About the Company
Domyn is a company specializing in the research and development of Responsible AI for regulated industries, including financial services, government, and heavy industry. It supports enterprises with proprietary, fully governable solutions based on a composable AI architecture — including LLMs, AI agents, and one of the world’s largest supercomputers.
At the core of Domyn’s product offer is a chip-to-frontend architecture that allows organizations to control the entire AI stack — from hardware to application — ensuring isolation, security, and governance throughout the AI lifecycle.
Its foundational LLMs, Domyn Large and Domyn Small, are designed for advanced reasoning and optimized to understand each business’s specific language, logic, and context. Provided under an open-enterprise license, these models can be fully transferred and owned by clients.
Once deployed, they enable customizable agents that operate on proprietary data to solve complex, domain-specific problems. All solutions are managed via a unified platform with native tools for access management, traceability, and security.
Powering it all, Colosseum — a supercomputer in development using NVIDIA Grace Blackwell Superchips — will train next-gen models exceeding 1T parameters.
Domyn partners with Microsoft, NVIDIA, and G42. Clients include Allianz, Intesa Sanpaolo, and Fincantieri.
About the Role
Job Title: AI Research Scientist
Location: Remote (Italy)
Employment Type: Full-time
Department: Development
Overview
We’re looking for an AI Research Scientist to join our AI Research Team in Milan. You will push the boundaries of artificial intelligence, driving fundamental advancements in generative modeling, reinforcement learning, and multimodal reasoning. Your work will directly shape the future of AI, leading groundbreaking research and translating insights into real-world impact.
Responsibilities
- Drive advancements in generative modeling, reinforcement learning, and multimodal reasoning.
- Lead groundbreaking research and translate insights into real-world applications.
Requirements
What You Have
- PhD in Computer Science, Artificial Intelligence, or a related field, or equivalent practical experience.
- At least 5 years of proven experience as an AI research engineer or more than 2 years of experience and a PhD.
- Proven record of contributing to AI publications, highlighting a keen understanding of cutting-edge research.
- Expertise in generative modeling, including autoregressive transformers, diffusion models, or VAEs.
- Expertise in reinforcement learning, particularly RLHF, multi-agent systems, or reward modeling.
- Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, JAX).
- Deep understanding of experimental design, statistical significance testing, and large-scale A/B experimentation.
What Would Be Nice to Have
- Contributions to ethical AI, including bias mitigation techniques, fairness metrics, or AI alignment research.
- Experience with distributed training infrastructure (e.g., DeepSpeed, Megatron-LM, Lightning).
Who You Are
- Unwavering Excellence: Your academic or professional journey is marked by consistent accomplishments, always striving for superior outcomes.
- Pioneering Thinker: You challenge existing paradigms, identifying fundamental limitations and developing transformative AI solutions.
- Passionate Enthusiast: You have a genuine love for the field and stay updated with the latest developments.
- Collaborative Scientist: You thrive in interdisciplinary teams, bridging cognitive science, deep learning, and AI safety.
- Impact-Driven: Your research isn’t just theoretical—you strive to shape the next generation of AI systems in real-world applications.
- Fluent in English: You're eager to contribute in a multicultural, international setting.
Benefits
- Learning Friday: Training budget for books, online courses, or other training materials.
- Smart Working: Opportunity to work from home, saving commuting time.
- Salary: Competitive salary based on experience, typically ranging between €50,000 and €80,000, with potential bonuses and company equity. Compensation will be reviewed based on contributions to the business.
