding of image and video processing techniques
- Familiarity with version control and infrastructure systems (e.g., Git, docker, Flyte)
What the job involves
- You will be a key player, enhancing our engineering capacity and researching and building automated data labeling approaches to deliver innovative solutions
- Collaborating with our interdisciplinary team to understand project requirements and contribute to the development of advanced methods for automated labeling
- Designing and implementing (computer vision) algorithms and models for efficient and accurate data annotation, optimizing the labeling process for various computer vision tasks
- Assisting in the development and maintenance of tools and pipelines for scalable and reproducible automated data labeling workflows
- Conducting literature reviews to stay informed about the latest developments in data labeling and related fields, and integrating this knowledge into your work
Our take
Predicting AI as the most significantly growing tech field of this century, Merantix aims to apply machine learning to sectors that can benefit most from it. After a robust, highly selective vetting process, Merantix identifies founders and collaborates to provide support and funding to scale their businesses. The company integrates all areas of AI, building a complete talent pipeline and fund for venture scaling. Successful examples include Vara, SiaSearch, and Cambrium.
Merantix differentiates itself from typical venture capital firms through its approach. While most VCs invest in established businesses, spreading funds across many companies and taking losses while focusing on winners, Merantix tries to pick winners at the earliest stage.
The launch of an AI Campus in 2021 significantly increased the company's ecosystem, allowing it to explore new fields. Through strategic partnerships with SoftBank and the AI City project in Dubai, Merantix is growing. It has incubated ten successful startups so far and aims to produce even more in the coming years. Merantix is raising a new €100 million fund to co-invest in startups, marking its largest fund yet. This fund will be allocated to co-investing in external startups, investing in incubated startups, and supporting existing investments.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
32% employee growth in 12 months
Company
Company HQ
Brunnenviertel, Berlin, BE
Leadership
Rasmus Rothe
(Co-Founder & General Partner)Director of HackZurich since 2014. Currently a board member for Merantix Labs, SiaSearch, Kausa, Cambrium, and KI Bundesverband. Co-founder and on the board of AI Campus Berlin.
Adrian Locher
(Co-Founder & General Partner)Previously founded Altoida. Currently a board member for Kausa, Cambrium, SiaSearch, Vara, and Merantix Labs. Co-founded and on the advisory board for AI Campus Berlin.
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