Senior Deep Learning Scientist- DVPS

ph3About Pi School /h3 pPi School is on a mission to empower businesses and professionals to leverage AI’s transformative capabilities. We believe technology should be an enabler, not a barrier, and it should empower individuals and businesses to grow, innovate, and stay connected. We strive for a world where AI and human potential coexist harmoniously, reshaping the way we work, learn, and prosper. /p pBorn in 2017 from the expertise of Translated, an industry pioneer with over two decades of leadership in AI + human translation, Pi School has helped over 100 companies integrate AI solutions to improve their operations, enhance decision-making, and achieve sustainable growth. /p pPi School remains at the forefront of the ever‑evolving AI landscape and collaborates with prominent research centres and organisations worldwide, such as the European Space Agency (ESA) and the European Commission, to harness AI for both cutting‑edge research and practical solutions, driving progress in science and beyond. Our approach is founded on purposeful, impactful work, leveraging technology as a force for good. /p pWe are looking for a Senior Deep Learning Scientist to work in our office in Rome. /p pPi School has just been awarded a grant on DVPS, a 29M€, 4‑year collaborative research project starting in July 2025. DVPS develops the science of multimodal foundation models and deploys them on problems in Earth observation, language and cardiology. DVPS stands for the project's motto, Diversibus Viis Plurima Solvo, meaning "Through various paths, I solve many problems". /p pThe project is endowed with computing resources matching its ambition. We estimate it will run on 30M GPU‑hours provided by EuroHPC, running on the major Exascale and Petascale compute infrastructure in Europe. /p pFor maximum impact, all research outcomes of DVPS, such as trained models, datasets, and evaluation benchmarks, will be open‑sourced on HuggingFace. /p h3Responsibilities /h3 pYou will be part of a team of engineers and scientists dedicated to DVPS within Pi School’s AI Research team, which works on several pieces of AI technology. /p pIn this role, you will: /p ul liwork with data, compute and algorithms /li lidesign of deep learning multimodal neural architectures /li lidesign experiments, implement them in code, run them on large (GPU on HPC) compute, run evaluations /li limonitor and benchmark the state of the art /li lihave the opportunity to give guidance to more junior team members such as PhD students and interns /li licoordinate with our partners on our research roadmap /li liadapt the project's pace to the rapid scientific development in our field /li liorganize publications and open‑sourcing efforts /li /ul h3Requirements /h3 pCompleted PhD or 4 years of industry research experience in a relevant field of deep learning, machine learning, or applied (preferably language, clinical medicine, robotics, vision, audio) /p pexperience guiding junior researchers, defining a research project and conducting experiments /p ul liAbility to design and run experiments methodically, analyse results, and iterate quickly /li liStrong communication skills and proficiency in English /li liExperience documenting technical work and research findings /li /ul h3Technical Skills /h3 ul liExcellent programming skills in Python /li liProficiency in deep learning frameworks (PyTorch or TensorFlow) /li liExperience in Linux/Unix environments /li liHands‑on experience with transformer architectures and the HuggingFace ecosystem /li liExperience training and fine‑tuning language models using libraries like Axolotl, Unsloth, or similar /li liFamiliarity with at least one modality deeply (language, vision, or audio) /li liAbility to translate AI research papers into practical implementations /li liExperience using version control (Git), experiment tracking tools (e.g. MLflow) /li liHands‑on experience running GPU experiments (HPC or cloud: AWS, GCP, RunPod, Lambda Labs) /li /ul h3Bonus points if… /h3 ul liyou’re strong in GPU training and inference optimization /li liyou’re a polyglot /li liyou have open‑source contributions /li liyou have published at tier‑1 ML/AI conferences such as NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, ICCV /li /ul h3Our office /h3 pPi School is hosted at Pi Campus, a working environment immersed in nature. Six luxury villas in Rome (Italy) have been converted into functional offices to foster talent growth. Pi Campus is also a venture firm created by Translated to reinvest part of its profits into promising AI startups. /p h3Benefits and Perks /h3 pOur working environment is both relaxed and intense. We are passionate about our mission, and our work is highly regarded in our industry. /p ul liFresh fruit and snacks /li liAccess to the pool and Turkish bath /li liSports activities: gym and pilates /li liFree time in between your tasks to work on your personal projects /li liAccess to the Pi Campus parties and gatherings /li /ul h3Diversity /h3 pAt Pi School, we proudly embrace and celebrate each individual’s unique qualities in our team, regardless of race, sexual orientation, gender identity, or other differences. We recognise that these diverse perspectives empower us to overcome challenges, foster innovation, and drive excellence. As an inclusive and equal opportunity employer, we are committed to cultivating an environment where everyone feels welcome, valued, and supported to achieve their full potential. /p /p #J-18808-Ljbffr