Translated · Roma, Lazio, Italia · · 50€ - 70€


Descrizione dell'offerta

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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.

The 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 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.

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, 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.

  • work 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 PhD 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 efforts

Requirements

  • 3 years of directly relevant industry or academic research experience
  • experience in coordinating a team of researchers and defining roadmaps
  • 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

Bonus points if…

  • you'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

Headquarters

Translated 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 Perks

At 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 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. In case of need, every team member has access to psychological, legal, and financial support.

Learn more about our company:

Diversity Statement

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.

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Approfondimento sul ruolo

Translated ricerca un Lead Deep Learning Scientist (On-site) presso la sede di Roma per unirsi a un team di ricerca e sviluppo all'avanguardia. Si tratta di un'opportunità unica per contribuire alla realizzazione di Multimodal Foundation Models in un contesto science-driven dove l'innovazione ha impatto immediato sulle operazioni aziendali.

Il ruolo

Come Lead Deep Learning Scientist, avrai la responsabilità di progettare e implementare soluzioni innovative basate su deep learning nel campo della traduzione automatica e dei modelli linguistici. Il ruolo richiede non solo eccellenza tecnica nella ricerca, ma anche capacità di coordinamento di attività tecniche, comunicative e di team management. Contribuirai direttamente all'avanzamento della ricerca in ambito LLMs e sintesi vocale espressiva, con il valore aggiunto di vedere i tuoi risultati diventare rapidamente produttivi.

Competenze valorizzate

  • Esperienza consolidata in deep learning e machine learning
  • Competenze avanzate in modelli linguistici di grandi dimensioni (LLMs)
  • Capacità di leadership tecnica e coordinamento di team
  • Conoscenza di multimodal foundation models e computer vision
  • Eccellente problem-solving e orientamento alla ricerca scientifica

Lavorare a Roma

Roma rappresenta un hub crescente per l'innovazione tecnologica e la ricerca nel settore dell'IA e della traduzione automatica. La posizione on-site presso la sede romana di Translated offre l'opportunità di lavorare in un ambiente collaborativo con professionisti di alto livello e di accedere agli asset e alle risorse computazionali dell'azienda. Il contesto lavorativo della capitale favorisce una comunità di ricercatori e innovatori nel settore tech.

Domande frequenti

Quali sono le responsabilità principali di un Lead Deep Learning Scientist (On-site)?
Le responsabilità includono la progettazione e implementazione di modelli deep learning innovativi, il coordinamento tecnico di progetti di ricerca, la gestione di team e attività di comunicazione, e la trasformazione rapida della ricerca in soluzioni produttive. Il focus è su Multimodal Foundation Models e loro applicazione nel dominio della traduzione.
Quali requisiti sono fondamentali?
È richiesta una forte esperienza in deep learning, conoscenza approfondita di LLMs e multimodal models, capacità di leadership tecnica e coordinamento di team. Essenziale è l'entusiasmo per la ricerca scientifica applicata e la capacità di convertire risultati accademici in prodotti impattanti.

Competenze rilevate

Candidatura e Ritorno (in fondo)