Junior/Senior/Lead Deep Learning Scientist (On-site)Translated embraces and celebrates each individual\'s unique qualities. We are an inclusive and equal-opportunity employer, committed to cultivating an environment where everyone feels welcome, valued, and supported to achieve their full potential.About TranslatedTranslated 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 individuals who need their CV translated to large clients like Uber and Airbnb.Our progress is powered by leveraging scientific progress and the best synergy between humans and machines. We invest 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 innovations quickly make it to production and have 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. They should be capable of coordinating technical, communication, and team activities.We recruit at different levels of seniority for this project and expect corresponding professional experience and demonstrated maturity to lead projects and teams for the more senior roles.The project: DVPSTranslated has been awarded a grant on DVPS, a 29M€, 4-year collaborative research project starting in July 2025, which Translated leads. 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", "Through various paths, I solve many problems".The project is endowed with computing resources matching its ambition. We estimate it will run on 30M GPU-hours provided by EuroHPC, running on major Exascale and Petascale compute infrastructure in Europe.For maximum impact, all research outcomes of DVPS, such as trained models, datasets, evaluation benchmarks, will be open-sourced on HuggingFace.What You’ll DoYou 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, 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 will:work with data, compute and algorithmsdesign of deep learning multimodal neural architecturesdesign experiments, implement them in code, run them on large (GPU on HPC) compute, run evaluationsmonitor and benchmark the state of the arthave the opportunity to give guidance to more junior team members such as PhD students and internscoordinate with our partners on our research roadmapadapt the project\'s pace to the rapid scientific development in our fieldorganize publications and open-sourcing effortsQualifications RequiredJuniorMaster\'s degree in AI, Computer Science, Deep Learningdemonstrated research and work interests in foundation modelsSeniorcompleted 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)experience guiding junior researchers, defining a research project and experimentsLeadas Senior, with 3 years of directly relevant industry or academic research experienceexperience in coordinating a team of researchers and defining roadmapsexcellent programming skills: Pytorchfamiliarity with Docker and Unix OS, including running GPU experimentsinterest in carrying out experimental researchrelevant scientific publications, teaching and research experienceexcellent command of Englishyou\'re strong in GPU training and inference optimizationyou\'re a polyglotyou have open-source contributionsyou have published at tier-1 ML/AI conferences such as NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, ICCVOur officeTranslated 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.Benefits and PerksOur working environment is both relaxed and intense. We are passionate about our mission, and our work is highly regarded in our industry. You will be surrounded by innovators and experts working at Pi Campus, a venture fund and startup ecosystem. A great environment to grow your skills.At Translated, we see our people as athletes, and Pi Campus as the place where they can reach their full potential — a vibrant environment that fosters continuous growth of mind, body, and spirit, while nurturing and supporting their personal and professional development every day.With us, you\’ll have the opportunity to expand your network by attending exclusive events and connecting with industry leaders, building valuable relationships for your professional growth. Our career support includes personalized business coaching, designed to help you achieve your goals and unlock your full potential.Working with us also means comfort and community. We offer fully equipped kitchens and spaces designed for relaxation and socializing. After work, you can join fun after-work gatherings to unwind and enjoy time with colleagues.For the physical and mental well-being, we offer massages, a swimming pool, sauna, sports activities, and a confidential psychological support service. You\’ll also have access to a Support Fund and legal advice.We organize immersive company retreats — unique experiences designed to strengthen team bonds and celebrate achievements together.At Translated, we proudly embrace and celebrate each individual\'s unique qualities to 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.What was the hardest piece of work you produced using neural networks? Have you implemented algorithms from recent publications?What\'s an important chapter we ought to have in the DVPS textbook "Principles and Practice of Multimodal Foundation Models"?
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