Senior Deep Learning Scientist (On-Site) (Spoleto)

Senior Deep Learning Scientist (On-Site) (Spoleto)

30 ago
|
Translated
|
Spoleto

30 ago

Translated

Spoleto

ppAbout TranslatedTranslated is on a mission to allow everyone to understand and be understood, in their own language. /p pSi candidi qui sotto dopo aver letto tutti i dettagli e le informazioni di supporto relative a questa opportunità di lavoro. /p pWe are a technology-powered professional translation provider. /p pWe partner with over 200 000 professional translators worldwide, in 200 languages. /p pOur 310 000 clients range from the private person who needs their CV translated to the very big, like Uber and Airbnb. /p pOur progress is largely powered by our ability to leverage scientific progress and realize the best synergy between humans and machines. /p pWe invest heavily in RD, such as LLMs applied to translation, expressive speech synthesis, and privacy-preserving training for translation. /p pWe operate as a science-driven startup, so that our scientific innovations quickly make it to production and make a measurable impact on our operations. /p pThe ideal candidate should have a strong enthusiasm for contributing to the design and implementation of Multimodal Foundation Models. /p pAdditionally, they should be capable of coordinating technical, communication, and team activities.The project: DVPSTranslated 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. /p pDVPS develops the science of multimodal foundation models and applies them to problems in the fields of Earth observation, language, and cardiology. /p pDVPS 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. /p pIt 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 /p ul liincluding trained models, datasets, and evaluation benchmarks /li liwill be released as open source on HuggingFace. /li /ul 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, privacy-preserving machine learning. /p pThe 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 efforts /p h3Requirements /h3 pcompleted 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 experiments; excellent programming skills: Pytorch; 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 English. /p h3Bonus points if... /h3 pyou're strong in GPU training and inference optimization; you're a polyglot; you have open-source contributions; you have published at tier-1 ML/AI conferences such as NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, ICCV. /p 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. /p pPi Campus is also a venture firm created by Translated to reinvest part of its profits into promising AI startups. /p h3Our Offer /h3 pBased on a standard level of experience, the offered salary typically ranges between €48.000,00 and €68.000,00. /p pThe actual package depends on factors such as location, scope of responsibilities, and performance. /p pCompensation generally grows quickly as experience leads to greater contributions. /p pExceptionally strong candidates may be offered salaries above this range to acknowledge their higher potential impact. /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. /p pThis vibrant environment fosters talent aggregation and continuous growth of mind, body, and spirit. /p pWe 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 like 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. /p pIn case of need, every team member has access to psychological, legal, and financial support. /p pLearn more about our company: StatementAt 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. /p pWe recognize that these diverse perspectives empower us to overcome challenges, foster innovation, and drive excellence. xysqume /p h3As an inclusive and equal-opportunity employer /h3 pwe are committed to cultivating an environment where everyone feels welcome, valued, and supported to achieve their full potential. /p h3Summary /h3 pLocation: Rome, Italy /p pType: Tempo pieno /p pExperience: Experienced /p pDepartment: AI Research /p /p #J-18808-Ljbffr

📌 Senior Deep Learning Scientist (On-Site) (Spoleto)
🏢 Translated
📍 Spoleto

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