Applied AI Researcher – Foundation Models

About Translated

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Translated is a leading provider of AI-powered language solutions. Founded in 1999 by a linguist and a computer scientist, we are on a mission to allow everyone to understand and be understood in their own language.

We envision a world where people from different cultures can communicate seamlessly, gaining unprecedented access to knowledge, cultural exchange, and opportunity. To make this possible, we combine proprietary translation AI (Lara Translate) with advanced text, audio, and video translation technologies (Matecat, Matesub, and Matedub) and the world’s largest network of vetted, native-speaking language professionals.

We welcome complex technical challenges from our customers and engineer tailored solutions that often become part of our core products, whether integrated into our enterprise localization platform, the tools designed to support translators, or Lara Translate, our online AI translator for teams and individuals.

Everything we build reflects a simple principle: technology should amplify human potential, not replace it.

We believe in humans.

We are looking for an Applied AI Researcher to join our Foundation Models team, working on the development of large-scale textual language models from scratch.

The ideal candidate has a strong interest in Large Language Models, large-scale deep learning, and experimental research, and is excited about pushing the state of the art in multilingual language modeling.

The Project: Foundation Models

Translated is building its own generation of multilingual Foundation Models, with the ambition of advancing the state of the art in open Large Language Models, particularly in multilingual capabilities.

Our work covers the complete LLM pre‑training lifecycle: from data selection and curation to model architecture, scaling experiments, large‑scale distributed training, evaluation, and continued training.

A central research question for the team is how to build models that perform strongly not only in English, but across a broad range of languages, including languages that are traditionally underrepresented in large-scale pre‑training datasets.

This involves research across areas such as:

• 
  
• large-scale language model pre‑training
  
• multilingual language modeling
  
• data curation, filtering, scoring, and mixture design
  
• scaling laws and training dynamics
  
• model architecture and optimization
  
• distributed and multi‑GPU training
  
• evaluation and benchmarking of Large Language Models
  
• continued pre‑training and mid‑training strategies
  

You will work in the Foundation Models team, a multidisciplinary group of scientists and engineers responsible for designing, training, and evaluating Translated’s next generation of Large Language Models.

The team works closely with Translated's AI Research and Engineering organizations, combining experimental research with the engineering required to train models at scale on large GPU clusters and HPC infrastructure.

Responsibilities

• 
  
• design and conduct research on Large Language Model pre‑training
  
• design experiments, implement them in code, run them at scale, and analyze their results
  
• investigate model architectures, optimization strategies, training dynamics, and scaling behavior
  
• research and develop multilingual training strategies
  
• work on data selection, quality, composition, and data mixture experiments for LLM pre‑training
  
• evaluate models across multilingual and general‑purpose benchmarksmonitor and benchmark the state of the art in Large Language Models
  
• run experiments on large‑scale GPU and HPC infrastructure
  
• translate research hypotheses into measurable experiments and actionable decisions for large‑scale training
  

Requirements

• 
  
• 3+ years of research/industry experience in a relevant area of Deep Learning, Machine Learning, Natural Language Processing, or Large Language Models
  
• strong understanding of modern deep learning and Transformer-based language models
  
• excellent programming skills in Python
  
• experience designing and running machine learning experiments
  
• familiarity with GPU-based training environments and Unix/Linux systems
  
• ability to analyze experimental results and make research decisions based on empirical evidence
  
• interest in large-scale experimental research and language model pre‑training
  
• ability to follow, understand, and reproduce recent scientific literature
  
• excellent written and spoken English
  
• ability to work effectively with both researchers and engineers
  

Bonus Points If...

• 
  
• you have direct experience pre‑training or continuing the pre‑training of Large Language Models
  
• you have experience with distributed and multi‑GPU training
  
• you have worked with large‑scale training frameworks such as Megatron Bridge
  
• you have experience optimizing GPU utilization, throughput, memory consumption, or large‑scale training stability
  
• you have worked on multilingual NLP or multilingual language models
  
• you have experience with large-scale dataset curation, filtering, deduplication, or data mixture design
  
• you have experience with LLM evaluation and benchmarking
  
• you have experience working with HPC environments
  

Headquarter

Translated is hosted at Pi Campus, a working environment immersed in nature where six luxury villas in Rome, Italy, have been converted into functional offices designed to foster talent growth. Pi Campus is also a venture firm created by Translated to reinvest part of its profits into promising AI startups.

Our Offer

Depending on expertise, the offered salary typically ranges between €35.000,00 and €55.000,00. Compensation generally grows quickly as experience leads to greater contributions. Exceptionally strong candidates may be offered salaries above this range to acknowledge their higher potential impact.

We offer a flexible remote work policy, combined with a requirement for periodic presence at our Rome HQ.

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: 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. xysqume 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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