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Crea una Job Alert gratuita per senior deep learning scientist (on-site) / roma

Senior Deep Learning Scientist (On-site)

Pubblicato il 20-08-2026 - Translated in Roma

ph3Senior Deep Learning Scientist (On-site) /h3 p1 day ago Be among the first 25 applicants /p h3About Translated /h3 pTranslated 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 RD, 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. /p h3Project: DVPS /h3 pTranslated 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 EuroHPC, 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 HuggingFace.



/p h3Responsibilities /h3 pYou 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. /p h3In This Role, You Will /h3 ul liwork with data, compute and algorithms /li lidesign 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 ul licompleted PhD 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) /li liexperience guiding junior researchers, defining a research project and experiments /li liexcellent programming skills: PyTorch /li lifamiliarity with Docker and Unix OS, including running GPU experiments /li liinterest in carrying out experimental research /li lirelevant scientific publications,



teaching and research experience /li liexcellent command of English /li /ul h3Bonus Points /h3 ul listrong in GPU training and inference optimisation /li lipolyglot /li liopen‑source contributions /li lipublications at tier‑1 ML/AI conferences such as NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, ICCV /li /ul h3Headquarters /h3 pTranslated is hosted at Pi Campus, a working environment immersed in nature where 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 pAt Translated, we see our people as athletes, and Pi Campus as the place where they can reach their full potential. This vibrant environment fosters talent aggregation and continuous growth of mind, body and spirit. We nurture and support the team’s personal and professional development every day through growth‑oriented initiatives like personalized learning paths and networking events with industry leaders. Health‑oriented initiatives include massages, sauna, and workouts in our gym and swimming pool, as well as relaxation rooms, open meeting rooms, a cafeteria, and fully equipped kitchens in every villa. In case of need, every team member has access to psychological, legal, and financial support. Learn more about our company: /p h3Diversity Statement /h3 pAt Translated, we proudly embrace and celebrate each individual’s unique qualities in our team, regardless of race, sexual orientation, gender identity, or any other differences. We recognize 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

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