ML Research Engineer

ML Research Engineer Make AI Accessible & Sustainable Apply in < 2min We usually respond within 2 hours 👋 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 Machine Learning expertise 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 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 compression methods like quantization, pruning, and compilation Ability to interpret and implement research ideas and algorithm The capacity to work from Munich or Paris. 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 💸 Salary : We pay top market rates based on seniority and location, leveraging publicly available data that we share with you during the process. 🌞 Benefits : Meal vouchers, health & wellness solutions, mobility, travel policy to visit fellow Pruners and a remote stipend for your home workspace. 🛤️ 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 Remote status Hybrid