About Arsenale Bioyards

Arsenale is reimagining industry for the neo-industrial age — building a new production infrastructure grounded in biology, intelligence, and regeneration. Our proprietary platform unites precision fermentation, advanced hardware, sensing, and AI to enable nature-aligned manufacturing at scale.

We are a collective of neo-industrialists — curious, critical minds united by a commitment to reshaping how the world makes things. International by nature, we work across disciplines and borders, bound by shared values. English is our corporate language.

If you're drawn to systems thinking, deep complexity, and the possibility of building something fundamentally new — we'd like to meet you.

The Opportunity

To help us reach this goal, we seek multiple highly skilled Research Scientists to join the Data and AI team. These are high-impact roles at the core of our AI efforts, ideal for individuals with a strong background in machine learning and a passion for solving real-world scientific and engineering challenges.

Role Purpose

As a Research Scientist at Arsenale, you will lead projects involving the application of machine learning solutions across diverse domains within the company. You will work closely with interdisciplinary teams, from fermentation scientists to microbiologists, in order to bring data-driven perspectives to complex problems and communicate with non-technical stakeholders.

Your Impact

• Leading projects involving the application of machine learning solutions across diverse domains within the company
• Working closely with interdisciplinary teams, from fermentation scientists to microbiologists
• Bringing data-driven perspectives to complex problems
• Communicating with non-technical stakeholders to translate technical insights
• Developing and deploying AI systems that support Arsenale's bio-manufacturing platform
• Contributing to scientific research and publications that advance the field

Essential skills

• PhD in machine learning, computer vision, NLP, or related fields.
• Excellent proficiency in Python and PyTorch.
• Strong analytical and problem-solving skills.
• Excellent English communication skills for technical and non-technical audiences.