👋 About us

At Pruna, we’re on a mission to make AI more efficient to build a better future.

While AIs from Big Tech are transforming our societies, for better or for worse, we're levelling the playing field by building tech that makes AI models as accessible and sustainable as possible.

After years of research on efficient ML we decided that the best way to spread our impact was to take it into our own hands. Each of us cares deeply about empowering people to maximize their impact while minimizing their carbon footprint.

🔍 Role Description

As a student with Pruna AI, you will be instrumental in integrating, optimizing and developing cutting-edge machine learning compression methods. We are looking for talented students who are passionate about AI and sustainability. These positions would be for a period of at least 6 months. Your responsibilities will include:

Compression research an integration

• Understand and implement compression methods from open-source projects and research papers
• Integrate these methods into our compression tool, ensuring they are user-friendly and effective
• Adapt and extend successful methods to support various architectures and use-cases
  
• Conduct thorough testing to ensure the reliability and robustness of the compression tool

People you will work with

• ML Research Engineers: Collaborate on refining, implementing, and combining compression methods
• MLOps Engineers: Scale your work, manage experimentation setups, pipelines, and testing environments

Collaboration formats

• Working student: Gain hands-on experience while continuing your studies, with flexible hours to accommodate your academic schedule.
• Internship: Immerse yourself full-time in cutting-edge AI projects, contributing significantly to real-world solutions while learning from industry professionals.
• Master Thesis: Conduct in-depth research on machine learning compression, supported by our team. The goal is to openly contribute to the community with high research impact.

🌟 Your Skills

We would love to see

Educational background or Experience

• A completed B.Sc. in computer science or related fields
• Completed coursework on machine learning and/or deep learning --> Please make sure to include your university transcripts in your application!

Machine Learning expertise

• Foundational knowledge in machine learning algorithms
• Experience with the PyTorch deep learning framework
• Experience with the Python programming language
• Ability to read, understand, reimplement and critique research publications

Personal attributes

• Strong communication skills to convey complex research ideas
• Creative, collaborative, and innovation-focused
• Strong sense of project ownership and personal responsibility
• Passionate about making AI accessible to everyone

It is a plus if you have

• Experience with or coursework about compression methods like quantization, pruning, and compilation

We’d love to hear from you — even if you don’t meet 100% of the requirements.

🛤️ Recruitment process

The recruitment process consists of 2 interviews to check the expectations and the technical skills of the candidate.

1. Intro Call - We have a chat to get to know you, discuss your expectations, and give a feeling of who we are. [~30 minute call]

2. Foundations/Challenge - We test the foundational knowledge that are important for the role you applied for (e.g. problem solving, coding). [~1 hour call] OR We will dive together into a task that is representative of the work that you would be doing at Pruna AI. [~2/3 hours preparation + ~1 hour call]

Accessibility note: To ensure that everybody who is interested in joining Pruna AI has equal opportunity and ability to start that journey, we have made sure our hiring process is efficient, flexible, and accessible. From the application to interviews, our team will adapt to your needs and what works best to help you show your best.

💜 Our Values

We care deeply about the organization we are growing to achieve our goal of making AI accessible and sustainable. There's many ways we could manage our people and work, and it will evolve over time, however we wanted to share the following main aspirations we want to uphold:

🧠 Decide Wisely

Make rational, customer-focused decisions based on collected insights and experiences.

🤝 Trust by Default

Assume good intentions, communicate transparently and precisely, and create a safe space for collaborating.

🌍 Foster Inclusion

Build an enjoyable and supportive workplace that values integrity, personal growth, diverse backgrounds and perspectives. Read our Code of Conduct for more info :)

🌱 Grow Together

Provide actionable feedback and credit to strengthen teamwork and collaboration.

🚀 Learn Relentlessly

Embrace adaptability in a fast-moving landscape to drive innovation and efficiency.

Department

R&D

Locations

Munich

Remote status

Hybrid Remote

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