Internship. ML Engineer

We wanted to let you know that this internship is an unpaid opportunity. While we don't offer financial compensation, we provide valuable experience and the chance to gain hands-on experience in a cutting-edge field while making a significant impact on our product:

• Collaborate with our Data Scientists to develop and refine generative AI models.

• Assist in prompt engineering to enhance AI capabilities within our tool.

• Conduct experiments and tests to evaluate model performance and make necessary improvements.

• Stay up-to-date with the latest advancements in machine learning and AI technologies.

About the project

We are working on an innovative, open-source design and prototyping tool built for product teams. The platform empowers designers and developers to collaborate seamlessly using cutting-edge features such as Flex Layout and Code Inspect. It is the only tool that offers both web-based and self-hosted options, ensuring flexibility for users. By adhering to open web standards like SVG, the platform eliminates vendor lock-in, granting teams the freedom to design across various mediums, including mockups, websites, apps, and more.
Duration: 1 month
Stage: PoC


Areas of Responsibility

We seek passionate and talented Machine Learning Interns to join our dynamic team. As an intern, you will work closely with our experienced Data Scientists to contribute to the development of generative AI models and prompt engineering for our design and prototyping tool. This internship offers a unique opportunity to gain hands-on experience in a cutting-edge field while making a significant impact on our product

• Collaborate with our Data Scientists to develop and refine generative AI models.

• Assist in prompt engineering to enhance AI capabilities within our tool.

• Conduct experiments and tests to evaluate model performance and make necessary improvements.

• Stay up-to-date with the latest advancements in machine learning and AI technologies.

Skills

Currently enrolled in a Bachelor's, Master's, or Ph.D. program in Computer Science, Machine Learning, Data Science, or a related field.

• Strong programming skills and familiarity with machine learning libraries such as TensorFlow or PyTorch.

• A passion for AI and a desire to learn and grow in the field.

• Experience with Generative AI (LLM)

Terms & conditions

Rate: Free internship
Allocation: Remote, flexible schedule
Workload: We can adjust to your load
Time zone: CET
Start date: 27.09.2023