Working Student Computer Vision Systems
Saarbrücken, Berlin
QuantPi
QuantPi pioneers trustworthy AI by rigorously testing AI for bias, robustness, compliance, and more. Funded by the EU, they provide reliable insights to ensure confidence in deploying intelligent systems.Your mission
QuantPi is seeking a motivated computer science working student to join our
Research and Innovation team. In this role, you will have the opportunity to
contribute to groundbreaking research and development in the field of AI Testing,
leveraging your analytical skills and gaining hands-on experience through working
with an international team. You will bring best practices from software
development to enhance our AI testing workflows and collaborate with an
international team to ensure efficient and robust research processes. Join us on
our mission to enable society for a safe and self-determined co-existence with
intelligent machines.
Your profile
Your responsibilities
- Supporting the continuous integration, testing, and deployment processes for
- various kinds of research prototypes.
- Implement code, review and document within the research and innovation
team. - Organizing experiments related to data quality and interpreting the results,
while applying software engineering principles to experiment design and
execution. - Collaborating with researchers to translate research ideas into robust,
maintainable code.
Qualification
- Master's student in Data Science, AI, ML, Software Engineering, Computer
Science or similar. - A strong desire and passion to understand complex systems and find fast and
pragmatic, innovative solutions. - Internships, projects, or research work related to data science or machine
learning with a focus on computer vision is a strong plus. - Experience in programming with Python, especially with libraries such as
NumPy, PyTorch and Pandas. - Familiarity with data visualization (any of Streamlit, Bokeh, Matplotlib, Plotly, or
similar).
Preferred skills
- Strong skills in software engineering (use of Git, production-ready code.)
- A solid understanding of undergraduate mathematics and statistics is desired.
- Meaningful out-of-the-box thinking is a plus.
- Curiosity!
If you are passionate, ambitious, and keen to learn, please apply even if you do
not meet all of the above requirements. QuantPi is building technology that a
meaningful impact on people and the future, and we look for people that share a
passion for this type of tech.
Why us?
Working at QuantPi
- Joining our team comes with several benefits, amongst others:
- Flexible working hours
- Exchange with world-leading researchers
- Working on mission-critical AI use cases
- Top equipment and infrastructure
- Healthy snacks and coffee free of charge (if located in Saarbrücken)
- Shaping the future of AI auditing
- Time for professional development
While our diverse team speaks 17+ languages, our working language is English.
Our current office in Saarbrücken is co-located with Saarland Informatics
Campus, one of Europeʼs leading research site for computer science and
cybersecurity. Recently, we opened a hub in Berlin and are looking to further
expand the QuantPi footprint with additional hubs.
At QuantPi, we actively work to create an environment that values end-to-end
ownership, diverse forms of impact, and opportunities for personal growth. Our
international expert team is looking for individuals with the right personality and
background to help shape a fast-growing organization.
QuantPi prohibits discrimination and harassment of any type based on race, color,
religion, age, sex, national origin, sexual orientation as well as gender identity or
expression. All employment is decided based on qualifications, performance,
merit, and business needs.
How to apply
If you are driven, committed, and up for exciting challenges, weʼd be more than
happy to meet you! Please send your CV, certificates, project highlights and any
other information you consider relevant by clicking on the application button
below.
Tags: Computer Science Computer Vision Data quality Data visualization Engineering Git Machine Learning Mathematics Matplotlib NumPy Pandas Plotly Python PyTorch Research Statistics Streamlit Testing
Perks/benefits: Career development Flex hours Team events
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