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AI Scientist

Translated

Roma

In loco

EUR 45.000 - 65.000

Tempo pieno

9 giorni fa

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Descrizione del lavoro

A leading AI-focused translation company is seeking an AI Scientist to advance their Machine Translation system. You will manage projects autonomously, leverage innovative research, and collaborate with a multidisciplinary team. The ideal candidate has an MSc in machine learning and strong experience with large language models. This full-time position is based in Rome, Italy and offers a stimulating work environment with many perks to foster personal and professional growth.

Servizi

Personalized business coaching
On-site wellness facilities
Social events and community gatherings
Immersive company retreats

Competenze

  • 3 years of experience in industry/research.
  • Experience with distributed training frameworks.
  • Ability to iterate quickly based on data analytics.

Mansioni

  • Conduct product-driven research to enhance translation quality.
  • Manage project lifecycle from planning to deployment.
  • Utilize HPC clusters for scalable training tasks.

Conoscenze

Fine-tuning Large Language Models
Python proficiency
Collaborative teamwork
Problem-solving
Effective communication

Formazione

MSc in machine learning or related field

Strumenti

PyTorch
DeepSpeed
Descrizione del lavoro
About Translated

Translated is a leading company in AI-enabled translation services. We are on a mission to allow everyone to understand and be understood in their own language.

Our success stems from a unique blend of the worlds #1 adaptive neural machine translation technology (IDC MarketScape 2022), the largest network of vetted native-speaking professional translators and top-ranked AI-enabled text audio and video translation tools (Gartner 2022).

By leveraging a seamless symbiosis of artificial intelligence and human creativity we design custom localization projects that were previously unthinkable, helping more than 360,000 clients grow their businesses worldwide.

We’re looking for a passionate AI Scientist to join the Translated team in our HQ in Pi Campus Rome. Our team is developing the next-generation Machine Translation System with the ambitious goal of reaching the singularity that we define as the quality of the top‑1% professional translator and making it available to millions of people worldwide.

What You’ll Do
  • Product-driven research: apply the latest research to improve the quality of our Machine Translation solution and make an impact on our latest product.
  • Autonomously manage the full project lifecycle from planning to deployment providing key insights and technical directions.
  • Utilize an HPC cluster for scalable multi-node training tasks to accelerate model development and quickly evaluate research ideas.
  • Collaborate with a multidisciplinary team of product owners designers developers and system administrators.
  • Participate in continuous learning opportunities to stay ahead in the fast-evolving field of AI and Machine Translation.
Qualifications Required
  • MSc in machine learning or a related field and 3 years of industry / research experience (a PhD is considered equivalent).
  • Proven experience in fine-tuning Large Language Models using distributed training frameworks and libraries (e.g. DeepSpeed FSDP Transformers).
  • Proficiency in Python and experience with at least one deep learning framework (e.g. PyTorch).
  • Proactive self‑driven and enjoys solving complex problems not just in the primary area of responsibility but across boundaries.
  • Excellent communication and teamwork skills with the capacity to convey technical concepts to non‑expert audiences.
  • Ability to iterate quickly and make decisions based on results and data analytics.
Additional Preferred Qualifications
  • Experience developing Machine Translation models is a strong plus.
  • Experience with modern LLM alignment techniques such as Reinforcement Learning from Human Feedback (RLHF), DPO and GRPO.
  • Experience with job scheduling and workload management systems particularly Slurm.
Headquarter

Translated is hosted at Pi Campus, a working environment immersed in nature where 7 luxury villas 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 – a vibrant environment that fosters continuous growth of mind, body and spirit while nurturing and supporting their personal and professional development every day.

With us you’ll have the opportunity to expand your network by attending exclusive events and connecting with industry leaders to build valuable relationships for your professional growth.

Our career support includes personalized business coaching designed to help you achieve your goals and unlock your full potential.

Working with us also means comfort and community. We offer fully equipped kitchens and spaces designed for relaxation and socializing. After work you can join fun after‑work gatherings to unwind and enjoy time with colleagues.

For the physical and mental well‑being we offer massages, a swimming pool, sauna, sports activities and a confidential psychological support service. You’ll also have access to a Support Fund and legal advice.

We organize immersive company retreats and unique experiences designed to strengthen team bonds and celebrate achievements together.

Equal Employment Opportunity

At Translated we proudly embrace and celebrate each individual’s unique qualities 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.

Job Information
  • Employment Type: Full‑Time
  • Department / Functional Area: Engineering
  • Vacancy: 1
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