Senior Deep Learning Scientist (On-site) 1 day ago Be among the first 25 applicants About Translated Translated is on a mission to allow everyone to understand and be understood, in their own language. We are a technology‑powered professional translation provider. We partner with over 200 000 professional translators worldwide, in 200 languages. Our 310 000 clients range from the private person who needs their CV translated to the very big, like Uber and Airbnb. Our progress is largely powered by our ability to leverage scientific progress and realize the best synergy between humans and machines. We invest heavily in R&D;, such as LLMs applied to translation, expressive speech synthesis, and privacy‑preserving training for translation. We operate as a science‑driven startup, so that our scientific innovations quickly make it to production and make a measurable impact on our operations. The ideal candidate should have a strong enthusiasm for contributing to the design and implementation of Multimodal Foundation Models. Additionally, they should be capable of coordinating technical, communication, and team activities. Project: DVPS Translated has been awarded funding for the DVPS project, a collaborative research initiative worth 29 million euros over 4 years, which will be led by Translated. DVPS develops the science of multimodal foundation models and applies them to problems in the fields of Earth observation, language, and cardiology. DVPS is an acronym for the project’s motto, “Diversibus Viis Plurima Solvo”, meaning “Through various paths, I solve many problems.” The project has computing resources that match its ambition. It is estimated to use 30 million GPU‑hours provided by Euro HPC, operating on Europe’s major Exascale and Petascale computing infrastructures. To ensure maximum impact,



all research outcomes of DVPS—including trained models, datasets, and evaluation benchmarks—will be released as open source on Hugging Face. Responsibilities You will be part of a team of researchers dedicated to DVPS within Translated’s AI Research team, which works on several pieces of technology such as Large Language Models, machine translation, speech foundation models, and privacy‑preserving machine learning. The AI Research team collaborates closely with product and engineering teams and develops the technology to power Translated’s next generation of products. In This Role, You Willwork with data, compute and algorithms design deep learning multimodal neural architectures design experiments, implement them in code, run them on large (GPU on HPC) compute, run evaluations monitor and benchmark the state of the art have the opportunity to give guidance to more junior team members such as Ph D students and interns coordinate with our partners on our research roadmap adapt the project’s pace to the rapid scientific development in our field organize publications and open‑sourcing effortsRequirementscompleted Ph D or 4 years of industry research experience in a relevant field of deep learning, machine learning, either applied (preferably language, clinical medicine, Earth observation, robotics, vision, audio) experience guiding junior researchers, defining a research project and experiments excellent programming skills: Py Torch familiarity with Docker and Unix OS, including running GPU experiments interest in carrying out experimental research relevant scientific publications, teaching and research experience excellent command of EnglishBonus Pointsstrong in GPU training and inference optimisation polyglot open‑source contributions publications at tier‑1 ML/AI conferences such as Neur IPS, ICML, ICLR, ACL, EMNLP, CVPR, ICCV

📌 Senior deep learning scientist (on-site) (Roma)
🏢 Translated
📍 Roma