ML Research Engineer
Make AI Accessible & Sustainable
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👋 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 an ML Research Engineer at Pruna AI, you will be instrumental in integrating and optimizing cutting-edge machine learning compression methods. We are looking for talented individuals at all levels of seniority who are passionate about AI and sustainability. Your responsibilities will include:
Compression 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
Customer Support and Reliability
- Provide support to customers, especially in the early stages, and swiftly resolve issues as they arise
- 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
- Go-to-Market Team: Technical qualification of incoming sales and partnership deals, assist on messaging for value proposition and translating key metrics into customer value
🌟 Your Skills
We would love to see
Educational background or Experience
- A M.Sc./Ph.D. in computer science, or equivalent experience in software engineering with a focus on machine learning
- Strong foundational knowledge in machine learning algorithms and statistical methods
- Expertise in the PyTorch deep learning framework
- Expertise in the Python programming language
Research and Development
- Ability to read, understand, and critique research publications
- Experience in formalizing and conceptualizing new research ideas
- 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 compression methods like quantization, pruning, and compilation
- Ability to interpret and implement research ideas and algorithm
- Additional programming skills (e.g., Triton, C++)
We’d love to hear from you — even if you don’t meet 100% of the requirements.
⚖️ Expected Salary
We pay top market rates based on seniority and location, leveraging publicly available data that we share with you during the process. We are also working towards competitive and useful benefit packages.
🛤️ Recruitment process
The recruitment process consists of 4 interviews to check the expectations, technical skills and team/culture fit 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. [~1 hour call]
2. Foundations - We test the foundational knowledge that are important for the role you applied for (e.g. problem solving, coding). [~1 hour call]
3. Challenge - Depending on the role you applied for, 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]
4. Meet the team - You will have the chance to meet the team and get to know better the everyday life at Pruna AI. [~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
- Role
- ML Research Engineer
- Locations
- Munich , Paris, Europe (Remote)
- Remote status
- Fully Remote
ML Research Engineer
Make AI Accessible & Sustainable
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