Applied AI Researcher – Foundation Models

About Translated

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 worlds 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 Translateds next generation of Large Language Models.

The team works closely with Translateds 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 benchmarks
• monitor 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 35.00000 and 55.00000. 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 teams 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 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 individuals 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.