Junior Deep Learning Scientist (On-site)

Translated Srl; Roma; In loco; EUR 40.000 - 70.000; Tempo pieno

Descrizione del lavoro

A leading translation technology company in Rome seeks an AI Researcher to drive the development of Multimodal Foundation Models. You will design experiments and deep learning architectures while mentoring junior members. The ideal candidate holds a Master's degree in AI or Computer Science, possesses solid programming skills in PyTorch, and is proficient in experimental research. The role offers a stimulating work environment focused on professional growth and collaboration on cutting-edge technology projects.

Servizi

Personalized learning paths

Wellness initiatives including massages and gym access

Psychological, legal, and financial support

Competenze

• Master's degree in AI, Computer Science, Deep Learning required.
• Demonstrated interest in foundation models essential.
• Excellent programming skills in PyTorch needed.

Mansioni

• Work with data, compute, and algorithms.
• Design and implement deep learning multimodal neural architectures.
• Monitor and benchmark the state of the art in AI.

Conoscenze

Deep Learning

Programming in PyTorch

GPU training and inference optimization

Experimental research

Multimodal neural architectures

Formazione

Master's degree in AI, Computer Science, or similar

Strumenti

Docker

Unix OS

Descrizione del lavoro

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.

In this role, you will:

• work with data, compute and algorithms
• design of 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

• Master's degree in AI, Computer Science, Deep Learning
• demonstrated research and work interests in foundation models
• 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: https://translated.com/work-at-translated-onboarding

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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